Combining DNA encoded libraries with machine learning to accelerate drug discovery

This webinar will offer highlights of various DNA encoded library (DEL) technologies with a focus on DNA recorded technologies applied to machine learning (ML). Discover how Anagenex combines their ML model with an iterative learning loop of lab experiments, to produce a feedback mechanism that is designed to create a robust drug discovery process. This significantly accelerates the process of drug discovery at a fraction of the price of non-DEL routes by allowing researchers to explore a vast chemistry space, and create effective screening models.

Key learning objectives

  • Learn how building high quality DELs and understanding what information your DNA sequence provides you is important to combining DEL and ML.
  • Understand how DEL and ML enable the creation of iterative libraries that enhance results.
  • Discover how DEL and ML can identify high quality chemical matter for challenging targets.

Who should attend?

  • Companies and academic groups focusing on DEL.
  • Companies and academic groups wanting to learn how to implement DEL technologies and how to couple DEL with machine learning.

Certificate of attendance

All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.

Speakers

Joe Franklin
Joe Franklin
Anagenex</p>
Cameron Smith-Craig
Cameron Smith-Craig
Associate Editor, SelectScience

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