Medicinal Chemistry
Strategy Meeting East Coast USA 2023

AI/ML
Evaluating the Effectiveness of Computer-Aided Drug Design, Artificial Intelligence and Machine Learning Tools In Fragment-Based Lead Discovery
-Diane Joseph-McCarthy
Executive Director, Bioengineering Technology & Entrepreneurship Center
Boston University

INNOVATIVE AND EMERGING MODALITIES
Building Successful Collaborations in Drug Discovery: Strategies for Effective Partnerships
-Richard Heidebrecht
Vice President and R&D
Glycologix

CHEMICAL BIOLOGY AND UNDRUGGABLES
Utilizing The New Warheads: Strategic Ways Of Developing Targeted Covalent Drugs (Topic TBC)
-Dominic Reynolds
Senior Vice President, Head of Drug Discovery
Remix Therapeutics

HIT IDENTIFICATION / LEAD OPTIMIZATION
Leveraging Predictive Model Techniques To Accelerate Hit-ToLead Optimization (Topic TBC)
-Onur Atasoylu
Director, Head of Computational Chemistry
Incyte

INTEGRATED DRUG DISCOVERY
Discovering New Drug Discovery Endpoints: Challenges And Opportunities
-Alex Nivorozhkin
Chief Scientific Officer
Cybin

DESIGN & SYNTHESIS
Emerging Trends in Medicinal Chemistry: Small Molecule Analog Synthesis and Structure-Activity Relationship (SAR) Strategies
-Richard Heidebrecht
Vice President and R&D
Glycologix

AI/ML
Overcoming Challenges And Achieving Resilience: The Future of Biotech and Biopharma – AI-Guided In Drug Discovery and Development (Topic TBC)

INNOVATIVE AND EMERGING MODALITIES
Evaluation of Strategies for Drug Interaction Assessment To Guide Therapeutic Proteins For Biopharmaceutical Industry (Topic TBC)

CHEMICAL BIOLOGY AND UNDRUGGABLES
Potential Treatment For Rare Diseases: Innovative Techniques To Leverage Molecular Glues To Modify ProteinProtein Interactomes and Interactions (Topic TBC)

HIT IDENTIFICATION / LEAD OPTIMIZATION
Investigating Best Strategies To Accelerate The Progress of Compounds From Hit Identification Into Lead Optimization (Topic TBC)

INTEGRATED DRUG DISCOVERY
Overview of Fragment-Based Drug Discovery for Productivity and Improvement: Is There Panache Behind the Problems? (Topic TBC)

DESIGN & SYNTHESIS
Lipid Nanoparticles (LNPs) in Medicinal Chemistry: Synthesis, Formulation, and Delivery Optimization

AI/ML
Approaches to Drug Design, Development, and Discovery: Looking at Challenges, Limitations, and Benefits for the Pharmaceutical and Biotechnology Industries

INNOVATIVE AND EMERGING MODALITIES
Big Drugs, Little Drugs – Exploring The Power of Large Molecule Improvements In Discovering Novel Drug Therapies

CHEMICAL BIOLOGY AND UNDRUGGABLES
Developing PROTAC Drugs: Fabricating Strategies for DMPK and ADMET To Overcome Challenges And Limitations

HIT IDENTIFICATION / LEAD OPTIMIZATION
Overlooked Components Of Drug Discovery/Optimization That Contributes To Clinical Drug Development Failure Rates: True Target Validation And Current Drug Optimization – Best Approach To Eradicate These Difficulties

INTEGRATED DRUG DISCOVERY
Enabling Scientific Development Towards Goals: Managing And Balancing The Internal And External Drug Development Capabilities

DESIGN & SYNTHESIS
Efficient Hit-to-Lead Design, Synthesis, and Screening Strategies for Drug Discovery

AI/ML
Integrating AI/ML and Deep Learning Tools To Achieve Higher Accuracy For Predicting ADMET and DMPK Properties For Early Phase Drug Development

INNOVATIVE AND EMERGING MODALITIES
The Most Recent Advancements in Small Molecule Drug Design, Development, and Synthesis In Drug Bioavailability

CHEMICAL BIOLOGY AND UNDRUGGABLES
The Effective Designs and Optimization of PROTACs Benefits from Deep Learning and Molecular Simulations

HIT IDENTIFICATION / LEAD OPTIMIZATION
Understanding The Future Of High Throughput Screening And How We Might Be Able To Reach Undruggable Targets

INTEGRATED DRUG DISCOVERY
The Future Of Computer-Aided Drug Design (CADD) In Various Stages Of The Drug Development Pipelines, As Well As Pharma-Technological Advances

DESIGN & SYNTHESIS
Advancements in Chemical Route Exploration and Optimization for Enhanced API Synthesis in Medicinal Chemistry