Presentation by Dr. Elena Faccenda on the IUPHAR/BPS Guide to Immunopharmacology at the 39° Congresso Nazionale della Società Italiana di Farmacologia in Florence, Nov 2019
This document discusses the IUPHAR/BPS Guide to Pharmacology database and related resources. It provides open access information on pharmacological targets and the substances that act on them. It includes over 1,700 human drug targets, 9,700 ligands including 1,300 approved drugs. Related databases include the Guide to Immunopharmacology and Guide to Malaria Pharmacology. The databases are regularly updated and include links to other resources to enable interoperability.
1) Researchers have created a new online resource called the IUPHAR/MMV Guide to Malaria Pharmacology (GtoMPdb) to curate information on antimalarial compounds and their molecular targets in Plasmodium.
2) The database currently contains 25 Plasmodium molecular targets and 57 antimalarial ligands that were manually curated from scientific literature.
3) A new customized online portal provides open access to the antimalarial data and allows browsing by parasite lifecycle stage, target species, and other features to help malaria research.
The IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb) is an expert-driven, open database of pharmacological targets and the substances that act on them. It contains information on over 1,800 drug targets and 1,100 related proteins. The database is curated by 500 experts and provides detailed pharmacological data as well as overviews of key properties and ligands. Specialized extensions of GtoPdb include guides to immunopharmacology and malaria pharmacology that connect their fields to drug discovery. The database is continuously updated with new targets, ligands, features and access methods.
Poster presented at the Elixir All-Hands Meeting in Lisbon, June 2019. Gives a broad summary of Guide to Pharmacology activities in the last year. Emphasising new tools and our extension into malaria pharmacology.
PubChem is a key chemical information resource at the National Center for Biotechnology Information that contains 247.3 million substance descriptions, 96.5 million unique chemical structures, and 237 million bioactivity test results. It organizes data into the Substance, Compound, and BioAssay databases. PubChem provides search and analysis tools for its extensive and growing collection of chemical and biological data.
Searching for chemical information using PubChemSunghwan Kim
Presented at the 257th American Chemical Society (ACS) National Meeting in Orlando, FL (April 1, 2019). [CHED 303]
==== Abstract ====
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a public chemical database, which provides information on a broad range of chemical entities, including small molecules, lipids, carbohydrates, and (chemically-modified) amino acid and nucleic acid sequences (including siRNA and miRNA). With three million unique users per month at peak, PubChem is ranked as one of the most visited chemistry websites in the world. A substantial number of PubChem users are between ages 18 and 24, who are likely to be undergraduate or graduate students at academic institutions. Therefore, PubChem has a great potential as an online resource for chemical education. In this talk, we will present “PubChem Search”, a new web interface that allows users to quickly find desired chemical information. This interface supports chemical name search as well as various types of chemical structure search, including identity/similarity search, superstructure/substructure search, and molecular search. Using PubChem Search, it is also possible to search for journal articles or patent documents that mention a given chemical. The hits returned from a search can be downloaded to local machines or further refined or analyzed in conjunction with other PubChem tools and services. In this presentation, we will demonstrate how the PubChem Search interface can be used to search beyond google for chemical information of interest.
Presentation by Dr. Elena Faccenda on the IUPHAR/BPS Guide to Immunopharmacology at the 39° Congresso Nazionale della Società Italiana di Farmacologia in Florence, Nov 2019
This document discusses the IUPHAR/BPS Guide to Pharmacology database and related resources. It provides open access information on pharmacological targets and the substances that act on them. It includes over 1,700 human drug targets, 9,700 ligands including 1,300 approved drugs. Related databases include the Guide to Immunopharmacology and Guide to Malaria Pharmacology. The databases are regularly updated and include links to other resources to enable interoperability.
1) Researchers have created a new online resource called the IUPHAR/MMV Guide to Malaria Pharmacology (GtoMPdb) to curate information on antimalarial compounds and their molecular targets in Plasmodium.
2) The database currently contains 25 Plasmodium molecular targets and 57 antimalarial ligands that were manually curated from scientific literature.
3) A new customized online portal provides open access to the antimalarial data and allows browsing by parasite lifecycle stage, target species, and other features to help malaria research.
The IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb) is an expert-driven, open database of pharmacological targets and the substances that act on them. It contains information on over 1,800 drug targets and 1,100 related proteins. The database is curated by 500 experts and provides detailed pharmacological data as well as overviews of key properties and ligands. Specialized extensions of GtoPdb include guides to immunopharmacology and malaria pharmacology that connect their fields to drug discovery. The database is continuously updated with new targets, ligands, features and access methods.
Poster presented at the Elixir All-Hands Meeting in Lisbon, June 2019. Gives a broad summary of Guide to Pharmacology activities in the last year. Emphasising new tools and our extension into malaria pharmacology.
PubChem is a key chemical information resource at the National Center for Biotechnology Information that contains 247.3 million substance descriptions, 96.5 million unique chemical structures, and 237 million bioactivity test results. It organizes data into the Substance, Compound, and BioAssay databases. PubChem provides search and analysis tools for its extensive and growing collection of chemical and biological data.
Searching for chemical information using PubChemSunghwan Kim
Presented at the 257th American Chemical Society (ACS) National Meeting in Orlando, FL (April 1, 2019). [CHED 303]
==== Abstract ====
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a public chemical database, which provides information on a broad range of chemical entities, including small molecules, lipids, carbohydrates, and (chemically-modified) amino acid and nucleic acid sequences (including siRNA and miRNA). With three million unique users per month at peak, PubChem is ranked as one of the most visited chemistry websites in the world. A substantial number of PubChem users are between ages 18 and 24, who are likely to be undergraduate or graduate students at academic institutions. Therefore, PubChem has a great potential as an online resource for chemical education. In this talk, we will present “PubChem Search”, a new web interface that allows users to quickly find desired chemical information. This interface supports chemical name search as well as various types of chemical structure search, including identity/similarity search, superstructure/substructure search, and molecular search. Using PubChem Search, it is also possible to search for journal articles or patent documents that mention a given chemical. The hits returned from a search can be downloaded to local machines or further refined or analyzed in conjunction with other PubChem tools and services. In this presentation, we will demonstrate how the PubChem Search interface can be used to search beyond google for chemical information of interest.
Antimalarial drug dscovery data disclosureChris Southan
Dr. Christopher Southan presented on comparing open and closed antimalarial drug discovery approaches. He examined 32 recent antimalarial compounds and found major data connectivity issues, such as leads not being findable by code name or having publications not citing patents. In contrast, the open source Sydney University Malaria Project surfaces structures and shares data in near real-time through open lab books and crowdsourcing. Dr. Southan analyzed their collection of 411 molecules and found 250 matched in PubChem quickly. Open approaches can accelerate discovery by years by openly sharing data.
Guide to PHARMACOLOGY: a web-Based Compendium for Research and EducationChris Southan
This document summarizes a presentation about the IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb) database. The following key points are made:
- GtoPdb is an online resource containing information on over 8,000 ligands and their interactions with around 1,500 human protein targets. It has been used widely by researchers and educators since 2009.
- The database contains detailed information on drug targets like GPCRs, ion channels, and enzymes. It also provides data on ligands, drugs, interactions between ligands and targets, and related clinical information.
- Users can browse targets and ligands or search the database. Detailed target pages contain pharmacology data, mechanisms, and links
These slides will be presented at the Pharmacology 2017 meeting in London during the following session:
Abstract Number: OB073
Abstract Title: Capturing new BIA 10-2474 molecular data in the IUPHAR/BPS Guide to PHARMACOLOGY
Date: Wednesday, December 13, 2017, 11:30 AM
Oral Session: Oral Communications: Mixed Tracks
IUPHAR/BPS Guide to PHARMACOLOGY in 2017: new features and updatesGuide to PHARMACOLOGY
This document summarizes updates to the IUPHAR/BPS Guide to PHARMACOLOGY database. It provides expert curated data on human drug targets and ligands. Recent additions include new target families, ligands, and links to immunopharmacology data. New features include download options, search tools, and organization of ligand families. The database is maintained by an international team and network of scientists and provides a resource for pharmacology education and research.
PubChem as a resource for chemical information trainingSunghwan Kim
Presented at the 257th American Chemical Society (ACS) National Meeting in Orlando, FL (March 31, 2019). [CINF 13]
==== Abstract ====
Libraries at many large academic institutions provide chemical information training programs for students. However, these programs are based on commercial chemical information resources, which come with non-trivial subscription fees. These fees are often too expensive for small organizations, including many primarily undergraduate institutions (PUIs) and community colleges (CCs). It leads to disparity in access to chemical information as well as learning opportunities among students. This issue may be addressed at least in part by developing free online training programs based on public chemical databases, such as PubChem (https://pubchem.ncbi.nlm.nih.gov). PubChem has a great potential as an online resource for chemical education, but it also has important issues that students and teachers should keep in mind, such as data accuracy, data provenance, structure standardization, terminologies and so on. In this presentation, we will discuss various aspects of PubChem as a resource for chemical information training.
Curatorial data wrangling for the Guide to PHARMACOLGY Chris Southan
This document discusses the challenges and experiences of curating quantitative target-ligand interaction data for the Guide to PHARMACOLOGY database from the primary literature. Standardizing entities such as proteins, ligands, and measurement units across different data sources can be difficult due to inconsistencies in naming, identifiers, and reporting of values. Initiatives by publishers to have authors mark up key entities in manuscripts may help curators but will not solve all compatibility issues. The curation process also requires judgment calls on issues like resolving conflicts between data sources and determining whether reported data can be structurally defined.
Searching for patent information in PubChem Sunghwan Kim
Presented at the 256th American Chemical Society (ACS) National Meeting in Boston, MA (August 19, 2018).
==== Abstract ====
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a public chemical information resource, containing more than 242 million chemical substance descriptions, 94 million unique compounds, and 234 million bioactivities determined from 1.25 million assay experiments. Importantly, data contribution from multiple sources, including IBM, SureChEMBL, ScripDB, NextMove, and BindingDB, allows PubChem to provide links to patent documents that mention chemicals. Currently, PubChem offers links between about 6.7 million patent documents and more than 20 million unique chemical structures, with over 137 million compound-patent links, covering primarily U.S. patents with some from European, and World Intellectual Property Organization, and Japanese patent documents. This presentation will provide an overview of the patent information in PubChem as well as the best practice for using it.
Presented at the Fall 2020 American Chemical Society (ACS) National Meeting (Virtual) on August 20, 2020.
Sunghwan Kim, Jian Zhang, Paul Thiessen, Asta Gindulyte, Pertti J. Hakkinen & Evan Bolton
National Library of Medicine, National Institutes of Health, Rockville, Maryland, United States
==== Abstract ====
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a public chemical information resource at the U.S. National Institutes of Health. It collects chemical information from 700+ data sources and disseminates the collected data to the public free of charge. Arguably, PubChem contains the largest amount of chemical information available in the public domain, with more than 250 million depositor-provided substance descriptions, 100 million unique chemical structures, and 265 million bioactivity outcomes from one million assays covering around twenty thousand unique protein target sequences.
Included in the many types of content in PubChem is toxicological information about chemicals, e.g., human and animal toxicity, ecotoxicity, exposure limits, exposure symptoms, and antidote & emergency treatment. Notably, a substantial amount of toxicological information from resources formerly offered by the TOXicology data NETwork (TOXNET) is now integrated into PubChem, e.g., the Hazardous Substances Data Bank (HSDB), LactMed, and LiverTox. In addition, PubChem contains a large amount of bioactivity and toxicity screening data that can be used to build toxicity prediction models based on statistical and machine-learning approaches. This presentation provides an overview of PubChem’s toxicological information as well as tools and services that help users exploit this information. It also describes how open data in PubChem can be used to develop prediction models for chemical toxicity.
PubChem for chemical information literacy trainingSunghwan Kim
Presented at the American Chemical Society Fall 2021 National Meeting (August 23, 2021; virtual).
==== Abstracts ====
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a public chemical information resource that collects chemical information from 780+ data sources. It is visited by millions of users every month and many of them are young students at academic undergraduate or graduate students at academic institutions. While PubChem has a great potential as an online resource for chemical education, it also has important issues that are not familiar to students and educators, including data accuracy, data provenance, structure standardization, terminologies, etc. In this presentation, various aspects of PubChem as a chemical education resource will be discussed, with a special emphasis on how to help students develop chemical information literacy skills.
A Wellcome Trust-funded project to extend the Guide to PHARMACOLOGY (www.guidetopharmacology.org) to include data on key immunological data types and associate these to drugs and drug targets. Presented at the ELIXIR-UK All-Hand Meeting, Edinburgh, Nov 2017.
IUPHAR/BPS Guide to Pharmacology: concise mapping of chemistry, data, and tar...Chris Southan
The document summarizes the IUPHAR/BPS Guide to Pharmacology (GtoPdb) database, which maps relationships between chemistry, data, and protein targets. It has evolved from earlier databases to now include over 1500 human protein targets linked to ligand data. Challenges include resolving relationships across different target hierarchies and filling data gaps. Future plans include expanding the database and linking it to immunopharmacology data through a new Guide to Immunopharmacology portal.
Presented at the Bioinformatics Seminar at the University of Arkansas, Little Rock on November 5, 2021.
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a popular chemical database at the National Library of Medicine, National Institutes of Health. Arguably, PubChem is one of the largest chemical information resources in the public domain, with 111 million unique chemical structures, 1.39 million biological assays, and 292 million biological activity result outcomes. It also contains significant amounts of scientific research data and the inter-relationships between chemicals, proteins, genes, scientific literature, patents, and more. PubChem is a key resource for big data in chemistry and has been used in many studies for developing bioactivity and toxicity prediction models, discovering polypharmacologic (multi-target) ligands, and identifying new macromolecule targets of compounds (for drug-repurposing or off-target side effect prediction). It has also been used for cheminformatics education as well as chemical health and safety training. This presentation provides a high-level overview of PubChem’s data, tools, and services.
Cheminformatics Education with PubChemSunghwan Kim
Presented on November 13, 2020, as part of the "Integrating Bioinformatics Education Series" (https://ualr.edu/bioinformatics/education-series/), organized by the Arkansas IDeA Network of Biomedical Research Excellence (Arkansas INBRE) (https://inbre.uams.edu/).
Sunghwan Kim
National Library of Medicine, National Institutes of Health, Rockville, Maryland, United States
The CompTox Chemicals Dashboard is an open chemistry resource and web-based application containing data for ~900,000 substances. While it pales in comparison to other online resources containing many tens of millions of chemical substances it represents two decades of effort to aggregate and curate chemical data to deliver access to physicochemical properties and environmental fate and transport data, in vitro and in vivo toxicity data and consumer product data for over 500,000 products. Associated with the chemical substance collections are specific lists based on chemical classes (e.g. polychlorinated biphenyls (PCBs)), usage categories (e.g. flame retardants, pesticides), specific environmental classes of interest (e.g. disinfectant by-products) and regulatory lists (e.g. TSCA, Toxics release inventory data). The underlying database expands daily as a result of the efforts of curators who continue to harvest data from peer-reviewed publications, regulatory documents and relevant online databases. The cheminformatics architecture allows for mapping between parent chemicals and related substances including metabolites and environmental degradants. The dashboard has become a valuable resource in the identification of chemical substances in the environment.
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are of increasing interest in chemical forensics for the identification of emerging contaminants and chemical signatures of interest. Our research using HRMS for non-targeted and suspect screening analyses utilizes Advanced Search capabilities including mass and formula-based searches. A specific type of data mapping in the underpinning database, using “MS-Ready” structures, has proven to be a valuable approach for structure identification that links structures that can be identified via HRMS with related substances in the form of salts, and other multi-component mixtures that are available in commerce. These MS-Ready structures have been used as an input set for computational MS-fragmentation to provide a database against which to search experimental data for spectral matching. This presentation will provide an overview of how CompTox Chemicals Dashboard, the underlying data, and how it supports structure identification and non-targeted analysis in chemical forensics. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.
Generating Biomedical Hypotheses Using Semantic Web TechnologiesMichel Dumontier
With its focus on investigating the nature and basis for the sustained existence of living systems, modern biology has always been a fertile, if not challenging, domain for formal knowledge representation and automated reasoning. Over the past 15 years, hundreds of projects have developed or leveraged ontologies for entity recognition and relation extraction, semantic annotation, data integration, query answering, consistency checking, association mining and other forms of knowledge discovery. In this talk, I will discuss our efforts to build a rich foundational network of ontology-annotated linked data, discover significant biological associations across these data using a set of partially overlapping ontologies, and identify new avenues for drug discovery by applying measures of semantic similarity over phenotypic descriptions. As the portfolio of Semantic Web technologies continue to mature in terms of functionality, scalability and an understanding of how to maximize their value, increasing numbers of biomedical researchers will be strategically poised to pursue increasingly sophisticated KR projects aimed at improving our overall understanding of the capability and behavior of biological systems.
PubChem: a public chemical information resource for big data chemistrySunghwan Kim
PubChem is a public resource containing over 100 million unique chemical structures and 268 million bioactivity outcomes from assays. It aggregates data from over 750 sources and contains extensive information on chemical properties, biological activities, and related literature and patents. Users can search and access this data interactively through web interfaces or programmatically. As an example, bioactivity data from PubChem was used to develop predictive models for small molecule interactions with the retinoid X receptor alpha protein, achieving AUC scores over 0.7.
PubChem and its application for cheminformatics educationSunghwan Kim
PubChem is a public chemical database maintained by the U.S. National Institutes of Health containing information on small molecules, lipids, nucleic acids, and other chemical substances. It receives over 5 million unique users per month, many of whom are students. PubChem has potential as an educational resource given its popularity, sustainability, and zero cost to students. PubChem collaborates with academic partners to develop resources like an online cheminformatics course and chemical safety summaries.
The document provides an overview and status report of the Core Guide to PHARMACOLOGY (GtoPdb) database. It discusses recent publications from the team, compliance with new GDPR privacy regulations, website access statistics showing increased usage, new website features, and priorities for further development such as expanding disease and content coverage.
The document provides an overview and progress report on database activities from April 2018 - March 2019. Key points include:
- Publications in peer-reviewed journals on the database and new immunopharmacology guide.
- Engagement through conferences, social media, and interactions with users seeking to improve the database.
- Ongoing development of the database interface and content, including expansion to new therapeutic areas.
- Statistics on usage, file downloads, and web service calls that show increasing interaction over time.
Antimalarial drug dscovery data disclosureChris Southan
Dr. Christopher Southan presented on comparing open and closed antimalarial drug discovery approaches. He examined 32 recent antimalarial compounds and found major data connectivity issues, such as leads not being findable by code name or having publications not citing patents. In contrast, the open source Sydney University Malaria Project surfaces structures and shares data in near real-time through open lab books and crowdsourcing. Dr. Southan analyzed their collection of 411 molecules and found 250 matched in PubChem quickly. Open approaches can accelerate discovery by years by openly sharing data.
Guide to PHARMACOLOGY: a web-Based Compendium for Research and EducationChris Southan
This document summarizes a presentation about the IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb) database. The following key points are made:
- GtoPdb is an online resource containing information on over 8,000 ligands and their interactions with around 1,500 human protein targets. It has been used widely by researchers and educators since 2009.
- The database contains detailed information on drug targets like GPCRs, ion channels, and enzymes. It also provides data on ligands, drugs, interactions between ligands and targets, and related clinical information.
- Users can browse targets and ligands or search the database. Detailed target pages contain pharmacology data, mechanisms, and links
These slides will be presented at the Pharmacology 2017 meeting in London during the following session:
Abstract Number: OB073
Abstract Title: Capturing new BIA 10-2474 molecular data in the IUPHAR/BPS Guide to PHARMACOLOGY
Date: Wednesday, December 13, 2017, 11:30 AM
Oral Session: Oral Communications: Mixed Tracks
IUPHAR/BPS Guide to PHARMACOLOGY in 2017: new features and updatesGuide to PHARMACOLOGY
This document summarizes updates to the IUPHAR/BPS Guide to PHARMACOLOGY database. It provides expert curated data on human drug targets and ligands. Recent additions include new target families, ligands, and links to immunopharmacology data. New features include download options, search tools, and organization of ligand families. The database is maintained by an international team and network of scientists and provides a resource for pharmacology education and research.
PubChem as a resource for chemical information trainingSunghwan Kim
Presented at the 257th American Chemical Society (ACS) National Meeting in Orlando, FL (March 31, 2019). [CINF 13]
==== Abstract ====
Libraries at many large academic institutions provide chemical information training programs for students. However, these programs are based on commercial chemical information resources, which come with non-trivial subscription fees. These fees are often too expensive for small organizations, including many primarily undergraduate institutions (PUIs) and community colleges (CCs). It leads to disparity in access to chemical information as well as learning opportunities among students. This issue may be addressed at least in part by developing free online training programs based on public chemical databases, such as PubChem (https://pubchem.ncbi.nlm.nih.gov). PubChem has a great potential as an online resource for chemical education, but it also has important issues that students and teachers should keep in mind, such as data accuracy, data provenance, structure standardization, terminologies and so on. In this presentation, we will discuss various aspects of PubChem as a resource for chemical information training.
Curatorial data wrangling for the Guide to PHARMACOLGY Chris Southan
This document discusses the challenges and experiences of curating quantitative target-ligand interaction data for the Guide to PHARMACOLOGY database from the primary literature. Standardizing entities such as proteins, ligands, and measurement units across different data sources can be difficult due to inconsistencies in naming, identifiers, and reporting of values. Initiatives by publishers to have authors mark up key entities in manuscripts may help curators but will not solve all compatibility issues. The curation process also requires judgment calls on issues like resolving conflicts between data sources and determining whether reported data can be structurally defined.
Searching for patent information in PubChem Sunghwan Kim
Presented at the 256th American Chemical Society (ACS) National Meeting in Boston, MA (August 19, 2018).
==== Abstract ====
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a public chemical information resource, containing more than 242 million chemical substance descriptions, 94 million unique compounds, and 234 million bioactivities determined from 1.25 million assay experiments. Importantly, data contribution from multiple sources, including IBM, SureChEMBL, ScripDB, NextMove, and BindingDB, allows PubChem to provide links to patent documents that mention chemicals. Currently, PubChem offers links between about 6.7 million patent documents and more than 20 million unique chemical structures, with over 137 million compound-patent links, covering primarily U.S. patents with some from European, and World Intellectual Property Organization, and Japanese patent documents. This presentation will provide an overview of the patent information in PubChem as well as the best practice for using it.
Presented at the Fall 2020 American Chemical Society (ACS) National Meeting (Virtual) on August 20, 2020.
Sunghwan Kim, Jian Zhang, Paul Thiessen, Asta Gindulyte, Pertti J. Hakkinen & Evan Bolton
National Library of Medicine, National Institutes of Health, Rockville, Maryland, United States
==== Abstract ====
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a public chemical information resource at the U.S. National Institutes of Health. It collects chemical information from 700+ data sources and disseminates the collected data to the public free of charge. Arguably, PubChem contains the largest amount of chemical information available in the public domain, with more than 250 million depositor-provided substance descriptions, 100 million unique chemical structures, and 265 million bioactivity outcomes from one million assays covering around twenty thousand unique protein target sequences.
Included in the many types of content in PubChem is toxicological information about chemicals, e.g., human and animal toxicity, ecotoxicity, exposure limits, exposure symptoms, and antidote & emergency treatment. Notably, a substantial amount of toxicological information from resources formerly offered by the TOXicology data NETwork (TOXNET) is now integrated into PubChem, e.g., the Hazardous Substances Data Bank (HSDB), LactMed, and LiverTox. In addition, PubChem contains a large amount of bioactivity and toxicity screening data that can be used to build toxicity prediction models based on statistical and machine-learning approaches. This presentation provides an overview of PubChem’s toxicological information as well as tools and services that help users exploit this information. It also describes how open data in PubChem can be used to develop prediction models for chemical toxicity.
PubChem for chemical information literacy trainingSunghwan Kim
Presented at the American Chemical Society Fall 2021 National Meeting (August 23, 2021; virtual).
==== Abstracts ====
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a public chemical information resource that collects chemical information from 780+ data sources. It is visited by millions of users every month and many of them are young students at academic undergraduate or graduate students at academic institutions. While PubChem has a great potential as an online resource for chemical education, it also has important issues that are not familiar to students and educators, including data accuracy, data provenance, structure standardization, terminologies, etc. In this presentation, various aspects of PubChem as a chemical education resource will be discussed, with a special emphasis on how to help students develop chemical information literacy skills.
A Wellcome Trust-funded project to extend the Guide to PHARMACOLOGY (www.guidetopharmacology.org) to include data on key immunological data types and associate these to drugs and drug targets. Presented at the ELIXIR-UK All-Hand Meeting, Edinburgh, Nov 2017.
IUPHAR/BPS Guide to Pharmacology: concise mapping of chemistry, data, and tar...Chris Southan
The document summarizes the IUPHAR/BPS Guide to Pharmacology (GtoPdb) database, which maps relationships between chemistry, data, and protein targets. It has evolved from earlier databases to now include over 1500 human protein targets linked to ligand data. Challenges include resolving relationships across different target hierarchies and filling data gaps. Future plans include expanding the database and linking it to immunopharmacology data through a new Guide to Immunopharmacology portal.
Presented at the Bioinformatics Seminar at the University of Arkansas, Little Rock on November 5, 2021.
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a popular chemical database at the National Library of Medicine, National Institutes of Health. Arguably, PubChem is one of the largest chemical information resources in the public domain, with 111 million unique chemical structures, 1.39 million biological assays, and 292 million biological activity result outcomes. It also contains significant amounts of scientific research data and the inter-relationships between chemicals, proteins, genes, scientific literature, patents, and more. PubChem is a key resource for big data in chemistry and has been used in many studies for developing bioactivity and toxicity prediction models, discovering polypharmacologic (multi-target) ligands, and identifying new macromolecule targets of compounds (for drug-repurposing or off-target side effect prediction). It has also been used for cheminformatics education as well as chemical health and safety training. This presentation provides a high-level overview of PubChem’s data, tools, and services.
Cheminformatics Education with PubChemSunghwan Kim
Presented on November 13, 2020, as part of the "Integrating Bioinformatics Education Series" (https://ualr.edu/bioinformatics/education-series/), organized by the Arkansas IDeA Network of Biomedical Research Excellence (Arkansas INBRE) (https://inbre.uams.edu/).
Sunghwan Kim
National Library of Medicine, National Institutes of Health, Rockville, Maryland, United States
The CompTox Chemicals Dashboard is an open chemistry resource and web-based application containing data for ~900,000 substances. While it pales in comparison to other online resources containing many tens of millions of chemical substances it represents two decades of effort to aggregate and curate chemical data to deliver access to physicochemical properties and environmental fate and transport data, in vitro and in vivo toxicity data and consumer product data for over 500,000 products. Associated with the chemical substance collections are specific lists based on chemical classes (e.g. polychlorinated biphenyls (PCBs)), usage categories (e.g. flame retardants, pesticides), specific environmental classes of interest (e.g. disinfectant by-products) and regulatory lists (e.g. TSCA, Toxics release inventory data). The underlying database expands daily as a result of the efforts of curators who continue to harvest data from peer-reviewed publications, regulatory documents and relevant online databases. The cheminformatics architecture allows for mapping between parent chemicals and related substances including metabolites and environmental degradants. The dashboard has become a valuable resource in the identification of chemical substances in the environment.
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are of increasing interest in chemical forensics for the identification of emerging contaminants and chemical signatures of interest. Our research using HRMS for non-targeted and suspect screening analyses utilizes Advanced Search capabilities including mass and formula-based searches. A specific type of data mapping in the underpinning database, using “MS-Ready” structures, has proven to be a valuable approach for structure identification that links structures that can be identified via HRMS with related substances in the form of salts, and other multi-component mixtures that are available in commerce. These MS-Ready structures have been used as an input set for computational MS-fragmentation to provide a database against which to search experimental data for spectral matching. This presentation will provide an overview of how CompTox Chemicals Dashboard, the underlying data, and how it supports structure identification and non-targeted analysis in chemical forensics. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.
Generating Biomedical Hypotheses Using Semantic Web TechnologiesMichel Dumontier
With its focus on investigating the nature and basis for the sustained existence of living systems, modern biology has always been a fertile, if not challenging, domain for formal knowledge representation and automated reasoning. Over the past 15 years, hundreds of projects have developed or leveraged ontologies for entity recognition and relation extraction, semantic annotation, data integration, query answering, consistency checking, association mining and other forms of knowledge discovery. In this talk, I will discuss our efforts to build a rich foundational network of ontology-annotated linked data, discover significant biological associations across these data using a set of partially overlapping ontologies, and identify new avenues for drug discovery by applying measures of semantic similarity over phenotypic descriptions. As the portfolio of Semantic Web technologies continue to mature in terms of functionality, scalability and an understanding of how to maximize their value, increasing numbers of biomedical researchers will be strategically poised to pursue increasingly sophisticated KR projects aimed at improving our overall understanding of the capability and behavior of biological systems.
PubChem: a public chemical information resource for big data chemistrySunghwan Kim
PubChem is a public resource containing over 100 million unique chemical structures and 268 million bioactivity outcomes from assays. It aggregates data from over 750 sources and contains extensive information on chemical properties, biological activities, and related literature and patents. Users can search and access this data interactively through web interfaces or programmatically. As an example, bioactivity data from PubChem was used to develop predictive models for small molecule interactions with the retinoid X receptor alpha protein, achieving AUC scores over 0.7.
PubChem and its application for cheminformatics educationSunghwan Kim
PubChem is a public chemical database maintained by the U.S. National Institutes of Health containing information on small molecules, lipids, nucleic acids, and other chemical substances. It receives over 5 million unique users per month, many of whom are students. PubChem has potential as an educational resource given its popularity, sustainability, and zero cost to students. PubChem collaborates with academic partners to develop resources like an online cheminformatics course and chemical safety summaries.
The document provides an overview and status report of the Core Guide to PHARMACOLOGY (GtoPdb) database. It discusses recent publications from the team, compliance with new GDPR privacy regulations, website access statistics showing increased usage, new website features, and priorities for further development such as expanding disease and content coverage.
The document provides an overview and progress report on database activities from April 2018 - March 2019. Key points include:
- Publications in peer-reviewed journals on the database and new immunopharmacology guide.
- Engagement through conferences, social media, and interactions with users seeking to improve the database.
- Ongoing development of the database interface and content, including expansion to new therapeutic areas.
- Statistics on usage, file downloads, and web service calls that show increasing interaction over time.
PubChem: A Public Chemical Information Resource for Big Data ChemistrySunghwan Kim
A web-seminar jointly organized by KWSE (Korean Woman Scientists & Engineers) and KWiSE (Korean-American Women in Science and Engineering). Presented on July 27, 2021.
An introduction to the Linked Structured Product Label (LinkedSPL) resource for the W3C Health Care and Life Sciences Linking Open Drug Data task force. LinkeSPLs (purl.org/net/nlprepository/linkedSPLs) publishes selected sections of FDA-approved drug package inserts from DailyMed for use by NLP and Semantic Web researchers. Currently, only data from the product labels of prescription drugs is provided. This site's SPL data is updated weekly and all SPLs retain DailyMed versioning data so that researchers can record the provenance of the text and sections they work with. LinkedSPLs is provided as a service as part of the Drug Interaction Knowledge Base (DIKB) project
The IUPHAR/MMV Guide to Malaria Pharmacology Chris Southan
This document summarizes the creation of the IUPHAR/MMV Guide to Malaria Pharmacology (GtoMPdb) database by the authors. It captures antimalarial compounds, targets, and their relationships by curating data from publications. The database has adapted the Guide to Pharmacology data model and has begun capturing data on 28 antimalarial ligands. Future plans include expanding the curation, developing an online portal, and submitting data to PubChem to link compounds to publications and make the data more accessible.
Global Synthetic Biology Market is expected to Grow more than US$ 38 Billion ...Amy Williams
The document provides an overview of the global synthetic biology market research report published by Market Research Engine. The global synthetic biology market is expected to grow to more than $38 billion by 2020, driven by factors such as government and private funding support, increasing research, and declining DNA sequencing costs. However, issues regarding biosecurity, ethics, and regulations pose restraints. The market is segmented based on products, technologies, and applications. Key players in the industry are also profiled. The report aims to provide analysis of market trends, opportunities, and competitive landscape.
OECD Green Talks LIVE: Global eChemPortal to information on chemical substancesOECD Environment
To meet public health and environmental objectives for the safe use of chemicals under proper conditions, increasing understanding of chemical hazards and risks is key. By increasing access to data and information, governments and industry can work to reduce – or even eliminate – adverse health effects from exposures to chemicals.
The OECD eChemPortal provides direct access to critical scientific information on chemical substances of regulatory relevance with over 800,000 substance records from 37 databases. The portal allows countries and companies to share work, ensure resource efficiencies, and, subsequently, reduce animal testing.
Gerlinde Knetch (Germany), Jake Sanderson (Canada) and Violaine Verougstraete from Eurometaux shared their experience in improving chemical safety and how the eChemPortal supported this process.
The GtoImmuPdb Portal aims to provide a unique access point for immunological data within the Guide to Pharmacology (GtoPdb) database. It will contain expert-curated immunological information on protein targets and ligands tagged as immunologically relevant. The portal will assist in identifying potential drug targets and experimental molecules for testing, and will link targets and ligands to immunological processes, cell types, and related diseases. A beta version of GtoImmuPdb is scheduled for release in Spring 2017.
The IUPHAR/BPS Guide to PHARAMCOLOGY in 2018: new features and updatesGuide to PHARMACOLOGY
2018 update poster for the IUPHAR/BPS Guide to PHARMACOLOGY. Giving details of new features and updates. To be presented at Pharmacology Futures, Edinburgh, May 2018; ELIXIR-All Hands, Berlin, June 2018 and World Congress of Pharmacology, Kyoto, Japan, July 2018
Exploiting PubChem for drug discovery based on natural productsSunghwan Kim
Presented at the 256th American Chemical Society (ACS) National Meeting in Boston, MA (August 19, 2018).
==== Abstract ====
PubChem is one of the largest sources of publicly available chemical information, with more than 242.3 million depositor-provided substance descriptions, 94.7 million unique chemical structures, and 234.8 million bioactivity outcomes from 1.25 million assays covering around ten thousand unique protein target sequences. This presentation provides an overview of PubChem’s data, tools, and services useful for drug discovery based on natural products.
PubChem contains a large amount of bioactivity data, most of which are generated from high-throughput screening (HTS). However, these data also include a substantial amount of bioactivity information extracted from scientific articles published in journals in the chemical biology, medicinal chemistry, and natural product domains, thanks to data contribution by other databases like ChEMBL, Guide to Pharmacology, BindingDB, and PDBbind. In addition, through data integration with other databases such as DrugBank, HSDB, and HMDB, PubChem contains a wide range of annotations useful for drug discovery, including pharmacology, toxicology, drug target, metabolism, chemical vendors, scientific articles, patents, and many others.
PubChem supports various types of chemical structure searches, including identify search, 2-D and 3-D similarity searches, substructure and superstructure searches, molecular formula search. It also provides multiple programmatic access routes, including E-Utilities, Power User Gateway (PUG), PUG-SOAP, PUG-REST, and PUG-View, allowing one to build an automated workflow that takes advantage of information contained in PubChem. In addition, through PubChemRDF, users can integrate PubChem’s data into their own in-house data on a local computing machine.
5HT2A modulators in GtoPdb and other databsesChris Southan
This document discusses various databases that contain information on 5HT2A modulators, including GtoPdb, ChEMBL, DrugBank, GPCRdb, and others. It provides an overview of the types of data each database contains, such as binding affinities, mechanistic classifications, and chemical structures. The document also demonstrates how to use mapping tools to compare data across different databases and identify discrepancies. It highlights challenges in reconciling discordant annotations between sources and the need for direct experimental validation.
Royal society of chemistry developments to support open drug discoveryKen Karapetyan
In recent years the Royal Society of Chemistry has become known for our development of freely accessible data platforms including ChemSpider, ChemSpider Reactions and our new chemistry data repository. In order to support drug discovery RSC participates in a number of projects including the Open PHACTS semantic web project, the PharmaSea natural products discovery project and the Open Source Drug Discovery project in collaboration with a team in India. Our most recent developments include extending our efforts to support neglected diseases by the provision of high quality datasets resulting from our curation efforts to support modeling, the delivery of enhanced application programming interfaces to allow open source drug discovery teams to both source and deposit data from our chemistry databases and the provision of a micropublishing platform to report on various aspects of work supporting neglected disease drug discovery. This presentation will review our existing efforts and our plans for extended development.
In recent years the Royal Society of Chemistry has become known for our development of freely accessible data platforms including ChemSpider, ChemSpider Reactions and our new chemistry data repository. In order to support drug discovery RSC participates in a number of projects including the Open PHACTS semantic web project, the PharmaSea natural products discovery project and the Open Source Drug Discovery project in collaboration with a team in India. Our most recent developments include extending our efforts to support neglected diseases by the provision of high quality datasets resulting from our curation efforts to support modeling, the delivery of enhanced application programming interfaces to allow open source drug discovery teams to both source and deposit data from our chemistry databases and the provision of a micropublishing platform to report on various aspects of work supporting neglected disease drug discovery. This presentation will review our existing efforts and our plans for extended development.
Prototype germplasm data portal (2006)Dag Endresen
Prototype Germplasm Data Portal, predecessor for the ALIS-Global of the GIGA project. Presentation for the Nordic Gene Bank board meeting on 4th December 2006.
UDM (Unified Data Model) - Enabling Exchange of Comprehensive Reaction Inform...Frederik van den Broek
Slides from my talk at the ACS CINF Symposium on Chemical Nomenclature & Representation on 26 August 2019 in San Diego.
Abstract:
The first edition of the Beilstein Handbook of Organic Chemistry was published nearly 140 years ago. Electronic laboratory notebooks have been in use in chemistry for almost 20 years. And the life science industry still doesn't have a well-defined way of capturing and exchanging information about chemical reactions and relies on imprecise or vendor-specific data formats. Without a common language and structure to describe experiments, data integration is unnecessarily expensive and a significant part of published data has not been readily available for processing or analysis.
The Unified Data Model (UDM) project team aims to improve the situation. UDM is a collective effort of vendors and life science organizations to create an open, extendable and freely available reference model and data format for exchange of experimental information about compound synthesis and testing. Run under the umbrella of the Pistoia Alliance, the project team has published two releases of the UDM data format and it is expected that the model will continue to be improved as demand stipulates working with the Pistoia FAIR data implementation by industry community.
Capturing BIA-10-2474 and related FAAH inhibitor dataChris Southan
The document discusses the IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb) database's response to data gaps created by the phase 1 clinical trial disaster of the FAAH inhibitor BIA-10-2474. GtoPdb added an entry for BIA-10-2474 using limited available data from patents. It also expanded existing entries for related targets like FAAH and utilized blog posts to provide additional context and comparator data for modeling. The event highlighted issues around transparency and data sharing that GtoPdb aims to address through ongoing curation efforts.
Integrating Custom Gene Panels for Variant InnovationsGolden Helix
The ability to use predefined sets of genes to isolate clinically relevant variants is an important aspect of clinical variant analysis. Golden Helix’s VarSeq product houses the tools, namely our Gene Panel Manager and Match Genes set of algorithms, that enable users to create and manage reusable gene lists within projects, incorporate the ACMG Secondary Findings v3.0 gene list for the reporting of incidental findings, make use of well validated publicly available gene panels with published evidence of disease associations and create gene panels based on specific disorders or phenotypes of interest. These capabilities were covered in a webcast “Creating and Managing Reusable Gene Lists with VSClinical” by Dr. Nathan Fortier our Director of Research. In the upcoming webcast, we will dive deeper into these capabilities, implementing our gene panel tools from the user’s perspective by focusing on two clinical use cases where custom virtual gene panels are particularly useful.
For the standard use case, users typically incorporate targeted gene panel-based data to hone in on any number of variants that fall within the scope of their targeted genes list. More recently, we have observed from the field application perspective, a trend among Golden Helix customers towards importing WES and WGS data followed by creating unique per sample gene panels. Therefore, the purpose of this webcast will be to showcase how simple it can be to construct and manage both styles of virtual gene panels within VarSeq in ways that will best suit the specific needs of your lab. We will share with you several clever shortcuts for users to implement filters on gene panels, to design and manage gene panels and calculate the coverage over these regions. We will also delve into the details of incorporating gene panel data into variant evaluation in VSClinical and bringing the relevant information into a final clinical report. Viewers tuning in to this webcast will be exposed to all the tools available in VarSeq for creating and managing their potential gene panel workflows.
Hydroponics Global Market to Reach $25 Billion by 2029 | Industry Experts, IncIndustry Experts
Industry Experts, Inc. published the latest market research report on Hydroponics. As per the new report entitled “Global Hydroponics Market – System Types, Input Types and Crop Types”, Asia-Pacific region is poised to exhibit the fastest growth during 2023-2029 with a CAGR of 12.9% closely followed by Europe with 12.6%. Europe leads the global Hydroponics market with an estimated US$4.9 billion in 2023.
CanDIG Presentation at 5th GA4GH Plenary Day 2Jonathan Dursi
The Canadian Distributed Infrastructure for Genomics (CanDIG) project aims to enable distributed analysis of genomic data across Canada while keeping data locally controlled. Over the next 4 years, CanDIG will build infrastructure to support interactive and batch analyses of national cohorts through APIs. Initial work involves supporting pediatric cancer and clinical trial projects, and improving performance, authentication, and standards. Future goals include expanding available analyses, integrating with other systems, and building interoperability.
Similar to Guide to Malaria Pharmacology, GEMM 2019 (20)
Dr. Simon D. Harding of the University of Edinburgh created a knowledge-base that connects immunology and pharmacology. The knowledge-base links immunological targets and ligands to cell types and diseases. It is part of the IUPHAR/BPS Guide to Pharmacology, an open database of drug targets and ligands including approved drugs. A new search tool allows searching of pharmacological information. Dr. Harding also aims to curate data on antimalarial compounds and their molecular targets in Plasmodium through the IUPHAR/MMV Guide to Malaria Pharmacology.
The document summarizes recent updates to the IUPHAR/BPS Guide to PHARMACOLOGY database. It describes new features including expanded target coverage with over 1,700 drug targets and 1,100 related proteins. A new Pharmacology Search Tool allows users to upload protein lists and find associated ligands. The database also now connects immunopharmacology by associating targets with immune processes, cell types, and diseases. Additionally, the guide describes collaborations to include antimalarial compound data and develop an IUPHAR/MMV Guide to Malaria Pharmacology.
Poster on GtoImmuPdb presented at European Congress of Immunology (Amsterdam, Sep 2018). Overview of the main data types and features included in this extension to the IUPHAR/BPS Guide to PHARMACOLOGY
The IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb) is an open, expert-driven database that contains information on over 1,700 pharmacological targets and the substances that act on them. The database provides overviews and detailed information on targets that is manually curated from literature and reviewed by experts. It aims to cover human drug targets and potential future therapeutic targets. New features of the database include search tools to find targets and ligands, information on diseases associated with targets and ligands, organization of ligand families, and comparison of ligand activity across species. The database content is available to download in various formats and its interoperability has been increased through developing an RDF version and submitting data to other sources
The document provides a status report on the Guide to Immunopharmacology database (GtoImmuPdb). It discusses developments including the addition of disease data, graphical browsing of cell type data, and process data. The database is in beta version 3 and undergoing user testing. Over 500 targets and 1,000 ligands have been curated from the literature. On the curation side, efforts are focused on expanding the literature collection and annotating new targets and ligands. The database is preparing for its official launch in October 2018.
Updated poster following beta v3 release. In preparation for Pharmacology Futures, Edinburgh Immunology Symposium and Word Congress of Pharmacology (Kyoto)
This comprehensive slide deck is provided for use by those who are teaching and presenting on the IUPHAR/BPS Guide to PHARMACOLOGY. Includes:
- Overview of NC-IUPHAR
- Background to GtoPdb
- Screenshots of the website and search tools
- Recent content expansions
- Other features and initiatives including the Guide to IMMUNOPHARMACOLOGY
This slide set updates the previous set from 2014/15 available at https://www.slideshare.net/GuidetoPHARM/iupharbps-guide-to-pharmacology-generic-slideset
Navigating links between structures and papers:
PubMed-to-PubChem connectivity between the IUPHAR/BPS Guide to PHARMACOLOGY and British Journal of Pharmacology
A poster presented at Pharmacology 2017, London, December 2017
A general poster about the IUPHAR/BPS Guide to PHARMACOLOGY, updated for 2017. This works well used as a handout or pinned on departmental noticeboards.
IUPHAR Guide to IMMUNOPHARMACOLOGY poster. Presented at the BSI Congress 2017, Brighton, UK (6th December 2017) and at Pharmacology 2017, London, UK (13th December 2017.
This document describes updates to the Guide to PHARMACOLOGY (GtoPdb) database in 2017, including new features such as:
1) Organization of drug targets into families and subclasses for easier browsing, and organization of ligands into related families and groups.
2) Ability to visualize ligand binding affinities across species through activity graphs.
3) SynPHARM database for finding ligand binding sequences that can be engineered into synthetic proteins.
4) Expanded content with over 1,700 drug targets, 9,000 ligands, and options to search or download data in various formats.
(First slide is recording of webinar). IUPHAR Web Resources, Simplifying Complexity for Medicine and Education. WDS Webinar#11 held on 28th February 2017.
IUPHAR (International Union of Basic and Clinical Pharmacology) has developed and is developing a series of web-based services for the Pharmacological Sciences, for education, and for drug discovery. These services enable the simplification and dissemination of highly complex datasets, via expert committees linked to ontologically-correct databases (e.g., the drug and receptor sites expressed by the human genome). This has also allowed IUPHAR—in connection with the main national pharmacological societies, particularly the British Pharmacological Society—to raise funds for curators and meetings. This simple model is open-ended and is being expanded to, for example, immunological targets and experimental protocols, and to educational projects.
Speakers: Michael Spedding, Adam Pawson, Steve Alexander, Joanna Sharman, Simon Harding, Jamie Davies, John Szarek and Lynn LeCount
Poster titled "The imperative of small, high quality data for underpinning big data: the IUPHAR/BPS Guide to PHARMACOLOGY". Presented by Dr. Christopher Southan, at the British Society of Pharmacology, Institute for Translational Medicine & Therapeutics (ITMAT) Meeting, Edinburgh, March 2017, ‘Big Data & the Development of New Medicines’.
Flash poster presentation slide of IUPHAR Guide to PHARMACOLOGY. As presented by Dr. Simon Harding at BPS Pharmacology 2016 @BritPharmSoc @GuidetoPHARM
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
8.Isolation of pure cultures and preservation of cultures.pdf
Guide to Malaria Pharmacology, GEMM 2019
1. Introducing the IUPHAR/MMV Guide to MALARIA PHARMACOLOGY:
an expertly curated resource capturing antimalarial compounds and
their Plasmodium targets
Jane Armstrong
Wednesday 11th December 2019
Glasgow-Edinburgh Malaria Meeting
4. www.guidetomalariapharmacology.org
• Medicines for Malaria Venture (MMV)
funded project
• Aims:
• Extend the existing Guide to
PHARMACOLOGY database
(GtoPdb) with curated antimalarial
compounds and their Plasmodium
molecular targets
• Provide a new portal that is
optimized for the malaria research
community
Guide to MALARIA PHARMACOLOGY (GtoMPdb)
5. Data on human
drug targets and
potential targets
Recommended
experimental
ligands
Information on
approved drugs
Entry point into
pharmacological
literature
Sources of
further reading
Detailed
annotation for
important targets
Overviews of the
key properties of
target families
Target and
ligand
nomenclature
• The GtoPdb is an open, expert-driven database of pharmacological targets and the substances
that act on them: ~1,700 drug targets, ~9,400 ligands, including ~1,300 approved drugs
• Focus has been on the pharmacology of human non-infectious diseases
• Data are reviewed by an international network of >500 scientists in >100 subcommittees of the IUPHAR
Nomenclature Committee (NC-IUPHAR)
IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb)
7. • All data are manually curated from the primary literature with guidance from our committee of
scientific advisors
• Steady growth in the number of antimalarial ligands and Plasmodium targets
• Our most recent database release (2019.5) contains:
• 72 ligands tagged as in GtoMPdb
• 30 targets tagged as in GtoMPdb
• Our curated ligands include antimalarial leads, drugs in preclinical and clinical development and
approved medicines
Content Expansion
10. www.guidetomalariapharmacology.org
• Retains the general layout of the parent site but
includes a number of new features
• Distinct identity with logo, colour scheme and
header bar
• Dedicated domain
• Panels provide tailored routes for browsing
antimalarial data:
• Ligands
• Targets
• Parasite Lifecycle Stages
• Target Species
• The same categories can be accessed from the
menu bar
• Search (top right) is across GtoPdb and up-
weights antimalarial data
• New Help (under Resources) and About pages
have been provided
First public release (January 2019, beta v1) > Full public release and official launch (September 2019)
GtoMPdb Portal
13. cipargamin (ID: 9721)
www.guidetomalariapharmacology.org/GRAC/LigandDisplayForward?ligandId=9721
• A new whole organism assay
type has been introduced to
capture data from the whole cell
assays used routinely in
antimalarial drug discovery
• This information is contained in
the interactions table available
on both the Ligand page and
the Detailed Target Page
Whole Parasite Assay Data
GtoMPdb Ligand Page – new features
14. • Modelled on GtoPdb Detailed Target page
• Shows all curated information that our
database holds about the target
• Includes links to PlasmoDB, UniProt and
where available PDB
• New comments section for information of
particular relevance to malaria
PfPNP (ID: 3077)
www.guidetomalariapharmacology.org/GRAC/ObjectDisplayForward?objectId=3077
GtoMPdb Detailed Target Page
15. Homepage includes:
• Background section with a short
introduction to the Plasmodium
lifecycle and links to more
detailed resources
• Links to individual page for each
of the 5 top-level Plasmodium
lifecycle stages
Parasite Lifecycle Pages
17. Parasite Lifecycle Pages
Individual Lifecycle Stage page
Section for detailed
description of
lifecycle stage
Total number of
target and ligand
associations
Table providing
complete list of
target and ligand
interactions
18. Homepage includes:
• Background section with a
description of clinical and
experimental relevant species
• Links to individual pages for
species that we have data for in
GtoMPdb
• Resources section
Target Species Pages
20. Target Species Pages
Individual Species page
Section for detailed
species description
Total number of
target and ligand
associations
Pop-up window
provides strain
information
Table providing
complete list of
target and ligand
interactions
22. Next steps…
• Main development phase is now complete
• Funding in place to maintain GtoMPdb and expand content
• Curation of ligands will focus on compounds that are at an early stage of development
• User feedback will be used to prioritize content expansion and inform improvements to the portal
23. • Poster session at GEMM2019
• Nucleic Acids Research (Database Issue): article describing current status
The IUPHAR/BPS Guide to PHARMACOLOGY in 2020: extending immunopharmacology
content and introducing the IUPHAR/MMV Guide to MALARIA PHARMACOLOGY. Epub
ahead of print: doi:10.1093/nar/gkz951
• Help page (https://www.guidetomalariapharmacology.org/malaria/gtmpHelpPage.jsp)
• Blog posts (http://blog.guidetopharmacology.org/)
• Follow us on
• Download slides and posters
• Email (enquiries@guidetopharmacology.org)
@GuidetoPHARM
Find out more about GtoMPdb
24. Acknowledgements
• All past and current members of NC-IUPHAR
• IUPHAR/MMV Expert Advisory Committee
• Jeremy Burrows, Brice Campo, Javier Gamo, Stephen Ward (MMV)
• Michael Spedding (IUPHAR)
• Database team:
• Jamie Davies (Principal Investigator)
• Simon Harding and Joanna Sharman (Developers)
• Adam Pawson, Elena Faccenda and Christopher Southan (Curators)
• IUPHAR/MMV Guide to MALARIA PHARMACOLOGY and IUPHAR/BPS Guide to
PHARMACOLOGY funders:
Editor's Notes
----- Meeting Notes (10/12/19 20:38) -----
Thank you to the organizing committee for the opportunity to give this presentation introducing the IUPHAR/MMV GtoMPdb, a new web resource…
----- Meeting Notes (10/12/19 20:38) -----
I will start my talk with a brief introduction to the project, before moving on to tell you more about the data we have available and spend the remaining time exploring some of the key features of web resource. I will finish with a look at our future plans
----- Meeting Notes (10/12/19 20:38) -----
The Guide to MP is joint initiative between IUPHAR (the International Union of Basic and Clinical Pharmacology) and MMV Medicines for Malaria Venture