2024年のディナーショートコース*(対面形式のみ)

創薬化学学会(Drug Discovery Chemistry)におけるショートコースは、特定分野に関する詳細な情報を提供し、全体を通して質疑応答の機会が与えられているなど、教育的かつ双方向的なものとなっています。
このコースには、この分野に初めて触れる人やもっと学びたい人向けの概説や、本会議の発表時間内では十分な時間が取れなかった、より技術的な側面に関する説明が含まれています。
講師は産業界・学会から選出された人々で、その多くがこの分野での権威と認められているか、豊富な指導体験があります。

ディナーショートコースは4月1日(月)の夕方と、4月3日(水)の夕方に、対面形式でのみ開催されます。

* 追加料金または別途登録が必要です。

2024年4月1日(月)  6:00 - 8:30 pm

SC1: Protein Degraders: A Beyond Rule of Five Space and in vitro ADME Perspective

This course focuses on proteolysis targeting chimeras (PROTACs) and will cover topics relevant to developing them as oral therapeutics. Topics to be covered in this first part of the course will include their physicochemical properties and how these influence solubility and permeability and assays to determine polarity. We will also examine ADME topics focusing on in vitro assays including stability assays, transporters, drug-drug interactions (DDIs), Cytochrome P450 (CYP450) inhibition, etc.

Instructors:

John Erve, PhD, President, Jerve Scientific Consulting

Matthias Wittwer, PhD, Project Leader, DMPK-PD, Pharmaceutical Sciences, Roche Pharma


Topics to be Covered:       

  • Comparison of Rule of 5 and Beyond Rule of 5 space
  • Importance of intramolecular hydrogen bonds for solubility and permeability
  • Determining chameleonicity and its importance for PROTACs
  • In vitro assays to measure key ADME features of degraders
  • Pitfalls and points to consider when assessing degrader's ADME features
  • Linking in vitro to in vivo findings in terms of PK and PD

Who Should Attend:

Scientists in the field of proteolysis-targeting chimeras (PROTACs) who would like to deepen their understanding of these molecules and the physicochemical attributes that may contribute to their success as oral drugs. ADME scientists and medicinal chemists wishing to understand PROTACs from a drug safety and metabolism perspective. Graduate students and academic scientists interested in learning more about this rapidly developing new drug modality.

INSTRUCTOR BIOGRAPHIES:

John Erve, PhD, President, Jerve Scientific Consulting

John Erve is from Chicago and studied Chemistry (BS, MS) at the University of Chicago and earned a PhD in Toxicology at Oregon State University. Following postdoctoral work at Vanderbilt (1995-1999) he joined BD-Biosciences (Woburn, MA) as a Study Director. In 2002, he joined AstraZeneca (Sweden) where he characterized reactive metabolites. In 2004 he joined Wyeth (Collegeville, PA) as a Principal Scientist responsible for metabolite identification. In 2010, John joined Novartis (Cambridge, MA) as a Lab Head in Analytical Sciences. John returned to drug metabolism at Elan Pharmaceuticals (San Francisco, CA) in 2012 and later formed Jerve Scientific Consulting, Inc to help small biotech companies in the Bay area with their drug discovery efforts. John was a certified D.A.B.T. from 2004 to 2019.

Matthias Wittwer, PhD, Project Leader, DMPK-PD, Pharmaceutical Sciences, Roche Pharma

Matthias Wittwer received his PhD in pharmaceutical sciences from the University of Basel in 2010. After a postdoctoral stay at the University of California, San Francisco (UCSF) in the laboratory of Kathy Giacomini, he started his industry career in 2013 at Bayer Pharma in Germany as a lab head and project leader in the department of Research Pharmacokinetics. In 2016, Matthias moved into a new role as drug metabolism and pharmacokinetics (DMPK) lab head and project leader for development projects at Bayer before joining Roche as DMPK and pharmacodynamics (PD) project leader in 2017. He works mostly on small molecule projects, driving their DMPK optimization and contributing to the successful development of novel drugs in different therapeutic areas.

SC2: Fragment-Based Drug Design: Advancing Tools and Technologies

This course aims to introduce the fundamentals of Fragment-Based Lead Discovery (FBLD) to attendees. The first section will focus on the concepts of using fragments for hit generation. Special emphasis will be placed on practical pitfalls and the many ways to advance fragments to leads and drugs. The second part of the course will discuss the variety of fragment screening methods and when they are best applied. The composition of fragment libraries will also be discussed in detail. The attendees should come away from this course with a solid understanding of what FBLD is and how to apply it.

Instructors:

Daniel A. Erlanson, PhD, Senior Vice President, Innovation and Discovery, Frontier Medicines Corporation

Ben J. Davis, PhD, Research Fellow, Biology, Vernalis R&D Ltd.


Topics to be Covered:

  • Pros and cons of fragment-based approaches 
  • What makes a good fragment; properties of a good fragment library 
  • Finding, validating, and characterizing low-affinity ligands 
  • The importance of using orthogonal screening methods
  • What to do with a fragment-growing, linking, and more

INSTRUCTOR BIOGRAPHIES:

Daniel A. Erlanson, PhD, Senior Vice President, Innovation and Discovery, Frontier Medicines Corporation

Dr. Daniel A. Erlanson is the VP of Chemistry for Frontier Medicines, which is using covalent fragments, machine learning, and chemoproteomics to target proteins often thought undruggable. Prior to Frontier he co-founded Carmot Therapeutics, where he contributed to two clinical-stage molecules. Before Carmot, Dr. Erlanson spent a decade developing fragment-based discovery technologies and leading medicinal chemistry projects at Sunesis Pharmaceuticals. Dr. Erlanson was an NIH postdoctoral fellow with James A. Wells at Genentech, earned his PhD in chemistry from Harvard University in the laboratory of Gregory L. Verdine, and his BA in chemistry from Carleton College. He has co-edited two books on fragment-based drug discovery and is an inventor on more than a dozen issued patents and an author of more than forty scientific publications. He also runs a blog devoted to fragment-based drug discovery, Practical Fragments (http://practicalfragments.blogspot.com/).

Ben J. Davis, PhD, Research Fellow, Biology, Vernalis R&D Ltd.

Dr. Ben Davis is a Research Fellow at Vernalis Research, a biotech company based in Cambridge UK which has been at the forefront of fragment-based approaches since 1998. An NMR spectroscopist and biophysicist by training, his current research focus is the development of biophysics and FBLD methods for challenging therapeutic targets and systems. Dr Davis studied for his PhD in protein folding and molecular interactions with Professor Alan Fersht at Cambridge University, and then studied the interactions of small molecules with proteins and RNA. He has over 20 years’ experience in the drug discovery industry. He has contributed to seven books over the last decade and is an author on more than forty scientific publications. He is a frequent speaker at scientific conferences and has been running FBLD training workshops since 2007.

SC3: Fundamentals of Generative AI for Drug Discovery

Deep generative modeling is rapidly transforming de novo drug discovery, streamlining the entire process. This course aims to explain the potential of AI, machine learning, and generative AI models in creating tailored molecules with specific properties. It explores the fundamentals of Variational Autoencoders (VAE), Generative Adversarial Networks (GAN), Transformers, Large Language Models (LLMs), BERT, and GPT models in the context of drug discovery, highlighting their crucial role in reshaping the pharmaceutical landscape. This course is designed for medicinal chemists, molecular modeling users, and project managers seeking to harness the capabilities of modern Generative AI concepts and integrate them into their work.

Instructors:

Parthiban Srinivasan, PhD, Professor, Data Science and Engineering, Indian Institute of Science Education and Research, Bhopal

Petrina Kamya, PhD, Head of AI Platforms and President, Insilico Medicine, Canada


Topics to be Covered: 

  •  Demystifying generative AI concepts and key terminologies 
  •  How generative AI works in de novo molecular design 
  •  Predictive AI for ADME properties 
  •  Overview of large language models (LLMs) 
  •  Leveraging language models in drug discovery research with a case study

Who Should Attend:

This course is designed for medicinal chemists, molecular modeling users, and project managers seeking to harness the capabilities of modern Generative AI concepts and integrate them into their work.

INSTRUCTOR BIOGRAPHIES:

Parthiban Srinivasan, PhD, Professor, Data Science and Engineering, Indian Institute of Science Education and Research, Bhopal

Parthiban Srinivasan, an experienced data scientist, earned his PhD from Indian Institute of Science, specializing in Computational Chemistry. After his PhD, he continued the research at NASA Ames Research Center (USA) and Weizmann Institute of Science (Israel). Then he worked at AstraZeneca in the area of Computer Aided Drug Design for Tuberculosis. Later, he headed informatics business units in Jubilant Biosys and then in GvkBio before he floated the company, Parthys Reverse Informatics and later an AI consultancy, Vingyani. Currently, he is a Professor at Indian Institute of Science Education and Research (IISER) Bhopal, teaching Data Science.

Petrina Kamya, PhD, Head of AI Platforms and President, Insilico Medicine, Canada

Petrina Kamya, PhD, is the Head of AI Platforms and President of Insilico Medicine, Canada an end-to-end artificial intelligence-driven drug discovery company. Before joining Insilico, Dr. Kamya spent eight years in various roles at Chemical Computing Group that involved scientific and business-related aspects of preclinical drug discovery. In addition to establishing the corporate strategy for the sales and business development of molecular modeling software for academia, she also played an active role as an application scientist working on real-world discovery projects and finally in a senior role in strategy and business development for pharma and biotech companies. Following her time at CCG, Petrina moved to Certara as a Market Access Manager, where she learned first-hand the challenges of getting drugs to market. Petrina has been with Insilico Medicine since August 2020. She holds a PhD in Chemistry (specializing in computational chemistry) from Concordia University.

SC4: DNA-Encoded Libraries

This course provides an overview of DNA-Encoded Library (DEL) screening platforms, discusses common selection strategies for identifying novel hits from DEL campaigns and delves into parameters for building a library collection. The instructors will also cover strategic considerations in using DEL selection data to accelerate hit-to-lead steps in drug discovery.
6:00 pm

Instructors

Svetlana Belyanskaya, PhD, former Vice President, Biology, Anagenex

6:00 pm null

Ghotas Evindar, PhD, Senior Vice President, Head of Drug Discovery, 1859, Inc.


Topics to be Covered:

  • Introduction to DNA-encoded libraries
  • Pros and cons of using DNA-encoded chemical libraries
  • Structure of the DNA coding region and how it has evolved over a period of time
  • Affinity-based selection strategy and how this could guide hit picking
  • Data analysis and the decision-making logic in hit confirmationIntroduction to one-bead, one-compound (OBOC) 
  • DNA-encoded libraries
  • Additional benefits of the new platform

INSTRUCTOR BIOGRAPHIES:

Svetlana Belyanskaya, PhD, former Vice President, Biology, Anagenex

Dr. Belyanskaya is accomplished scientific leader in the field of small molecule drug discovery and an expert in DNA encoded library platform. She was involved in the development of DEL platform for 20 years. Svetlana has made significant contributions to the design and development of the DEL technology at Praecis Pharmaceuticals and, later, at GlaxoSmithKline. She was instrumental in discovering first DEL-sourced molecule to progress into clinical trials, a potent and selective inhibitor for enzyme soluble epoxide hydrolase (hsEH). At GSK, Svetlana successfully led team of scientists on multiple scientific programs. Svetlana has deep expertise in biochemistry, molecular biology, cell biology and very passionate about future development of DEL technology with goal to find novel quality leads that bring value for the treatment of diseases with unmet medical needs

Ghotas Evindar, PhD, Senior Vice President, Head of Drug Discovery, 1859, Inc.

Before recently joining 1859 Inc, Ghotas was VP and head of drug discovery at Exo Therapeutics in Watertown, MA. He has authored well over 50 publications and patents in the area of drug discovery and is committed to education surrounding DNA-encoded library (DEL) technology, leading a number of DEL roundtable discussions and courses over the last several years. He was born and raised in the Kurdish mountains before migrating to Canada. He completed his undergraduate and MSc degrees at the University of Waterloo, concentrating on synthesis and structure-activity studies of aureobasidins. He then joined Vertex Pharmaceuticals, in Cambridge, as a medicinal chemist. While at Vertex, he was instrumental in the success of P38 MAP Kinase (first and second generation), ICE-1 inhibitors (second generation), and early ZAP-70 programs. After four years at Vertex, and four clinical candidates, he moved to the University of Toronto to pursue a PhD degree in organic chemistry with focus on “Novel Approaches to Synthesis of Nitrogen Containing Heterocycles”. After completing his PhD with Dr. Robert Batey, he moved back to the Boston area to join Praecis Pharmaceuticals as a staff scientist. There he led the medicinal chemistry sphingosine-1-phosphate (S1P) receptor agonist discovery program and contributed to the inception of the novel DEL platform. Praecis was acquired by GlaxoSmithKline in 2007 and Ghotas began a 12-year journey with DNA-encoded library technology (ELT) platforms, including portfolio, library and selection design, data analysis, Hit ID, and H2L medicinal chemistry. In early 2019, Ghotas moved to Exo Therapeutics where he continues his adventures in small molecule drug discovery.

2024年4月3日(水)  6:15 - 8:45 pm

SC5: Protein Degraders: An in vivo ADME and Safety Perspective

This course focuses on proteolysis targeting chimeras (PROTACs) and will cover topics relevant to developing them as therapeutics. Topics to be covered in this second part of the course will include looking at what is known about how PROTACs are metabolized in vivo and strategies to deliver them with adequate PK/PD. The unique mechanism of action of PROTACs gives rise to some drug safety issues not seen in small molecules, which will be discussed. Finally, we will explore the possible relevance of circadian rhythm to protein degradation and PROTACs.

Instructors:

Donglu Zhang, PhD, Principal Scientist, Genentech Inc.

John Erve, PhD, President, Jerve Scientific Consulting


Topics to be Covered:        

  • In vivo ADME properties of PROTACs
  • Delivery of PROTACs
  • PROTAC PK-PD correlation
  • Safety issues unique to PROTACs
  • Circadian rhythm considerations

Who Should Attend:

Scientists in the field of proteolysis-targeting chimeras (PROTACs) who would like to deepen their understanding of these molecules and the physicochemical attributes that may contribute to their success as oral drugs. ADME scientists and medicinal chemists wishing to understand PROTACs from a drug safety and metabolism perspective. Graduate students and academic scientists interested in learning more about this rapidly developing new drug modality.

INSTRUCTOR BIOGRAPHIES:

Donglu Zhang, PhD, Principal Scientist, Genentech Inc.

Donglu Zhang is a Senior Fellow in DMPK at Genentech. He is interested in applying drug metabolism studies in drug design and development of both small molecule, protein degraders, and antibody-drug conjugates (ADC) drugs. He has done numerous human mass balance studies, investigated pharmacokinetic drivers for efficacy of modalities, designed drug delivery approaches, and involved in IND, NDA/BLA submissions. He received the Sir James Black Award for discovery of and original research on Eliquis from British Pharmacological Society (2018), and the Ondetti and Cushman Award for invention of mass defect filtering method (MDF) from Bristol-Myers Squibb (2007). He has co-authored 130 peer-reviewed articles. He received his Ph.D. in Organic Chemistry from University of Utah.

John Erve, PhD, President, Jerve Scientific Consulting

John Erve is from Chicago and studied Chemistry (BS, MS) at the University of Chicago and earned a PhD in Toxicology at Oregon State University. Following postdoctoral work at Vanderbilt (1995-1999) he joined BD-Biosciences (Woburn, MA) as a Study Director. In 2002, he joined AstraZeneca (Sweden) where he characterized reactive metabolites. In 2004 he joined Wyeth (Collegeville, PA) as a Principal Scientist responsible for metabolite identification. In 2010, John joined Novartis (Cambridge, MA) as a Lab Head in Analytical Sciences. John returned to drug metabolism at Elan Pharmaceuticals (San Francisco, CA) in 2012 and later formed Jerve Scientific Consulting, Inc to help small biotech companies in the Bay area with their drug discovery efforts. John was a certified D.A.B.T. from 2004 to 2019.

SC6: Principles of Drug Design: Ligand-Receptor Interactions and More

This course provides an overview of protein-ligand interactions and drug design principles. The presentation is targeted to medicinal chemists. The course starts by covering hydrophobic, H-bonding and electrostatic interactions. Then the course moves into coverage of specialized topics such as conformation analysis, pi-stack, cation-pi, halogen bonding, protein-protein interface, and covalent inhibition. Medicinal chemistry case studies are incorporated.

Instructor:

Maricel Torrent, PhD, Principal Research Scientist, Computational Drug Discovery, AbbVie, Inc.


Topics to be Covered:

  • Medicinal chemistry and structure-based drug design principles
  • Interpretation of atomic-level protein X-ray and modeled structures of binding mode
  • Understanding the relative amounts of potency gain from different types of interactions
  • Case studies to illustrate all the design strategies

INSTRUCTOR BIOGRAPHIES:

Maricel Torrent, PhD, Principal Research Scientist, Computational Drug Discovery, AbbVie, Inc.

Accomplished Molecular Modeler with 20+ years of experience in Drug Discovery. Primary strengths in Computer-Aided Drug Design - both structure-based and ligand-based - as well as data mining and analysis. An inspiring leader, sought mentor & coach, fun team player, and creative co-inventor with proven results across various top 10 pharmaceutical companies - Merck, Abbott, AbbVie. Dynamic international speaker and presenter at numerous scientific conferences across the globe. Co-author of more than 80 peer-reviewed scientific articles; two book chapters.

SC7: Chemical Biology for Covalent Discovery, Phenotypic Screening, and Target Deconvolution

This course is designed to provide an overview and best practices in the use of chemical biology probes and assays that have been developed for applications in early drug discovery. Chemists and biologists working in lead generation, assay development, phenotypic screening, target discovery and deconvolution, target engagement, and mechanism-of-action (MoA) studies will all benefit from attending this course. The instructors will share their knowledge and expertise around the use of various technologies and chemistries, and there will be time for open discussion and exchange of ideas.

Instructors:

Paul Brennan, PhD, Professor, Nuffield Department of Medicine, University of Oxford

Brent Martin, PhD, Vice President, Chemical Biology, Scorpion Therapeutics

Andrew Zhang, PhD, Director, Chemical Biology, AstraZeneca


Topics to be Covered:         

  • Chemical biology assays and probes for target engagement and mechanistic understanding
  • Chemoproteomic methods and reagents for covalent ligand drug discovery
  • Comparison of various chemical biology approaches (mass spectrometry, affinity-bead methods, thermal profiling, and more) 
  • Use of quantitative mass spectrometry-based proteomics and global proteomics
  • Cysteine profiling and covalent inhibitors for target discovery and occupancy
  • Design and screening of chemogenomics libraries for target identification
  • Case studies highlighting use of proteomics for target engagement and deconvolution

INSTRUCTOR BIOGRAPHIES:

Paul Brennan, PhD, Professor, Nuffield Department of Medicine, University of Oxford

Paul Brennan received his PhD in organic chemistry from UC Berkeley. Following post-doctoral research at Cambridge University, Paul spent eight years working in the pharmaceutical industry at Amgen and Pfizer. In 2011, Paul joined the Structural Genomics Consortium at the University of Oxford. Over the course of his career, Paul has worked on most major drug classes of drug targets: kinases, GPCRs, ion-channels, metabolic enzymes, and epigenetic proteins. Paul is currently Professor of Medicinal Chemistry and CSO of the Alzheimer’s Research UK Oxford Drug Discovery Institute in the Centre for Medicines Discovery at the University of Oxford. His research is focused on finding new treatments for dementia.

Brent Martin, PhD, Vice President, Chemical Biology, Scorpion Therapeutics

Brent Martin received his Ph.D. in Pharmacology at the University of California in San Diego developing new chemical strategies for correlated fluorescence and electron microscopy. He then carried out postdoctoral studies at the Scripps Research Institute developing new strategies for activity-based profiling, high-throughput screening, and chemical proteomics. As faculty member at the University of Michigan in Ann Arbor, he continued expanding the scope of activity-based profiling methods, while also establishing new bioconjugation reactions to detect and profile protein lipidation, redox modifications, and cysteine occupancy. Brent is the recipient of the NCI Howard Temin K99/R00 award in Cancer Research, the NIH Director’s New Innovator Award, and the NIGMS MIRA Established Investigator Award. He then moved to industry to lead the Chemical Biology at Janssen and is currently Vice President and Head of Chemical Biology at Scorpion Therapeutics.

Andrew Zhang, PhD, Director, Chemical Biology, AstraZeneca

Andrew Zhang is a Team Leader in the Chemical Biology Department at AstraZeneca. He joined AstraZeneca in 2013 with research interests in target deconvolution, particularly using chemical proteomics and orthogonal methods for identifying target engagement events and profiling selectivity. He is now leading the proteomics efforts around profiling the selectivity and mechanism of small molecule protein degraders. Andrew trained at the interface of chemistry and molecular and cell biology, obtaining a B.S. in Chemistry and a B.A. in Molecular and Cell Biology from the University of California, Berkeley, followed by Ph.D. studies with Professor David Spiegel at Yale University around small molecule immunomodulators. Prior to joining AstraZeneca, Andrew carried out postdoctoral trainings with the Drug Discovery Group at the Ontario Institute for Cancer Research (Toronto, Canada) with Dr. Rima Al-awar.

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更新履歴
2024/02/08
スポンサー更新
2024/01/17
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