A Database for Large-Scale Docking and Experimental Results

database[Title] 2025-04-26

Summary:

The rapid expansion of readily accessible compounds over the past six years has transformed molecular docking, improving hit rates and affinities. While many millions of molecules may score well in a docking campaign, the results are rarely fully shared, hindering the benchmarking of machine learning and chemical space exploration methods that seek to explore the expanding chemical spaces. To address this gap, we develop a website providing access to recent large library campaigns, including...

Link:

https://pubmed.ncbi.nlm.nih.gov/40273444/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=12QQbiNmM99eUQGIX1JjHIKcROC1Vzv4sOS-2S_LNI19uG_Yrk&fc=20220129225649&ff=20250426033923&v=2.18.0.post9+e462414

From feeds:

📚BioDBS Bibliography » database[Title]

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Authors:

Brendan W Hall, Tia A Tummino, Khanh Tang, Olivier Mailhot, Mar Castanon, John J Irwin, Brian K Shoichet

Date tagged:

04/26/2025, 03:39

Date published:

04/24/2025, 06:00