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Looking to improve your understanding of core concepts in computational drug discovery? Get practical insights on finding and optimizing drug candidates? Sign up to learn from OpenEye's expert scientists at no cost to you. The first lecture in Essentials of Computational Drug Discovery starts on September 10, 2024. Don't miss it. Register now.
About Essentials of Computational Drug Discovery:
OpenEye’s Essentials of Computational Drug Discovery is a comprehensive four-part series designed to equip you with essential skills in computational drug design. This series delves into fundamental concepts and industry best practices across various stages in the drug discovery process. You’ll gain proficiency in ligand- and structure-based modeling, binding affinity calculations, and how to compare and evaluate methodologies. You will explore practical applications of diverse methodologies and receive valuable information on finding and optimizing drug candidates. The insights in this course are provided in digestible chunks and can be applied to your projects immediately. Our expert instructors, with extensive experience in industrial drug discovery, will guide you through this learning experience.
A four-part series (second Tuesday of every month at 11am ET):
- Tues Sep 10, 2024 - Essentials of Ligand-Based Design
- Tues Oct 15, 2024 - Essentials of Structure-Based Design
- Tues Nov 12, 2024 - Essentials of Affinity Prediction in Lead Optimization
- Tues Dec 10, 2024 - Essentials of Method Comparison and Decision Making
Who should attend:
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- Computational chemists interested in overview and best practices
- Medicinal chemists interested in broadening their professional skills
- Graduate students and post-docs preparing for a transition from academia to industry
What you will learn from this course:
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- Gain an overview of methodologies most commonly used in computational drug discovery.
- Understand the differences between ligand- and structure-based modeling.
- Learn about the benefits (and limitations) of affinity prediction techniques in lead optimization.
- Obtain best practices and practical tips for using modeling techniques in your research.
About our instructors:
Paul Hawkins, PhD, is a product evangelist at OpenEye. Paul is passionate about improving drug discovery modeling through the use of proper statistics and selecting the right techniques for solving the problems at hand. Trained as a synthetic chemist, Paul insists that good modeling software should provide chemically-aware results to be useful in drug discovery. He combines a balance of background theory with practical application examples for insightful learning.
Christopher Neale, PhD, is the head of the Affinity development team at OpenEye. Prior to joining OpenEye, Chris was at Los Alamos National Lab conducting cutting-edge research in simulations. During this time, he also mentored graduate students and postdocs. Many would describe one of Chris’s superpowers as his ability to explain complex theories and methods in relatable applications for non-expert scientists. He is excited to share his knowledge to empower the audience attending the Essentials series.
What this course is not about:
This course will not make you an expert computational chemist or cheminformatician.
Ask questions and discuss topics online:
Join the OpenEye's Academic Network Group on LinkedIn to share, learn, and discuss topics covered in this course with the instructors and your peers.
Questions? Contact us at customersuccess@eyesopen.com