P-161 Advances and Progress in Drug DesignWarka Ghirmai
This document provides information on the 15th annual conference on Advances and Progress in Drug Design taking place on February 15-16, 2016 in London. The conference will focus on optimizing protein-based drug discovery and biophysical tools to prioritize novel drug candidates. There will also be two interactive half-day post-conference workshops on February 17th focusing on molecular recognition from a dynamic perspective and analysis and application of ligand conformation in drug design. Speakers will include representatives from pharmaceutical companies such as Pfizer, AstraZeneca, Janssen, Roche, and Eli Lilly who will discuss topics like structure-based drug design using fragments, water mapping applications in drug design, and biophysical screening tools for compound validation
10th International Conference Compound Libraries 2014Torben Haagh
VISIT THE CONFERENCE WEBSITE HERE:
http://bit.ly/CompoundLibrariesSlideshare
Maximizing information in early-phase R&D for an optimal library design and target selection
We are excited to conduct the 10th annual meeting of the formerly known Compound Libraries conference! Over the last decade we have provided the pharmaceutical R&D community with a wonderful platform for exchanging knowledge and ideas about how best to optimize the qualification of drug candidates.
We have hosted almost all major pharmaceutical companies and heard dozens of case-studies relating to important and acute issues. When returning back to the programs from previous years, it is interesting to look at the timeline of changing approaches, trends and market-related developments. Our topical spectrum ranged from compound management and acquisition to collaboration frameworks, open access, library design, screening and analysis.
This year we bring you 15 case studies about the most burning issues in early-stage discovery today and offer you a valuable trend-analysis and networking with peers and colleagues from pharmaceutical companies, biotechs, CROs and academic research institutes.
Don’t miss our 10th anniversary and join us in Berlin to take part at our legacy conference!
Benefit from participating in discussions about the following topics:
-10 years perspective on synthesizing and designing compound libraries
-What is the role of ligand efficiency metrics in drug discovery? Have your say in this controversial debate!
-Next generation library design - working towards better PPI and epigenetic libraries
-Exploration of bioactive and novel chemical space by application of privileged structure concept design
-Learn from Janssen’s experience with the assembly of the IMI European Lead Factory (ELF) library
-What is the real potential of macrocycles and are they the drugs of the future?
Cresset is a computational chemistry company that provides software and consulting services to pharmaceutical and biotech companies. It has over 15 years of experience, 270+ projects delivered globally, and customers in North America, Europe, India, China, Japan and Korea. Cresset's expert computational chemists use ligand-based and structure-based modeling workflows to help customers gain insights into protein-ligand binding and design new molecules. Case studies demonstrate how Cresset has helped discover new hits and develop patents for clients. Testimonials from CEOs and heads of research praise Cresset's knowledge, collaboration, and ability to advance drug discovery projects.
This document provides an overview and agenda for the 2nd annual conference on drug discovery taking place on March 21st-22nd, 2018 in London. The conference will feature presentations and discussions on:
1) New technologies to improve discovery cycles in chemistry and drug discovery processes, including the role of artificial intelligence and new modalities like PROTACs and antibodies.
2) Advances in small molecule therapeutics from Roche and challenges in validating targets with CRISPR from Epizyme.
3) The role of open access chemical probes from the SGC and how Bayer uses them in drug discovery.
4) How artificial intelligence can transform drug design and discovery efforts at companies like Exscient
Emerging Challenges for Artificial Intelligence in Medicinal ChemistryEd Griffen
Presentation by Dr Ed Griffen of MedChemica Ltd, at The IBSA Conference "How Artificial Intelligence Can Change the Pharmaceutical Landscape“ - LUGANO, October 9th 2019.
MedChemica - Automated Extraction of Actionable Knowledge from Large Scale in...Al Dossetter
This document discusses the importance of stereochemistry in medicinal chemistry research and drug development. It notes that many approved drugs are chiral molecules where the specific stereochemistry is important. Better rules for medicinal chemistry could help reduce high drug development costs by improving predictions of properties like absorption, distribution, metabolism, and excretion. The document advocates mining large datasets of in vitro pharmacology data to extract actionable knowledge about stereochemistry and its effects on important drug properties and clinical outcomes. This could help medicinal chemists design safer and more effective compounds with lower attrition rates in development.
Computer aided drug design (CADD) uses computer modeling to help design and discover new drug molecules. It involves designing molecules that are complementary in shape and charge to bind to a biomolecular target like a protein. This can help drugs activate or inhibit the target to produce therapeutic effects. CADD is not a direct route to new drugs but provides information to guide and coordinate drug discovery experiments in a more efficient manner. It is hoped CADD can help save time and money in the drug development process.
Accelerating multiple medicinal chemistry projects using Artificial Intellige...Al Dossetter
The technical methods and results of Matched Molecular Pair Analysis (MMPA) applied from a small, individual assay scale through large pharma scale, to multiple pharma data sharing scale have been published and reviewed. The drive behind these efforts has been to derive a medicinal chemistry knowledge base (i.e. definitive textbook) that can be applied to drug discovery projects. The aim is to greatly decrease the time in lead identification and optimization by the synthesis of fewer compounds. Such a system suggests compound designs to expert chemists to triage; such a process is Artificial Intelligence (AI). Given this context, how does this work on projects? How do the chemists make decisions? What are the results? The talk will answer these questions through project examples where MMPA has been applied and how this led to drug candidates. The projects disclosed are from multiple organisations and describe Cathepsin K inhibitors, Glucokinase Inhibitors, 11β-Hydroxysteroid Dehydrogenase Type I Inhibitors (11β-HSD1), Ghrelin inverse antagonists and Tubulin Polymerization inhibitors. An overview of MMPA will be presented and each project will be briefly described with a focus on how the chemists used MMPA to understand SAR and design compounds. The impact of project progress to CD will be quantified.
P-161 Advances and Progress in Drug DesignWarka Ghirmai
This document provides information on the 15th annual conference on Advances and Progress in Drug Design taking place on February 15-16, 2016 in London. The conference will focus on optimizing protein-based drug discovery and biophysical tools to prioritize novel drug candidates. There will also be two interactive half-day post-conference workshops on February 17th focusing on molecular recognition from a dynamic perspective and analysis and application of ligand conformation in drug design. Speakers will include representatives from pharmaceutical companies such as Pfizer, AstraZeneca, Janssen, Roche, and Eli Lilly who will discuss topics like structure-based drug design using fragments, water mapping applications in drug design, and biophysical screening tools for compound validation
10th International Conference Compound Libraries 2014Torben Haagh
VISIT THE CONFERENCE WEBSITE HERE:
http://bit.ly/CompoundLibrariesSlideshare
Maximizing information in early-phase R&D for an optimal library design and target selection
We are excited to conduct the 10th annual meeting of the formerly known Compound Libraries conference! Over the last decade we have provided the pharmaceutical R&D community with a wonderful platform for exchanging knowledge and ideas about how best to optimize the qualification of drug candidates.
We have hosted almost all major pharmaceutical companies and heard dozens of case-studies relating to important and acute issues. When returning back to the programs from previous years, it is interesting to look at the timeline of changing approaches, trends and market-related developments. Our topical spectrum ranged from compound management and acquisition to collaboration frameworks, open access, library design, screening and analysis.
This year we bring you 15 case studies about the most burning issues in early-stage discovery today and offer you a valuable trend-analysis and networking with peers and colleagues from pharmaceutical companies, biotechs, CROs and academic research institutes.
Don’t miss our 10th anniversary and join us in Berlin to take part at our legacy conference!
Benefit from participating in discussions about the following topics:
-10 years perspective on synthesizing and designing compound libraries
-What is the role of ligand efficiency metrics in drug discovery? Have your say in this controversial debate!
-Next generation library design - working towards better PPI and epigenetic libraries
-Exploration of bioactive and novel chemical space by application of privileged structure concept design
-Learn from Janssen’s experience with the assembly of the IMI European Lead Factory (ELF) library
-What is the real potential of macrocycles and are they the drugs of the future?
Cresset is a computational chemistry company that provides software and consulting services to pharmaceutical and biotech companies. It has over 15 years of experience, 270+ projects delivered globally, and customers in North America, Europe, India, China, Japan and Korea. Cresset's expert computational chemists use ligand-based and structure-based modeling workflows to help customers gain insights into protein-ligand binding and design new molecules. Case studies demonstrate how Cresset has helped discover new hits and develop patents for clients. Testimonials from CEOs and heads of research praise Cresset's knowledge, collaboration, and ability to advance drug discovery projects.
This document provides an overview and agenda for the 2nd annual conference on drug discovery taking place on March 21st-22nd, 2018 in London. The conference will feature presentations and discussions on:
1) New technologies to improve discovery cycles in chemistry and drug discovery processes, including the role of artificial intelligence and new modalities like PROTACs and antibodies.
2) Advances in small molecule therapeutics from Roche and challenges in validating targets with CRISPR from Epizyme.
3) The role of open access chemical probes from the SGC and how Bayer uses them in drug discovery.
4) How artificial intelligence can transform drug design and discovery efforts at companies like Exscient
Emerging Challenges for Artificial Intelligence in Medicinal ChemistryEd Griffen
Presentation by Dr Ed Griffen of MedChemica Ltd, at The IBSA Conference "How Artificial Intelligence Can Change the Pharmaceutical Landscape“ - LUGANO, October 9th 2019.
MedChemica - Automated Extraction of Actionable Knowledge from Large Scale in...Al Dossetter
This document discusses the importance of stereochemistry in medicinal chemistry research and drug development. It notes that many approved drugs are chiral molecules where the specific stereochemistry is important. Better rules for medicinal chemistry could help reduce high drug development costs by improving predictions of properties like absorption, distribution, metabolism, and excretion. The document advocates mining large datasets of in vitro pharmacology data to extract actionable knowledge about stereochemistry and its effects on important drug properties and clinical outcomes. This could help medicinal chemists design safer and more effective compounds with lower attrition rates in development.
Computer aided drug design (CADD) uses computer modeling to help design and discover new drug molecules. It involves designing molecules that are complementary in shape and charge to bind to a biomolecular target like a protein. This can help drugs activate or inhibit the target to produce therapeutic effects. CADD is not a direct route to new drugs but provides information to guide and coordinate drug discovery experiments in a more efficient manner. It is hoped CADD can help save time and money in the drug development process.
Accelerating multiple medicinal chemistry projects using Artificial Intellige...Al Dossetter
The technical methods and results of Matched Molecular Pair Analysis (MMPA) applied from a small, individual assay scale through large pharma scale, to multiple pharma data sharing scale have been published and reviewed. The drive behind these efforts has been to derive a medicinal chemistry knowledge base (i.e. definitive textbook) that can be applied to drug discovery projects. The aim is to greatly decrease the time in lead identification and optimization by the synthesis of fewer compounds. Such a system suggests compound designs to expert chemists to triage; such a process is Artificial Intelligence (AI). Given this context, how does this work on projects? How do the chemists make decisions? What are the results? The talk will answer these questions through project examples where MMPA has been applied and how this led to drug candidates. The projects disclosed are from multiple organisations and describe Cathepsin K inhibitors, Glucokinase Inhibitors, 11β-Hydroxysteroid Dehydrogenase Type I Inhibitors (11β-HSD1), Ghrelin inverse antagonists and Tubulin Polymerization inhibitors. An overview of MMPA will be presented and each project will be briefly described with a focus on how the chemists used MMPA to understand SAR and design compounds. The impact of project progress to CD will be quantified.
MedChemica BigData What Is That All About?Al Dossetter
A light look at the world of BigData for the lay person - a look at a couple of examples and what we do in MedChemica to speed up drug discovery. First presented at Macclesfield SciBar, and then Knutsford SciBar.
1. Collaboration and data sharing in science is essential but requires technological and cultural changes to allow for analysis and insights.
2. Improving data sharing across organizations is challenging due to heterogeneous systems and social barriers.
3. The Medicines Discovery Catapult is supporting the biopharma sector by developing solutions to improve data interpretation, collaborative data sharing between organizations, and by matching industry challenges to technology providers.
How we Built a Large Scale Matched Pair Analysis Engine (MCPairs) using OpenE...Al Dossetter
MCPairs performed Matched Molecular Pair Analysis on large scale to build databases of exploitable knowledge which is accessible for Drug Discovery to accelerate research projects. The talk describes how we did this and some of the challenges.
Practical Drug Discovery using Explainable Artificial IntelligenceAl Dossetter
How to build AI systems to enable the drug hunting medicinal chemist in their day-to-day work. Levels are AI are described and the meaning and context Explainable AI to medicinal chemists. Six medicinal chemist projects are described, as well as Matched Molecular Pair Analysis (MMPA), Machine Learning and Permutative MMPA. In each case how a system can be built to drill back to chemical sub-structures so effective decisions can be made.
MedChemica Active Learning - Combining MMPA and MLAl Dossetter
Describes MedChemica research on combining Matched Molecular Pair Analysis (MMPA) and Machine Learning (ML) into a closed loop to find and optimize new hits for drug discovery. The talks describes the MMPA and Regression Forest models and how they were combined and some early conclusion. Of these permutative MMPA is the clear winner (Free Wilson ++)
SMi Group's AI in Drug Discovery 2020 conferenceDale Butler
This document provides information about an upcoming conference on AI in Drug Discovery taking place from March 16-17, 2020 in London, UK. It includes details about the program, speakers, registration fees and deadlines. The conference will explore how machine learning and AI are being applied across the drug discovery process, from compound design and virtual screening to toxicity prediction. There will be case studies presented from major pharmaceutical companies on their experience integrating AI. The document also advertises sponsorship opportunities for the event.
The talk describes the science and results of a consortium of multiple pharmaceutical companies extracting medicinal chemistry knowledge from research data and the application to real drug design projects. A new technique for automating pharmacophore / toxophore finding from public data is disclosed.
Presented at Artificial Intelligence and Machine Learning for Advanced Drug Discovery & Development 2019 on 28th May 2019 by Dr Ed Griffen of MedChemica Ltd
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...Barry Smith
Presentation to the Clinical and Research Ethics Seminar, Clinical and Translational Science Center, Buffalo, January 21, 2014
https://immport.niaid.nih.gov/
http://youtu.be/booqxkpvJMg
Stakeholder engagement in early stage new product-service system developmentMan Hang Yip
The document presents research on factors that influence stakeholder engagement in early stage new product-service system development. It discusses four key findings:
1. A four-level framework to systematically identify stakeholders.
2. A technique to characterize connectivity between a system and its environment based on data and process interaction.
3. Degrees of connectivity being independent, linked, or incorporated.
4. Stakeholder engagement needs varying based on a system's data and process connectivity.
The research aims to provide guidance on stakeholder identification and roles in new PSS development.
This document summarizes a presentation by Timothy Hoctor, VP of Professional Services at Elsevier, about Elsevier's strategic vision and professional services. The key points are:
1) Elsevier aims to increase R&D productivity by linking data across the development spectrum and increase return on information through enhanced search and visualization tools.
2) Elsevier's Professional Services team leverages Elsevier's capabilities to provide customized data management and analysis solutions.
3) Elsevier's strategic objective is to become a leading collaborator in R&D data management through services like data mapping, gap analysis, data governance, and integrated data management.
How predictive models help Medicinal Chemists design better drugs_webinarAnn-Marie Roche
All scientific disciplines, including medicinal chemistry, are experiencing a revolution in unprecedented rates of data being generated and the subsequent analysis and exploitation of this data is increasingly fundamental to innovation. Using data to design better compounds is a challenge for Medicinal and Computational chemists.
The design of small-molecule drug candidates, encompassing characteristics such as potency, selectivity and ADMET (absorption, distribution, metabolism, excretion and toxicity) is a key factor in the success of clinical trials and computer-aided drug discovery/design methods have played a major role in the development of therapeutically important small molecules for over three decades. These methods are broadly classified as either structure-based or ligand-based.
In this webinar our expert Dr. Olivier Barberan will discuss ligand-based methods and he will cover the following:
How to use only ligand information to predict activity depending on its similarity/dissimilarity to previously known active ligands.
- Discuss ligand-based pharmacophores, molecular descriptors, and quantitative structure-activity relationships and important tools such as target/ligand databases necessary for successful implementation of various computer-aided drug discovery/design methods in a drug discovery campaign.
1) Previously, traditional drug discovery relied on lengthy trial-and-error testing but computers now play a key role by analyzing molecular structures in databases to identify candidate molecules that are most likely to bind to targets.
2) Computer-aided drug design (CADD) uses computational chemistry across all stages of drug discovery to expedite processes like hit identification, lead optimization, and evaluating absorption and toxicity profiles.
3) CADD involves using software to visualize and model molecules in order to determine receptors, facilitate hit-to-lead selection, and design novel drugs through structure-based and ligand-based drug design.
This document discusses a patented formulation technology from TSRL that can modify the release properties of water-insoluble drugs to provide extended or delayed delivery. The technology is supported by an issued US patent that expires in 2033. Proof-of-concept studies in humans have demonstrated the ability to increase exposure and modulate the pharmacokinetic profile of simvastatin using a delayed release formulation. The technology offers a low-cost option for partners to test formulations and has the potential to improve therapies for conditions that follow circadian patterns or require lower and less toxic doses.
Examples From Medical Device Clinical Trials To Illustrate Advantages Of The ...TechnomicsResearch
This document discusses the use of Bayesian statistical analysis and trial designs in healthcare technology. It provides four examples of how Bayesian methods can be used to reduce sample sizes, allow for earlier trial stopping, calculate predictive distributions, and perform meta-analyses. Bayesian designs offer advantages over traditional methods like reducing the number of patients needed in clinical trials. The document is intended to demonstrate the applications and benefits of Bayesian approaches for regulatory approval and clinical research.
Connecting Metabolomic Data with ContextDmitry Grapov
The document summarizes Dmitry Grapov's presentation on connecting metabolomic data with context. It discusses using network mapping and multivariate tools to analyze metabolomic data by generating connections between metabolites based on biochemical, chemical, and empirical relationships. These connections can help identify relationships between experimental observations and link the known with unknown. The presentation also provides examples of projects applying these techniques to analyze data from various disease studies involving changes in lipids, proteins, and small molecule metabolites.
Model-informed precision dosing using non-linear mixed effects models: an ide...Ruben Faelens
This slide deck introduces model-informed precision dosing to people with a basic education in PK/PD modeling.
It explores some of the scientific challenges and proposed model-predictive control (MPC) as an alternative that may sidestep some of these challenges.
Finally, we present an R package called `tdmore` to allow easy simulation of MIPD problems, and easy implementation of MIPD tools.
This document provides information about the 3rd Annual Conference on Drug Discovery Chemistry hosted by SMi Group. The conference will take place on March 18-19, 2019 in London, UK, with a half-day workshop on March 20. Key speakers will discuss topics such as novel drug modalities, targeting difficult proteins, using artificial intelligence in drug discovery, and optimizing drug discovery techniques. Attendees can learn about recent advances, network with industry leaders, and explore strategic partnerships. Discounts are available for early registration.
This document announces a 10th anniversary conference for COMPOUND LIBRARIES celebrating developments in compound library design, screening, and collaborations over the past decade. The conference will include presentations and workshops on topics such as next generation library design for protein-protein interactions and epigenetic targets, exploring new chemical spaces, and leveraging large datasets and analytics to enhance hit identification and optimization. It provides an agenda with over 60 speakers from pharmaceutical and biotechnology companies discussing challenges and opportunities in medicinal chemistry and compound library design and screening.
MedChemica BigData What Is That All About?Al Dossetter
A light look at the world of BigData for the lay person - a look at a couple of examples and what we do in MedChemica to speed up drug discovery. First presented at Macclesfield SciBar, and then Knutsford SciBar.
1. Collaboration and data sharing in science is essential but requires technological and cultural changes to allow for analysis and insights.
2. Improving data sharing across organizations is challenging due to heterogeneous systems and social barriers.
3. The Medicines Discovery Catapult is supporting the biopharma sector by developing solutions to improve data interpretation, collaborative data sharing between organizations, and by matching industry challenges to technology providers.
How we Built a Large Scale Matched Pair Analysis Engine (MCPairs) using OpenE...Al Dossetter
MCPairs performed Matched Molecular Pair Analysis on large scale to build databases of exploitable knowledge which is accessible for Drug Discovery to accelerate research projects. The talk describes how we did this and some of the challenges.
Practical Drug Discovery using Explainable Artificial IntelligenceAl Dossetter
How to build AI systems to enable the drug hunting medicinal chemist in their day-to-day work. Levels are AI are described and the meaning and context Explainable AI to medicinal chemists. Six medicinal chemist projects are described, as well as Matched Molecular Pair Analysis (MMPA), Machine Learning and Permutative MMPA. In each case how a system can be built to drill back to chemical sub-structures so effective decisions can be made.
MedChemica Active Learning - Combining MMPA and MLAl Dossetter
Describes MedChemica research on combining Matched Molecular Pair Analysis (MMPA) and Machine Learning (ML) into a closed loop to find and optimize new hits for drug discovery. The talks describes the MMPA and Regression Forest models and how they were combined and some early conclusion. Of these permutative MMPA is the clear winner (Free Wilson ++)
SMi Group's AI in Drug Discovery 2020 conferenceDale Butler
This document provides information about an upcoming conference on AI in Drug Discovery taking place from March 16-17, 2020 in London, UK. It includes details about the program, speakers, registration fees and deadlines. The conference will explore how machine learning and AI are being applied across the drug discovery process, from compound design and virtual screening to toxicity prediction. There will be case studies presented from major pharmaceutical companies on their experience integrating AI. The document also advertises sponsorship opportunities for the event.
The talk describes the science and results of a consortium of multiple pharmaceutical companies extracting medicinal chemistry knowledge from research data and the application to real drug design projects. A new technique for automating pharmacophore / toxophore finding from public data is disclosed.
Presented at Artificial Intelligence and Machine Learning for Advanced Drug Discovery & Development 2019 on 28th May 2019 by Dr Ed Griffen of MedChemica Ltd
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...Barry Smith
Presentation to the Clinical and Research Ethics Seminar, Clinical and Translational Science Center, Buffalo, January 21, 2014
https://immport.niaid.nih.gov/
http://youtu.be/booqxkpvJMg
Stakeholder engagement in early stage new product-service system developmentMan Hang Yip
The document presents research on factors that influence stakeholder engagement in early stage new product-service system development. It discusses four key findings:
1. A four-level framework to systematically identify stakeholders.
2. A technique to characterize connectivity between a system and its environment based on data and process interaction.
3. Degrees of connectivity being independent, linked, or incorporated.
4. Stakeholder engagement needs varying based on a system's data and process connectivity.
The research aims to provide guidance on stakeholder identification and roles in new PSS development.
This document summarizes a presentation by Timothy Hoctor, VP of Professional Services at Elsevier, about Elsevier's strategic vision and professional services. The key points are:
1) Elsevier aims to increase R&D productivity by linking data across the development spectrum and increase return on information through enhanced search and visualization tools.
2) Elsevier's Professional Services team leverages Elsevier's capabilities to provide customized data management and analysis solutions.
3) Elsevier's strategic objective is to become a leading collaborator in R&D data management through services like data mapping, gap analysis, data governance, and integrated data management.
How predictive models help Medicinal Chemists design better drugs_webinarAnn-Marie Roche
All scientific disciplines, including medicinal chemistry, are experiencing a revolution in unprecedented rates of data being generated and the subsequent analysis and exploitation of this data is increasingly fundamental to innovation. Using data to design better compounds is a challenge for Medicinal and Computational chemists.
The design of small-molecule drug candidates, encompassing characteristics such as potency, selectivity and ADMET (absorption, distribution, metabolism, excretion and toxicity) is a key factor in the success of clinical trials and computer-aided drug discovery/design methods have played a major role in the development of therapeutically important small molecules for over three decades. These methods are broadly classified as either structure-based or ligand-based.
In this webinar our expert Dr. Olivier Barberan will discuss ligand-based methods and he will cover the following:
How to use only ligand information to predict activity depending on its similarity/dissimilarity to previously known active ligands.
- Discuss ligand-based pharmacophores, molecular descriptors, and quantitative structure-activity relationships and important tools such as target/ligand databases necessary for successful implementation of various computer-aided drug discovery/design methods in a drug discovery campaign.
1) Previously, traditional drug discovery relied on lengthy trial-and-error testing but computers now play a key role by analyzing molecular structures in databases to identify candidate molecules that are most likely to bind to targets.
2) Computer-aided drug design (CADD) uses computational chemistry across all stages of drug discovery to expedite processes like hit identification, lead optimization, and evaluating absorption and toxicity profiles.
3) CADD involves using software to visualize and model molecules in order to determine receptors, facilitate hit-to-lead selection, and design novel drugs through structure-based and ligand-based drug design.
This document discusses a patented formulation technology from TSRL that can modify the release properties of water-insoluble drugs to provide extended or delayed delivery. The technology is supported by an issued US patent that expires in 2033. Proof-of-concept studies in humans have demonstrated the ability to increase exposure and modulate the pharmacokinetic profile of simvastatin using a delayed release formulation. The technology offers a low-cost option for partners to test formulations and has the potential to improve therapies for conditions that follow circadian patterns or require lower and less toxic doses.
Examples From Medical Device Clinical Trials To Illustrate Advantages Of The ...TechnomicsResearch
This document discusses the use of Bayesian statistical analysis and trial designs in healthcare technology. It provides four examples of how Bayesian methods can be used to reduce sample sizes, allow for earlier trial stopping, calculate predictive distributions, and perform meta-analyses. Bayesian designs offer advantages over traditional methods like reducing the number of patients needed in clinical trials. The document is intended to demonstrate the applications and benefits of Bayesian approaches for regulatory approval and clinical research.
Connecting Metabolomic Data with ContextDmitry Grapov
The document summarizes Dmitry Grapov's presentation on connecting metabolomic data with context. It discusses using network mapping and multivariate tools to analyze metabolomic data by generating connections between metabolites based on biochemical, chemical, and empirical relationships. These connections can help identify relationships between experimental observations and link the known with unknown. The presentation also provides examples of projects applying these techniques to analyze data from various disease studies involving changes in lipids, proteins, and small molecule metabolites.
Model-informed precision dosing using non-linear mixed effects models: an ide...Ruben Faelens
This slide deck introduces model-informed precision dosing to people with a basic education in PK/PD modeling.
It explores some of the scientific challenges and proposed model-predictive control (MPC) as an alternative that may sidestep some of these challenges.
Finally, we present an R package called `tdmore` to allow easy simulation of MIPD problems, and easy implementation of MIPD tools.
This document provides information about the 3rd Annual Conference on Drug Discovery Chemistry hosted by SMi Group. The conference will take place on March 18-19, 2019 in London, UK, with a half-day workshop on March 20. Key speakers will discuss topics such as novel drug modalities, targeting difficult proteins, using artificial intelligence in drug discovery, and optimizing drug discovery techniques. Attendees can learn about recent advances, network with industry leaders, and explore strategic partnerships. Discounts are available for early registration.
This document announces a 10th anniversary conference for COMPOUND LIBRARIES celebrating developments in compound library design, screening, and collaborations over the past decade. The conference will include presentations and workshops on topics such as next generation library design for protein-protein interactions and epigenetic targets, exploring new chemical spaces, and leveraging large datasets and analytics to enhance hit identification and optimization. It provides an agenda with over 60 speakers from pharmaceutical and biotechnology companies discussing challenges and opportunities in medicinal chemistry and compound library design and screening.
This document provides information about the 11th Annual Conference and Exhibition on ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) taking place on June 13-14, 2016 in London. The conference will focus on linking ADME and pharmacokinetic properties with safety for drug assessment. It will include sessions on optimizing drug design/discovery, translating non-clinical ADME data to clinical use, linking pharmacokinetics with safety, and improving drug-drug interaction assessment. Speakers will discuss topics like physiologically-based pharmacokinetic modeling, in vitro transporter assays, predicting and avoiding drug-induced liver injury, and assessing human plasma concentrations using in silico ADMET models.
This document provides an agenda for the 13th Annual Conference on Controlled Release to be held on April 18-19, 2016 in London. The conference will focus on uniting innovation and science to improve controlled release formulation and delivery for next generation drugs. It will feature speakers from pharmaceutical companies and regulatory agencies discussing topics like the use of Quality by Design in controlled release, innovations in oral and parenteral controlled release technologies, and formulation challenges. The document also lists upcoming conferences held by SMi on other pharmaceutical topics in 2016.
This document provides information about the 12th Annual Conference and Exhibition on ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) taking place from June 12-14, 2017 in London. The conference will address early ADME application strategies and discuss the latest screening and testing models. It will feature talks from industry leaders on topics including predictive toxicity, PK optimization, preclinical testing, drug screening technologies, and physiologically-based PK modeling. A workshop on drug transporters will also be held on the third day.
This document provides information about the 9th annual conference on ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) enhancing drug quality by ADMET optimisation in discovery that will take place from June 30th to July 2nd 2014 at the Marriott Regents Park Hotel in London. Key information includes:
- Discounts are available for booking by March 31st (save £300) and April 30th (save £100).
- The conference will focus on integrating ADMET and toxicity data to enhance drug safety prediction, drug transporters, predictive toxicology, and computational/in vitro ADMET approaches.
- There will be presentations from industry leaders at companies like
SMi Group's Adaptive Designs in Clinical Trials conferenceDale Butler
This document summarizes an upcoming conference on adaptive designs in clinical trials taking place from April 20-21, 2015 in London. The conference will focus on topics such as Bayesian adaptive designs, subgroup selection in clinical trials, integrating real-world patient data into adaptive trials, and designing biomarker-driven multi-arm multi-stage cancer trials. Speakers will discuss challenges with adaptive designs and their use in different therapeutic areas like neurodegenerative diseases. Participants can also register for optional half-day workshops on April 22nd focusing on Bayesian clinical trial designs and navigating international regulatory landscapes for adaptive trials.
The document provides information about the 12th Annual Conference and Exhibition on ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) addressing early ADME application strategies and discussing the latest screening and testing models. The event will take place on June 12-13, 2017 in London, UK and will feature speakers from major pharmaceutical companies discussing topics like predictive human toxicity, ADME/PK optimization, preclinical testing, developments in screening technology, and physiologically-based PK modeling. A half-day workshop on drug transporters will also be held on June 14.
SMi Group's 8th annual Advances in Cell Based AssaysDale Butler
This document provides information about two half-day post-conference workshops on November 12, 2015 following the Advances in Cell Based Assays conference on November 10-11, 2015. Workshop A will focus on the latest generation microscopes for live cell imaging in high-throughput, high-content, and high-content analytical assays, featuring an interactive session with Nikon, UK. Workshop B will explore applying tissue engineering to develop 3D cell-based assays, focusing on generating in vitro disease models, led by Associate Professor Felicity Rose. Both workshops aim to discuss cutting-edge technologies and their applications to advance cell and tissue-based screening assays.
This document provides information about two half-day post-conference workshops on November 12, 2015 following the Advances in Cell Based Assays conference on November 10-11, 2015. Workshop A will focus on the latest generation microscopes for live cell imaging in high-throughput, high-content, and high-content analytical assays, featuring an interactive session with Nikon, UK. Workshop B will explore applying tissue engineering to develop 3D cell-based assays, focusing on generating in vitro disease models, led by Associate Professor Felicity Rose. Both workshops aim to discuss cutting-edge technologies and their applications to advance cell and tissue-based screening assays.
This document outlines a presentation on innovative strategies to accelerate drug development. It discusses Pfizer's locations in the UK and facilities for research, manufacturing, and commercial operations. Predictive science approaches using advanced data and technologies are described to enable accelerated development from molecule to medicine. Continuous manufacturing platforms and modular facilities are presented as ways to improve efficiency.
This document provides information on the 13th Annual Conference on Controlled Release taking place on April 18-19, 2016 in London. The conference will feature sessions on quality by design principles in controlled release drug development, innovations in controlled release delivery methods, and regulatory perspectives on controlled release systems. It will also include two half-day post-conference workshops on April 20th focusing on QbD-driven controlled release design and exploring various controlled release drug delivery methods. The conference aims to bring together industry and academic experts to discuss advances in controlled release formulation and delivery.
This document is a program for the 3rd annual ADC Summit 2014 conference on antibody-drug conjugates taking place from May 19-21, 2014 in London. The conference will feature presentations from industry experts on topics related to developing antibody-drug conjugates, including payloads, linkers, manufacturing, and clinical trials. Attendees can learn about the latest developments and network with other professionals in the field. A pre-conference workshop on May 21st will focus on early phase development considerations for antibody-drug conjugates to support first-in-human clinical trials.
SMi’s 4th annual Peptides conference will give you the perfect platform to network, collaborate and learn over 2 days, featuring various key presentations by senior level industry professionals. With topics such as peptide formulation and delivery, as well as new advances in alternative peptide analysis technologies, Cell Penetrating Peptides, enhancements in synthesis mechanisms, analytical monitoring techniques, and many more.
This document provides information about an upcoming conference on peptide therapeutics taking place on July 6-7, 2017 in London. It includes the following key details:
- The conference will focus on the latest advances in peptide discovery, development and delivery to accelerate progress in the field. It will include sessions on topics like protein-protein interactions, peptide characterization, and strategies for half-life extension.
- Speakers will represent major pharmaceutical companies and present case studies on developing peptide drugs. There will also be workshops on July 5th covering topics like quality by design in manufacturing and oral delivery of peptides.
- Attendees can save money by registering before certain deadlines in March, April and May. The event
This document provides information about an upcoming conference on peptide therapeutics taking place on July 6-7, 2017 in London. It includes the schedule, list of speakers, topics that will be discussed including protein-protein interactions, peptide characterization, and half-life extension strategies. Early registration is encouraged by certain deadlines in March, April, and May to receive discounted pricing.
This document provides information about the 4th annual ADC Summit 2015 conference organized by SMi that will take place from May 18-19, 2015 in London. The conference will focus on advancing antibody-drug conjugate (ADC) and radioimmunotherapy (RIT) therapies, with sessions on payload development, clinical trials of ADCs, small molecule approaches, and intellectual property issues. There will also be a half-day workshop on May 20 about the regulatory requirements and development process for ADCs.
SMi Group's 7th annual Advances in Cell Based Assays conferenceDale Butler
This document summarizes a two-day conference on advances in cell-based assays being held on November 11-12, 2014 in London. The conference will explore the latest developments in cell-based assays and their application in drug discovery and development. Speakers will include representatives from pharmaceutical companies such as GSK, AstraZeneca, Novartis, UCB, and Merck Serono, as well as academics. Topics will include the use of cell-based assays in biologics drug discovery, challenges in validation and regulation, phenotypic screening, stem cell technologies, and 3D cell cultures. Workshops on leveraging cell-based assays for open innovation and evaluating cell-based assays in drug discovery will also be offered
Discovery on Target 2014 - The Industry's Preeminent Event on Novel Drug TargetsJaime Hodges
Cambridge Healthtech Institute's 12th Annual Discovery on Target will showcase current and emerging “hot” targets for the pharmaceutical industry, October 8 – 10, 2014 in Boston, MA. Spanning three days, the meeting will bring together more than 900 global attendees, including scientists/technologists, executives, directors, and managers from biopharma, academic, and healthcare organizations. In 2014 the event is comprised of 14 conference tracks which include Epigenetic Readers, Ubiquitin Proteasome, Big Data Discovery, GPCR Drug Discovery, RNAi-Screens-Functional-Genomics, PPI Targets, Protein-Targets, Histone-Methyltransferases-Demethylases, Drug Transporters, Maximizing Efficiency, GPCR Therapeutics, Genomics Screening, Cancer Metabolism and Membrane Production. The 2014 event will offer 200+ scientific presentations across 14 conference tracks, 1 Symposium and 15 conference short courses, 40+ interactive breakout discussion groups, an exhibit hall of 40+ companies, and dedicated poster viewing and networking sessions.
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SMi Group's Pre-filled Syringes West Coast 2020 conferenceDale Butler
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SMi Group's 14th annual Drug Design 2015 conference
1. BOOK BY 31ST OCTOBER AND SAVE £300 | BOOK BY 28TH NOVEMBER AND SAVE £100
SMi Presents the 14th Annual Conference on…
Advances and Progress
in Drug Design
CHAIRS FOR 2015:
Andreas Bender, Lecturer for Molecular
Informatics, University of Cambridge
Dr Hugo Gutierrez de Teran, Senior
Researcher, Division of Computational and
Systems Biology, Uppsala University
KEY SPEAKERS INCLUDE:
• Gary Tresadern, Principal Scientist, Computational Chemistry,
Lead Discovery, Janssen Research and Development
• Henrik Moebitz, Investigator, Novartis
• Sudharsan Sridharan, Scientist, MedImmune Ltd
• Gianni Chessari, Director, Computational Chemistry, Astex
Pharmaceuticals
• Oliver Plettenburg, Head of Biosensors & Chemical Probes,
Sanofi
• Michael Overduin, Professor of Structural Biology, University
of Birmingham
• Dr Zara Sands, Principal Scientist, Medicinal Chemistry, UCB
BioPharma
• Richard Lewis, Executive Director, Computer-Aided Drug
Design, Novartis
BUSINESS BENEFITS FOR 2015:
• DISCUSS the application of computational based drug
design with five presentations focusing on modelling and
engineering
• JOIN the panel discussion on computational and predictive
tools for the application of drug discovery
• ENHANCE your understanding of fragment-based drug
design by listening to presentations led by UCB
Pharmaceuticals, Astex Pharmaceuticals, ZoBio and the
University of Birmingham
• LISTEN to talks on structure-based drug design from Lead
Pharma, Sanofi, Novartis and Heptares Therapeutics
Sponsored by
PLUS AN INTERACTIVE HALF-DAY POST-CONFERENCE WORKSHOP
Wednesday 18th February 2015, Marriott Regents Park Hotel, London, UK
Fragment-Based Lead Discovery: Issues and Applications
Workshop Leader: Dr Stephen Roughley, Principal Scientist, Medicinal Chemistry, Vernalis (R&D) Ltd.
8.30am – 12.30pm
16th -17th
FEB
2015
Marriott Regents Park Hotel, London, UK
@SMIPHARM
www.drug-design.co.uk
Register online or fax your registration to +44 (0) 870 9090 712 or call +44 (0) 870 9090 711
ACADEMIC & GROUP DISCOUNTS AVAILABLE
2. 14th Annual Advances and Progress in Drug Design
Day One | Monday 16h February 2015 www.drug-d
8.30 Registration & Coffee
9.00 Chairman's Opening Remarks
Dr Hugo Gutierrez de Teran, Senior Researcher, Division of
Computational and Systems Biology, Uppsala University
COMPUTATIONAL BASED DRUG DESIGN
Register online at: www.drug-design.co.uk • Alternatively fax y
OPENING ADDRESS
9.10 Compound Design and Analysis Using Integrated
Chemical and Biological Information
•How to use integrate bioactivity information and gene expression
data for mode-of-action analysis
•How to use integrated biological and chemical data
for compound selection and drug repurposing
•How to use integrated data sources for safety
assessment and scaffold prioritization
Andreas Bender, Lecturer for Molecular Informatics,
University of Cambridge
9.50 Structure based design of PDE2 inhibitors
•Potent and selective PDE2 inhibitors have been identified
•Structure based design was crucial for their identification
•Modelling approaches of increasing sophistication will be
discussed
Gary Tresadern, Principal Scientist, Computational
Chemistry, Lead Discovery, Janssen Research
and Development
10.30 Morning Coffee
11.00 Creating Focused Mutant Libraries for Protein Engineering
•Computational approach for calculating mutation frequencies
and predicting mutation probabilities for sequence residue sites
•Apply mutation probabilities to efficiently sample and reduce the
sequence search space
•Enrich the number of actives by generating virtual focused
protein and antibody libraries for rational biologics design
Paul Labute, President and CEO, Chemical Computing Group
11.40 Application of computational structural biology tools in
biotherapeutics discovery
•Key challenges in biotherapeutics discovery
•How is structural information useful in facing these
challenges
•Case studies in applying structural bioinformatics to
these challenges
•Future perspective
Sudharsan Sridharan, Scientist, MedImmune Ltd
12.20 Networking Lunch
KEYNOTE ADDRESS
1.20 The ABC of kinase conformations – Interplay of conformation,
sequence and ligand binding
•On the basis of a structure based sequence alignment a universal
residue nomenclature is proposed. In this talk a comprehensive
classification of kinase domain conformations with a small set of
clusters is presented.
•Stabilization of the active conformation, as well as inactivation by
displacement of helix-C or the activation loop is linked to the
interaction between helix-C and the DFG motif.
•We show that the conformation of the DFG motif is tightly
correlated with the propensity of helix-C displacement
Henrik Moebitz, Investigator, Novartis
PHARMACOKINETICS, POLYPHARMACOLOGY
& METABOLISM IN DESIGN
2.00 Predicting protein structure, ligand binding and receptor selectivity
on GPCRs
•The GPCR-ModSim web server has been recently upgraded to
account for novel templates and modelling strategies, which will
be here presented and discussed
•Our computational protocols to investigate GPCRs include a
new method to predict site-directed mutagenesis effects on
ligand binding, based on free energy calculations
•We will show recent applications on the adenosine receptors
family: successful prediction of mutagenesis effects
on the A2A adenosine receptor, as well
as on the design of adaptive scaffolds for each
of the four members of this family of GPCRs
Dr Hugo Gutierrez de Teran, Senior Researcher, Division
of Computational and Systems Biology, Uppsala University
2.40 Afternoon Tea
3.10 Identification of drug candidates using network pharmacology
based computational modelling
•Biology and disease are complex systems that can be modelled
as networks of interacting proteins.
•Network science allows the identification of key proteins that can
be perturbed for maximum system level effects.
•Proprietary chemoinformatics tools allow
e-Therapeutics to identify compounds that interact
with those sets of key proteins, and hence which are
likely to show phenotypic activity
Ben Allen, Computational Research Scientist, e-Therapeutics
3.50 PANEL DISCUSSION
How have computational and predictive tools matured for the
application of drug discovery?
•Dr Hugo Gutierrez de Teran, Senior Researcher, Division of
Computational and Systems Biology, Uppsala University
•Paul Labute, President and CEO, Chemical Computing Group
•Gary Tresadern, Principal Scientist, Computational Chemistry,
Lead Discovery, Janssen Research and Development
4.30 Chairman's Closing Remarks and Close of Day One
4.45 Drinks Reception sponsored by
Chemical Computing Group
6.00 Close of Drinks Reception
Official Media Partners Supported by
3. design.co.uk Day Two | Tuesday 17th February 2015
your registration to +44 (0)870 9090 712 or call +44 (0)870 9090 711
Want to know how you
can get involved?
Interested in promoting your
services to this market?
Contact Teri Arri,
SMi Marketing on
+44 (0) 207 827 6162 or
email tarri@smi-online.co.uk
8.30 Registration & Coffee
9.00 Chairman's Opening Remarks
Andreas Bender, Lecturer for Molecular Informatics, University of
Cambridge
FRAGMENT BASED DRUG DESIGN
OPENING ADDRESS
9.10 Rational GPCR drug discovery?
•Successful application of ligand-based and structure-based
computational approaches for the rational design of novel
GPCR antagonists
•Designing novel and improved allosteric GPCR modulators
through a computationally integrated design strategy
•Opportunities and challenges that must be addressed
to enhance our GPCR rational design capabilities
Dr Zara Sands, Principal Scientist, Medicinal Chemistry,
UCB BioPharma
9.50 Fragment Based Design of Protein-Protein Interaction Antagonists
•X-ray and biophysical fragment screening of protein-protein
interaction targets
•Structure based driven optimisation of mM fragment
into potent lead molecules
•Development of potent dual antagonist of XIAP
and cIAP1
Gianni Chessari, Director, Computational Chemistry,
Astex Pharmaceuticals
10.30 Morning Coffee
KEYNOTE ADDRESS
11.00 Building a Robust Technology Pipeline for Robust Fragment Based
Drug Discovery
The keys to successful FBDD are:
•Orthogonality
•High quality protein preparations
•Availability of structural information - from multiple
methods
Gregg Siegal, Chief Scientific Officer, ZoBio
11.40 NMR-based fragment screening and validation for novel kinase
and phosphatase targets
•Are there novel ways to inhibit kinase targets?
•Could phosphatases become druggable targets?
•Can novel lipid binding sites be identified in targets including
proteases?
•Can native membrane:protein targets be isolated?
The methods involved include:
•NMR spectroscopy based fragment screening
•MODA-based prediction of membrane binding sites
•Styrene maleic acid polymer-based protein extraction
Michael Overduin, Professor of Structural Biology,
University of Birmingham
12.20 Networking Lunch
STRUCTURE BASED DRUG DESIGN
CASE STUDY
1.20 Structure-Based Identification and Optimization of MK2 Inhibitors
•X-ray crystallography guided the identification of a novel series of
MK2 inhibitors
•Optimization of the Lead focused on improvement of DMPK
properties
•SBDD drove identification of a sub-series with relatively
high cellular activity
Arthur Oubrie, Chief Scientific Officer, Lead Pharma
2.00 Molecular dynamics and drug design
•Recent applications of endpoint free-energy computational
methods such as molecular mechanics Poisson-Boltzmann
surface area (MM-PBSA) and generalized Born surface area
(MM-GBSA) and linear response methods
•Recent progress in steered molecular dynamics applied to drug
design
Francesca Deflorian, Senior Computational Chemist, Heptares
Therapeutics
2.40 Afternoon Tea
3.10 Structure-based Design of Kinase Inhibitors
•Kinases represent a target class of high therapeutic interest in
oncology and beyond
•The advances of structural biology and the availability of a wide
variety of X-ray structures of target and antitarget kinases
significantly facilitated the development of new kinase inhibitors
•Fundamentals and structure-based design of various novel kinase
inhibitors will be discussed. In addition, a case study on the
development of novel, highly selective Rho-kinase
inhibitors will be presented
Oliver Plettenburg, Head of Biosensors & Chemical
Probes, Sanofi
3.50 Using Chemical and Biological Information for Compound
Selection and Prioritization
•Data-driven discovery - Addressing how modelling
can actually impact drug discovery
Richard Lewis, Executive Director, Computer-Aided
Drug Design, Novartis
4.30 Chairman’s Closing Remarks and Close of Day Two
Supported by
4. HALF-DAY POST-CONFERENCE WORKSHOP
Wednesday 18th February 2015
8.30am – 12.30pm
Marriott Regents Park Hotel, London, UK
Fragment-Based Lead Discovery:
Issues and Applications
Workshop Leader:
Dr Stephen Roughley, Principal Scientist, Medicinal
Chemistry, Vernalis (R&D) Ltd.
Overview of workshop:
This workshop will provide an introduction to
Fragment-based Lead Discovery (FBLD),
addressing theoretical and practical aspects of
the process from library design to screening and
low affinity hit elaboration and evolution to high
potency hits and leads. The course will cover
experimental techniques, target applicability and
integration with other hit identification strategies
and advice on avoiding the more common pitfalls
which may be encountered.
Key Benefits of Attending:
This course is suitable for researchers who are
currently using, or who wish to use, Fragment
Based Lead Discovery (FBLD) methods to identify
and optimise Hits and Leads in a Drug Discovery
program. It is also suitable for those who are
developing compound libraries for use in FBLD
campaigns, and for anyone with an interest in
integrating FBLD approaches with existing hit
identification and lead optimisation strategies
Agenda:
8.30 Registration and Coffee
9.00 Introduction
9.10 Overview & Perspective
10.00 Case Studies
10.30 Coffee Break
11.00 Applications and Issues
12.00 Discussion and Q&A
12.30 End of Workshop
About the workshop host:
Stephen D. Roughley obtained his M.A.
in 1995 and Ph.D. (with Prof. Andrew B.
Holmes, on the modeling and
application of nitrone cycloaddition
reactions to the synthesis of
histrionicotoxin alkaloids) in 1999 from
the University of Cambridge, U.K, undertaking
placements in Medicinal and Process Chemistry
Departments at GlaxoWellcome. In 1999, he
joined RiboTargets (later Vernalis) as a medicinal
chemist, where he has been involved in drug
discovery and technology programs in anti-infective,
CNS, and oncology disease areas.
Following a secondment in NMR-based fragment
screening, he returned to medicinal chemistry as
a Principal Scientist and maintains a broad range
of interests in drug discovery technologies,
medicinal and synthetic chemistry, and
cheminformatics.
About the organisation:
Vernalis is a world leader in
structure and fragment-based drug
discovery, with an excellent track record for
innovation and delivery of clinical candidates in a
range of therapeutic areas. We have one product
on the market, three programmes in Phase II
clinical trials and a broad pipeline o(candidates
derived from successful collaborations with a
number of global pharmaceutical businesses and
from our own research activities.
5. Sponsored by
CCG (Chemical Computing Group) is a
leading supplier of software solutions for life
sciences. With a proven track record in
scientific innovation, CCG continues to
provide state-of-the-art applications in drug
discovery to pharmaceutical, biotechnology
and academic researchers. CCG’s software
platform is the Molecular Operating
Environment (MOE) which is used by
computational chemists, medicinal chemists
and biologists in the major pharmaceutical
and biotechnology companies throughout
the world. CCG has a very strong reputation
for collaborative scientific support,
maintaining support offices in both Europe
and North America. Founded in 1994, CCG is
headquartered in Montreal, Canada.
www.chemcomp.com
Drug Design Facts:
Who should attend this conference:
You should attend this event if you work in
the Pharmaceutical Industry/Academia with
responsibilities in:
• Structural Biology
• Molecular
Informatics
• Drug Design
• CADD
• Molecular Science
• Medicinal Chemistry
• Modeling
• Remodeling
• Medicinal Chemistry
• Receptor Biology
• Discovery Chemistry
• Protein Technologies
• Pharmacology
• Molecular Science
• Crystallography
• Structure and
Informatics
• Molecular
Interaction
• Drug Discovery
and Design
• Screening
Job titles include:
• Computational
Chemist
• Senior Scientist
• Lead Generation
• Research Scientist
• Research Fellow
• In-silico medicinal
chemist
• Research
investigator
This year’s programme places equal
emphasis on CADD, SBDD, FBDD and
pharmacokinetics, polypharmacology and
metabolism. Pharma industry speakers and
leading academics will be sharing their
research, challenges and solutions to issues in
drug design.
We aim to deliver more diversity this year from
big pharma companies to small biotechs, in
addition to renowned academics.
SPONSORSHIP AND EXHIBITION
OPPORTUNITIES
SMi offer sponsorship, exhibition, advertising
and branding packages, uniquely tailored to
complement your company’s marketing strategy.
Prime networking opportunities exist to entertain,
enhance and expand your client base within the
context of an independent discussion specific to
your industry.
Should you wish to join the increasing number
of companies benefiting from sponsoring our
conferences please call:
Alia Malick on +44 (0) 20 7827 6168 or
email: amalick@smi-online.co.uk
6. ADVANCES AND PROGRESS IN DRUG DESIGN
Conference: Monday 16th & Tuesday 17th February 2015, Marriott Hotel Regents Park, London, UK Workshops: Wednesday 18th February 2015, London
FAX your booking form to +44 (0) 870 9090 712
PHONE on +44 (0) 870 9090 711
4 WAYS TO REGISTER
www.drug-design.co.uk
POST your booking form to: Events Team, SMi Group Ltd, 2nd Floor
South, Harling House, 47-51 Great Suffolk Street, London, SE1 0BS, UK
Unique Reference Number
Our Reference LVP-129
DELEGATE DETAILS
Please complete fully and clearly in capital letters. Please photocopy for additional delegates.
Title: Forename:
Surname:
Job Title:
Department/Division:
Company/Organisation:
Email:
Company VAT Number:
Address:
Town/City:
Post/Zip Code: Country:
Direct Tel: Direct Fax:
Mobile:
Switchboard:
Signature: Date:
I agree to be bound by SMi's Terms and Conditions of Booking.
ACCOUNTS DEPT
Title: Forename:
Surname:
Email:
Address (if different from above):
Town/City:
Post/Zip Code: Country:
Direct Tel: Direct Fax:
VENUE Marriott Hotel Regents Park, 128 King Henry's Road, London, NW3 3ST
□ Please contact me to book my hotel
Alternatively call us on +44 (0) 870 9090 711,
email: hotels@smi-online.co.uk or fax +44 (0) 870 9090 712
Terms and Conditions of Booking
Payment: If payment is not made at the time of booking, then an invoice will be issued and must be
paid immediately and prior to the start of the event. If payment has not been received then credit
card details will be requested and payment taken before entry to the event. Bookings within 7 days
of event require payment on booking. Access to the Document Portal will not be given until payment
has been received.
Substitutions/Name Changes: If you are unable to attend you may nominate, in writing, another
delegate to take your place at any time prior to the start of the event. Two or more delegates may
not ‘share’ a place at an event. Please make separate bookings for each delegate.
Cancellation: If you wish to cancel your attendance at an event and you are unable to send a
substitute, then we will refund/credit 50% of the due fee less a £50 administration charge, providing
that cancellation is made in writing and received at least 28 days prior to the start of the event.
Regretfully cancellation after this time cannot be accepted. We will however provide the
conferences documentation via the Document Portal to any delegate who has paid but is unable
to attend for any reason. Due to the interactive nature of the Briefings we are not normally able to
provide documentation in these circumstances. We cannot accept cancellations of orders placed
for Documentation or the Document Portal as these are reproduced specifically to order. If we have
to cancel the event for any reason, then we will make a full refund immediately, but disclaim any
further liability.
Alterations: It may become necessary for us to make alterations to the content, speakers, timing,
venue or date of the event compared to the advertised programme.
Data Protection: The SMi Group gathers personal data in accordance with the UK Data Protection
Act 1998 and we may use this to contact you by telephone, fax, post or email to tell you about other
products and services. Unless you tick here □we may also share your data with third parties offering
complementary products or services. If you have any queries or want to update any of the data that
we hold then please contact our Database Manager databasemanager@smi-online.co.uk or visit
our website www.smi-online.co.uk/updates quoting the URN as detailed above your address on the
attached letter.
□ Book by 31st October to receive £300 off the conference price
□ Book by 28th November to receive £100 off the conference price
EARLY BIRD
DISCOUNT
CONFERENCE PRICES
I would like to attend: (Please tick as appropriate) Fee Total
□ Conference and Workshop £2098.00 +VAT £2517.60
□ Conference only £1499.00 +VAT £1798.80
Workshop only £599.00 +VAT £718.80
PROMOTIONAL LITERATURE DISTRIBUTION
□ Distribution of your company’s promotional
literature to all conference attendees £999.00 + VAT £1198.80
The conference fee includes refreshments, lunch, conference papers, and access to the
Document Portal. Presentations that are available for download will be subject to
distribution rights by speakers. Please note that some presentations may not be available
for download. Access information for the document portal will be sent to the e-mail
address provided during registration. Details are sent within 24 hours post conference.
DOCUMENTATION
I cannot attend but would like to purchase access to the following Document
Portal/paper copy documentation Price Total
□ Access to the conference documentation
on the Document Portal £499.00 + VAT £598.80
□ The Conference Presentations – paper copy £499.00 - £499.00
(or only £300 if ordered with the Document Portal)
PAYMENT
Payment must be made to SMi Group Ltd, and received before the event, by one of
the following methods quoting reference P-129 and the delegate’s name. Bookings
made within 7 days of the event require payment on booking, methods of payment
are below. Please indicate method of payment:
□ UK BACS Sort Code 300009, Account 00936418
□ Wire Transfer Lloyds TSB Bank plc, 39 Threadneedle Street, London, EC2R 8AU
Swift (BIC): LOYDGB21013, Account 00936418
IBAN GB48 LOYD 3000 0900 9364 18
□ Cheque We can only accept Sterling cheques drawn on a UK bank.
□ Credit Card □ Visa □ MasterCard □ American Express
All credit card payments will be subject to standard credit card charges.
Card No: □□□□ □□□□ □□□□ □□□□
Valid From □□/□□ Expiry Date □□/□□
CVV Number □□□□ 3 digit security on reverse of card, 4 digits for AMEX card
Cardholder’s Name:
Signature: Date:
I agree to be bound by SMi's Terms and Conditions of Booking.
Card Billing Address (If different from above):
VAT
VAT at 20% is charged on the attendance fees for all delegates. VAT is also charged on live
Streaming, on Demand, Document portal and literature distribution for all UK customers and
for those EU Customers not supplying a registration number for their own country here.
______________________________________________________________________________________________
If you have any further queries please call the Events Team on tel +44 (0) 870 9090 711 or you can email events@smi-online.co.uk