This is a presentation I gave via the BigBlueButton system to students and faculty at the University of Arkansas, Little Rock, regarding searching the internet for Chemistry.
The document discusses various methods for representing chemical structures computationally, including linear notations like SMILES strings, atom and connection tables, graphs, and fingerprints. It describes how these representations enable different types of structure searching and analysis, such as substructure searching, similarity searching, and cluster analysis of large datasets.
The Royal Society of Chemistry hosts one of the worlds’ richest collections of online chemistry data that is free-to-access for the community. ChemSpider presently hosts over 30 million unique chemical compounds together with associated data and accessible via a number of search techniques. With almost 50,000 unique users per day from around the world the site offers scientists the ability to investigate the world of small molecules via property searches, analytical data and predictive models. The challenges associated with providing a similar platform for “materials” are manifold but, if they could be addressed, would offer a valuable service to the materials community. This presentation will provide an overview of how ChemSpider was built, our efforts to expand the capabilities to a more encompassing data repository and some of the challenges faced to embrace the diverse world of materials informatics and online data access.
This is a presentation given to a group of students at the UNC Eshelman School of Pharmacy.
As chemists many of us want to resource information that is high quality, accurate and addresses our query. With the increasing proliferation of online chemistry resources it is very common for us to turn to these resources to source data. However, are resources such as Wikipedia, PubChem and the plethora of databases delivering information for metabolism, medicinal chemistry and synthetic chemistry trustworthy? Which of these resources, if any, should be treated as authorities? What is the most integrated approach to resource chemistry related data online? What approaches can be taken to validate the data that is available and how can individual scientists participate in helping to improve the content and quality of chemistry related data on the web.
Antony Williams is ChemSpiderman. He started the ChemSpider database (www.chemspider.com) as a hobby to deliver a free platform for the community to source chemistry related data. Within three years the system was acquired by the Royal Society of Chemistry and now serves up close to 25 million chemical structures linked to over 400 data sources across the internet and offers individual scientists the opportunity to host and share their data with the community and to participate in data curation and annotation. Tony will share his experiences of building this chemistry database with a focus on data validation and curation and sourcing high quality data. During the presentation he will discuss ways to check chemical structure representations before submission to public systems for searching and provide an overview of chemical identifiers such as SMILES strings and the International Chemical Identifier (InChI) allows for the interlinking of resources. Attendees can expect to leave the session with a deeper understanding of utilizing the internet to resource chemistry related data.
This is a workshop I gave on "Online Public Compound Databases" at the BCCE in Dallas, Texas on August 3rd 2010. It is an overview of online resources, InChI, linking data, online data quality, searching and ChemSpider.
The internet has revolutionized the sharing of data and information and in the domain of chemistry there are many resources available to help with our research. In recent years various online resources have been introduced that allow users to access information, properties and data associated with chemical entities. At a time when CAS has declared that they now have over 50 million unique chemical entities in the registry the number of chemical structures distributed across the internet also measures in the tens of millions. There are many tens of databases on the internet hosting chemical structures associated with data focused on the specific nature of the collection – metabolic pathways, spectral data collections, chemical vendor collections, biological assay data and crystal structures are examples. Unfortunately there has been no single way to search across all of these resources. ChemSpider has taken on the task of integrating the multiple online resources of information into a single database using the chemical structure as the primary key and retaining the link out and attribution to the original datasource. In this manner ChemSpider intends to become a structure-centric hub for the chemistry community. This talk will provide an overview of the ChemSpider platform, how it is being used as a crowdsourcing platform for community-based curation of the data and the future vision of ChemSpider as one of the pillars of the semantic web of chemistry.
ChemSpider is a free access website for chemists built with the intention of providing a structure centric community for chemists. It was developed to index available sources of chemical structures and their associated data into a single searchable repository and making it available to everybody, at no charge. While there are a large number of databases containing chemical compounds and data available online their inherent quality, accuracy and completeness is severely lacking. ChemSpider has provided a platform so that the chemistry community could contribute to improving the quality of data online and expanding the information to include data such as reaction syntheses, analytical data, experimental properties and linkages to other valuable resources. It has grown into a resource containing over 21 million unique chemical structures from over 200 data sources.
This presentation will provide an overview of ChemSpider and its value to chemists as a search tool, as a public repository of information and how it can become one of the primary foundations of internet-based chemistry. I will also discuss the vision for ChemSpider and some of the lofty goals we are setting for the system moving forward.
ChemSpider is a free access website for chemists built with the vision of providing a structure centric community for chemists. Vision is great…execution is better. ChemSpider is now one of the internet’s primary portals for chemistry offering access to over 23 million unique chemical structures from over 200 data sources and expanding daily. Even though there are tens if not hundreds of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. there has been no single way to search across them. Despite the fact that there are a large number of databases containing chemical compounds and data available online their inherent quality, accuracy and completeness remains lacking in many regards. With ChemSpider we have provided a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data, experimental properties and linking to other valuable resources.
This presentation will provide an overview of ChemSpider and its value to chemists as a search tool, as a public repository of information and how it can become one of the primary foundations of internet-based chemistry. I will also discuss the vision for ChemSpider and some of the exciting goals we are setting for the system moving forward.
The document discusses various methods for representing chemical structures computationally, including linear notations like SMILES strings, atom and connection tables, graphs, and fingerprints. It describes how these representations enable different types of structure searching and analysis, such as substructure searching, similarity searching, and cluster analysis of large datasets.
The Royal Society of Chemistry hosts one of the worlds’ richest collections of online chemistry data that is free-to-access for the community. ChemSpider presently hosts over 30 million unique chemical compounds together with associated data and accessible via a number of search techniques. With almost 50,000 unique users per day from around the world the site offers scientists the ability to investigate the world of small molecules via property searches, analytical data and predictive models. The challenges associated with providing a similar platform for “materials” are manifold but, if they could be addressed, would offer a valuable service to the materials community. This presentation will provide an overview of how ChemSpider was built, our efforts to expand the capabilities to a more encompassing data repository and some of the challenges faced to embrace the diverse world of materials informatics and online data access.
This is a presentation given to a group of students at the UNC Eshelman School of Pharmacy.
As chemists many of us want to resource information that is high quality, accurate and addresses our query. With the increasing proliferation of online chemistry resources it is very common for us to turn to these resources to source data. However, are resources such as Wikipedia, PubChem and the plethora of databases delivering information for metabolism, medicinal chemistry and synthetic chemistry trustworthy? Which of these resources, if any, should be treated as authorities? What is the most integrated approach to resource chemistry related data online? What approaches can be taken to validate the data that is available and how can individual scientists participate in helping to improve the content and quality of chemistry related data on the web.
Antony Williams is ChemSpiderman. He started the ChemSpider database (www.chemspider.com) as a hobby to deliver a free platform for the community to source chemistry related data. Within three years the system was acquired by the Royal Society of Chemistry and now serves up close to 25 million chemical structures linked to over 400 data sources across the internet and offers individual scientists the opportunity to host and share their data with the community and to participate in data curation and annotation. Tony will share his experiences of building this chemistry database with a focus on data validation and curation and sourcing high quality data. During the presentation he will discuss ways to check chemical structure representations before submission to public systems for searching and provide an overview of chemical identifiers such as SMILES strings and the International Chemical Identifier (InChI) allows for the interlinking of resources. Attendees can expect to leave the session with a deeper understanding of utilizing the internet to resource chemistry related data.
This is a workshop I gave on "Online Public Compound Databases" at the BCCE in Dallas, Texas on August 3rd 2010. It is an overview of online resources, InChI, linking data, online data quality, searching and ChemSpider.
The internet has revolutionized the sharing of data and information and in the domain of chemistry there are many resources available to help with our research. In recent years various online resources have been introduced that allow users to access information, properties and data associated with chemical entities. At a time when CAS has declared that they now have over 50 million unique chemical entities in the registry the number of chemical structures distributed across the internet also measures in the tens of millions. There are many tens of databases on the internet hosting chemical structures associated with data focused on the specific nature of the collection – metabolic pathways, spectral data collections, chemical vendor collections, biological assay data and crystal structures are examples. Unfortunately there has been no single way to search across all of these resources. ChemSpider has taken on the task of integrating the multiple online resources of information into a single database using the chemical structure as the primary key and retaining the link out and attribution to the original datasource. In this manner ChemSpider intends to become a structure-centric hub for the chemistry community. This talk will provide an overview of the ChemSpider platform, how it is being used as a crowdsourcing platform for community-based curation of the data and the future vision of ChemSpider as one of the pillars of the semantic web of chemistry.
ChemSpider is a free access website for chemists built with the intention of providing a structure centric community for chemists. It was developed to index available sources of chemical structures and their associated data into a single searchable repository and making it available to everybody, at no charge. While there are a large number of databases containing chemical compounds and data available online their inherent quality, accuracy and completeness is severely lacking. ChemSpider has provided a platform so that the chemistry community could contribute to improving the quality of data online and expanding the information to include data such as reaction syntheses, analytical data, experimental properties and linkages to other valuable resources. It has grown into a resource containing over 21 million unique chemical structures from over 200 data sources.
This presentation will provide an overview of ChemSpider and its value to chemists as a search tool, as a public repository of information and how it can become one of the primary foundations of internet-based chemistry. I will also discuss the vision for ChemSpider and some of the lofty goals we are setting for the system moving forward.
ChemSpider is a free access website for chemists built with the vision of providing a structure centric community for chemists. Vision is great…execution is better. ChemSpider is now one of the internet’s primary portals for chemistry offering access to over 23 million unique chemical structures from over 200 data sources and expanding daily. Even though there are tens if not hundreds of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. there has been no single way to search across them. Despite the fact that there are a large number of databases containing chemical compounds and data available online their inherent quality, accuracy and completeness remains lacking in many regards. With ChemSpider we have provided a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data, experimental properties and linking to other valuable resources.
This presentation will provide an overview of ChemSpider and its value to chemists as a search tool, as a public repository of information and how it can become one of the primary foundations of internet-based chemistry. I will also discuss the vision for ChemSpider and some of the exciting goals we are setting for the system moving forward.
This document discusses building an online profile as a scientist in the era of big data and open science. It begins with an overview of the speaker's background working in academia, industry, and as an entrepreneur. The speaker then discusses various online tools and platforms that scientists can use to share their work and expertise, such as ORCID, LinkedIn, Google Scholar, SlideShare, and ResearchGate. He emphasizes the importance of making contributions openly available online in order to increase visibility and measure impact through alternative metrics. The speaker also provides examples of using these tools to showcase his own career and publications.
The document discusses the challenges of searching for chemistry information online and proposes a vision for improving chemistry searches through a structure-centric approach. It outlines ChemSpider's efforts to integrate chemistry data from various sources on the internet by linking them through chemical structures and InChI identifiers. This allows substructure and skeleton searches that can find more information than text searches. It encourages contributions from students and researchers to add chemical data, curate existing data, and help build ChemSpider into a comprehensive resource for chemistry information on the internet.
There is an increasing availability of free and open access resources for chemists to use on the internet. Coupled with the increasing availability of Open Source software tools we are in the middle of a revolution in data availability and tools to manipulate these data. ChemSpider is a free access website for chemists built with the intention of providing a structure centric community for chemists. It was developed with the intention of aggregating and indexing available sources of chemical structures and their associated information into a single searchable repository and making it available to everybody, at no charge.
There are tens if not hundreds of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. and no single way to search across them. Despite the fact that there were a large number of databases containing chemical compounds and data available online their inherent quality, accuracy and completeness was lacking in many regards. The intention with ChemSpider was to provide a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data, experimental properties and linking to other valuable resources. It has grown into a resource containing over 21 million unique chemical structures from over 200 data sources.
ChemSpider has enabled real time curation of the data, association of analytical data with chemical structures, real-time deposition of single or batch chemical structures (including with activity data) and transaction-based predictions of physicochemical data. The social community aspects of the system demonstrate the potential of this approach. Curation of the data continues daily and thousands of edits and depositions by members of the community have dramatically improved the quality of the data relative to other public resources for chemistry.
This presentation will provide an overview of the history of ChemSpider, the present capabilities of the platform and how it can become one of the primary foundations of the semantic web for chemistry. It will also discuss some of the present projects underway since the acquisition of ChemSpider by the Royal Society of Chemistry.
ChemSpider was developed with the intention of aggregating and indexing available sources of chemical structures and their associated information into a single searchable repository and making it available to everybody, at no charge. There are many tens of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. and no single way to search across them. Despite the diversity of databases available online their inherent quality, accuracy and completeness is lacking in many regards. ChemSpider was established to provide a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data and experimental properties. ChemSpider has now grown into a database of over 20 million chemical substances integrated with over 300 disparate data sources, many of these directly supporting the Life Sciences. This presentation will provide an overview of our efforts to improve the quality of data online, to provide a foundation for the semantic web for chemistry and to provide access to a set online tools and services to support access to these data. I will also discuss how ChemSpider is being used to enhance Semantic Publishing in Chemistry at RSC.
These are the slides I will be giving here at the Science Commons Symposium Pacific Northwest at the Microsoft Campus here in Redmond in about 5 minutes time
The document discusses ChemSpider, a free online chemical database, and its efforts to engage the chemistry community to help build and curate its database. It describes ChemSpider's roles in hosting and exposing chemical data as well as curating submitted data. It acknowledges that while crowdsourcing engagement has been low, more collaboration across databases could help improve overall data quality. Continued growth will depend on better engaging the community to contribute to and help shape the resource.
A Presentation At Nature Publishing Group Crowdsourcing, Collaborations And T...guest01a117
The document discusses using crowdsourcing and text mining to improve access to chemistry information on the internet. It describes ChemSpider, a search engine for chemical structures, properties, and information. ChemSpider aims to index chemistry articles and literature to make chemical information more accessible and searchable by structure. The challenges of aggregating and curating large amounts of chemical data from various sources are also discussed.
I am an adjunct prof at University of North Carolina Chapel Hill so when I stopped by yesterday for a business meeting I was informed that I had been lined up to give a talk to the students at 1pm. I had 20 minutes to prepare and assembled a mish-mash of information that might be of value to Citizen Chemists, those who might want to contribute to chemistry on the internet
This is a presentation given to the Royal Society General Assembly in Birmingham on November 20th 2009. This covers the present status and future vision for ChemSpider
The presentation of ChemSpider was to a groub of science librarians, specifically chemistry librarians, and was meant to provide an overview of the platform and answer the question posed: What is the difference between ChemSpider, CAS Scifinder and Reaxys.
The ChemSpider database is a resource hosted by the Royal Society of Chemistry. With over 28 million unique chemicals on the database linked out to over 400 data sources the platform provides access to experimental and predicted data (properties, spectra etc.), links to publications, patents and a myriad of other resources. The ChemSpider database has been used as the foundation of a number of other resources for chemists including ChemSpider SyntheticPages, the Learn Chemistry Wiki and the Spectral Game. This presentation will provide an overview of ChemSpider and discuss how chemists can both derive value from and contribute to the content available from the database and its related resources. We will also discuss our view of future platform for managing personal, institutional and public chemistry in a shared environment.
Crowd-sourcing is being used to build ChemSpider, a structure-centric community for chemists. ChemSpider allows users to search over 20 million chemical structures and associated data. It enables collaborative curation of data through tools like commenting and editing. ChemSpider aims to enable open discovery through features like virtual screening of compounds using LASSO descriptors.
This is a presentation I gave at the FDA on December 1st 2009 in Wahington DC as part of a symposium involving PubChem, ChemIDPLus, PillBox, DailyMed and other related systems. The focus was, as usual, on the quality of data online and how to clean up the information and with a specific focus on the quality of data on the FDA's DailyMed and our efforts to apply semantic markup to the DailyMed articles
The document discusses several issues related to digital chemical representations and InChI. It provides a brief history of chemical notation systems and discusses some limitations of InChI, including representing tautomers, polymers, and neutral component duplication. The document also notes ongoing work to address stereochemistry issues and support for experimental features like polymer representation. However, many challenges remain for InChI to fully represent the complexity of real-world chemicals.
This was a presentation I gave to an audience at Nature Publishing Group in New York on May 7th 2009. It's a long presentation and over an hour in length. Not much new here relative to other presentations...just a knitting together of many of the others on here.
There is an increasing availability of free and open access resources for scientists to use on the internet. Coupled with an increasing number of Open Source software programs we are in the middle of a revolution in data availability and tools to manipulate these data. ChemSpider is a free access website built with the intention of providing a structure centric community for chemists. As an aggregator of chemistry related information from many sources, at present over 21.5 million unique chemical entities from over 190 separate data sources, ChemSpider has taken on the task of both robotically and manually integrating and curating publicly available data sources. ChemSpider has also provided an environment for users to deposit, curate and annotate chemistry-related information. This has allowed the community to enhance ChemSpider by adding analytical data, associating synthetic pathways and publications and connecting to social networking resources. I will discuss how ChemSpider is fast becoming the premier curated platform and centralized hub for resourcing information about chemical entities and how the platform provides the foundation data for services allowing the analysis of analytical data and collaborative science.
- ChemSpider is a free online database of over 21.5 million chemical structures that can be searched by chemical structure, substructure, or text. It aims to make chemistry research openly accessible online.
- ChemSpider indexes chemistry articles and allows them to be searched by chemical structure. It hosts open access articles and is developing tools for crowd-sourced annotation and curation of chemistry literature.
- Key challenges include maintaining data quality at large scale, integrating with authoritative databases, and gaining support from all stakeholders in open data sharing versus closed systems.
This is a general presentation about our efforts to build an internet based community for chemists using ChemSpider. A general overview of data quality online, crowdsourced deposition and curation and our progress to deliver a solution to the community for resourcing data.
This is a presentation given in Track 4, Open Access and Cheminformatics, at the Bio-IT Meeting in Boston on April 21st 2010. It is a general overview of ChemSpider activities to link together the internet for chemists and validate and curate data. We won the Bio-IT Best Practices Community Service Award that evening also.
The document discusses building a structure-centric community for chemists by leveraging crowdsourcing and text-mining of open chemistry data on the internet. It describes ChemSpider's capabilities to search and aggregate chemical data from various sources by structure and property and its efforts to curate and link open access literature and patents to chemical structures. Challenges around data quality and ambiguity in chemical names are also covered. The goal is to enable new ways of searching chemistry information centered around chemical structures.
The document summarizes the vision and challenges of ChemSpider, a free online database for chemists. Key points:
- ChemSpider aims to connect chemistry online by allowing searches by chemical structure and linking to related data across the web.
- It was built as a "hobby project" on limited resources but has grown significantly.
- Ensuring data quality is a major challenge due to errors inherited from other databases. Extensive curation is needed.
- Name searching is problematic, structure and substructure searching is preferred.
- Future work includes continued curation, improved search capabilities, and collaborative data cleaning across databases.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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Similar to Navigating an Internet of Chemistry via ChemSpider
This document discusses building an online profile as a scientist in the era of big data and open science. It begins with an overview of the speaker's background working in academia, industry, and as an entrepreneur. The speaker then discusses various online tools and platforms that scientists can use to share their work and expertise, such as ORCID, LinkedIn, Google Scholar, SlideShare, and ResearchGate. He emphasizes the importance of making contributions openly available online in order to increase visibility and measure impact through alternative metrics. The speaker also provides examples of using these tools to showcase his own career and publications.
The document discusses the challenges of searching for chemistry information online and proposes a vision for improving chemistry searches through a structure-centric approach. It outlines ChemSpider's efforts to integrate chemistry data from various sources on the internet by linking them through chemical structures and InChI identifiers. This allows substructure and skeleton searches that can find more information than text searches. It encourages contributions from students and researchers to add chemical data, curate existing data, and help build ChemSpider into a comprehensive resource for chemistry information on the internet.
There is an increasing availability of free and open access resources for chemists to use on the internet. Coupled with the increasing availability of Open Source software tools we are in the middle of a revolution in data availability and tools to manipulate these data. ChemSpider is a free access website for chemists built with the intention of providing a structure centric community for chemists. It was developed with the intention of aggregating and indexing available sources of chemical structures and their associated information into a single searchable repository and making it available to everybody, at no charge.
There are tens if not hundreds of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. and no single way to search across them. Despite the fact that there were a large number of databases containing chemical compounds and data available online their inherent quality, accuracy and completeness was lacking in many regards. The intention with ChemSpider was to provide a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data, experimental properties and linking to other valuable resources. It has grown into a resource containing over 21 million unique chemical structures from over 200 data sources.
ChemSpider has enabled real time curation of the data, association of analytical data with chemical structures, real-time deposition of single or batch chemical structures (including with activity data) and transaction-based predictions of physicochemical data. The social community aspects of the system demonstrate the potential of this approach. Curation of the data continues daily and thousands of edits and depositions by members of the community have dramatically improved the quality of the data relative to other public resources for chemistry.
This presentation will provide an overview of the history of ChemSpider, the present capabilities of the platform and how it can become one of the primary foundations of the semantic web for chemistry. It will also discuss some of the present projects underway since the acquisition of ChemSpider by the Royal Society of Chemistry.
ChemSpider was developed with the intention of aggregating and indexing available sources of chemical structures and their associated information into a single searchable repository and making it available to everybody, at no charge. There are many tens of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. and no single way to search across them. Despite the diversity of databases available online their inherent quality, accuracy and completeness is lacking in many regards. ChemSpider was established to provide a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data and experimental properties. ChemSpider has now grown into a database of over 20 million chemical substances integrated with over 300 disparate data sources, many of these directly supporting the Life Sciences. This presentation will provide an overview of our efforts to improve the quality of data online, to provide a foundation for the semantic web for chemistry and to provide access to a set online tools and services to support access to these data. I will also discuss how ChemSpider is being used to enhance Semantic Publishing in Chemistry at RSC.
These are the slides I will be giving here at the Science Commons Symposium Pacific Northwest at the Microsoft Campus here in Redmond in about 5 minutes time
The document discusses ChemSpider, a free online chemical database, and its efforts to engage the chemistry community to help build and curate its database. It describes ChemSpider's roles in hosting and exposing chemical data as well as curating submitted data. It acknowledges that while crowdsourcing engagement has been low, more collaboration across databases could help improve overall data quality. Continued growth will depend on better engaging the community to contribute to and help shape the resource.
A Presentation At Nature Publishing Group Crowdsourcing, Collaborations And T...guest01a117
The document discusses using crowdsourcing and text mining to improve access to chemistry information on the internet. It describes ChemSpider, a search engine for chemical structures, properties, and information. ChemSpider aims to index chemistry articles and literature to make chemical information more accessible and searchable by structure. The challenges of aggregating and curating large amounts of chemical data from various sources are also discussed.
I am an adjunct prof at University of North Carolina Chapel Hill so when I stopped by yesterday for a business meeting I was informed that I had been lined up to give a talk to the students at 1pm. I had 20 minutes to prepare and assembled a mish-mash of information that might be of value to Citizen Chemists, those who might want to contribute to chemistry on the internet
This is a presentation given to the Royal Society General Assembly in Birmingham on November 20th 2009. This covers the present status and future vision for ChemSpider
The presentation of ChemSpider was to a groub of science librarians, specifically chemistry librarians, and was meant to provide an overview of the platform and answer the question posed: What is the difference between ChemSpider, CAS Scifinder and Reaxys.
The ChemSpider database is a resource hosted by the Royal Society of Chemistry. With over 28 million unique chemicals on the database linked out to over 400 data sources the platform provides access to experimental and predicted data (properties, spectra etc.), links to publications, patents and a myriad of other resources. The ChemSpider database has been used as the foundation of a number of other resources for chemists including ChemSpider SyntheticPages, the Learn Chemistry Wiki and the Spectral Game. This presentation will provide an overview of ChemSpider and discuss how chemists can both derive value from and contribute to the content available from the database and its related resources. We will also discuss our view of future platform for managing personal, institutional and public chemistry in a shared environment.
Crowd-sourcing is being used to build ChemSpider, a structure-centric community for chemists. ChemSpider allows users to search over 20 million chemical structures and associated data. It enables collaborative curation of data through tools like commenting and editing. ChemSpider aims to enable open discovery through features like virtual screening of compounds using LASSO descriptors.
This is a presentation I gave at the FDA on December 1st 2009 in Wahington DC as part of a symposium involving PubChem, ChemIDPLus, PillBox, DailyMed and other related systems. The focus was, as usual, on the quality of data online and how to clean up the information and with a specific focus on the quality of data on the FDA's DailyMed and our efforts to apply semantic markup to the DailyMed articles
The document discusses several issues related to digital chemical representations and InChI. It provides a brief history of chemical notation systems and discusses some limitations of InChI, including representing tautomers, polymers, and neutral component duplication. The document also notes ongoing work to address stereochemistry issues and support for experimental features like polymer representation. However, many challenges remain for InChI to fully represent the complexity of real-world chemicals.
This was a presentation I gave to an audience at Nature Publishing Group in New York on May 7th 2009. It's a long presentation and over an hour in length. Not much new here relative to other presentations...just a knitting together of many of the others on here.
There is an increasing availability of free and open access resources for scientists to use on the internet. Coupled with an increasing number of Open Source software programs we are in the middle of a revolution in data availability and tools to manipulate these data. ChemSpider is a free access website built with the intention of providing a structure centric community for chemists. As an aggregator of chemistry related information from many sources, at present over 21.5 million unique chemical entities from over 190 separate data sources, ChemSpider has taken on the task of both robotically and manually integrating and curating publicly available data sources. ChemSpider has also provided an environment for users to deposit, curate and annotate chemistry-related information. This has allowed the community to enhance ChemSpider by adding analytical data, associating synthetic pathways and publications and connecting to social networking resources. I will discuss how ChemSpider is fast becoming the premier curated platform and centralized hub for resourcing information about chemical entities and how the platform provides the foundation data for services allowing the analysis of analytical data and collaborative science.
- ChemSpider is a free online database of over 21.5 million chemical structures that can be searched by chemical structure, substructure, or text. It aims to make chemistry research openly accessible online.
- ChemSpider indexes chemistry articles and allows them to be searched by chemical structure. It hosts open access articles and is developing tools for crowd-sourced annotation and curation of chemistry literature.
- Key challenges include maintaining data quality at large scale, integrating with authoritative databases, and gaining support from all stakeholders in open data sharing versus closed systems.
This is a general presentation about our efforts to build an internet based community for chemists using ChemSpider. A general overview of data quality online, crowdsourced deposition and curation and our progress to deliver a solution to the community for resourcing data.
This is a presentation given in Track 4, Open Access and Cheminformatics, at the Bio-IT Meeting in Boston on April 21st 2010. It is a general overview of ChemSpider activities to link together the internet for chemists and validate and curate data. We won the Bio-IT Best Practices Community Service Award that evening also.
The document discusses building a structure-centric community for chemists by leveraging crowdsourcing and text-mining of open chemistry data on the internet. It describes ChemSpider's capabilities to search and aggregate chemical data from various sources by structure and property and its efforts to curate and link open access literature and patents to chemical structures. Challenges around data quality and ambiguity in chemical names are also covered. The goal is to enable new ways of searching chemistry information centered around chemical structures.
The document summarizes the vision and challenges of ChemSpider, a free online database for chemists. Key points:
- ChemSpider aims to connect chemistry online by allowing searches by chemical structure and linking to related data across the web.
- It was built as a "hobby project" on limited resources but has grown significantly.
- Ensuring data quality is a major challenge due to errors inherited from other databases. Extensive curation is needed.
- Name searching is problematic, structure and substructure searching is preferred.
- Future work includes continued curation, improved search capabilities, and collaborative data cleaning across databases.
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Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Navigating an Internet of Chemistry via ChemSpider
1. Navigating an Internet of Chemistry via ChemSpider Antony Williams University of Arkansas, Little Rock, October 2011 UALR Chemistry Seminar Guest Lecture