bioRxivJClub
Expansion of DNA-Encoded Library Hits Using Generative Chemistry and Ultra-Large Compound Catalogs
bioRxiv · · Preprint · Open access
Novy, Lin + 9 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
AI-driven virtual screening expands DEL hits, identifying 14 compounds with IC50 values ≤ 100 μM, enhancing chemical diversity and drug-likeness.
- Why it matters: Limited chemical space coverage and drug-likeness in DNA-encoded libraries hinder efficient hit expansion, restricting drug discovery progress.
- What they did: Researchers integrated validated DEL data with generative AI to explore and expand chemical space, screening ultra-large libraries and identifying purchasable, diverse compounds.
- The result: The approach yielded novel, commercially available hits with improved drug-like properties, demonstrating a rapid, scalable platform for hit expansion in drug discovery.
The findingWhy it mattersWhat they didThe result
- Open access