AI·Jul 7, 2026, 4:00 AM

APEX: Approximate-but-exhaustive search for ultra-large combinatorial synthesis libraries

Source: arXiv cs.LG

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APEX: Approximate-but-exhaustive search for ultra-large combinatorial synthesis libraries

arXiv:2510.24380v2 Announce Type: replace Abstract: Make-on-demand combinatorial synthesis libraries (CSLs) like Enamine REAL have significantly enabled drug discovery efforts. However, their large size presents a challenge for virtual screening, where the goal is to identify the top compounds in a library according to a computational objective (e.g., optimizing docking score) subject to computational constraints under a limited computational budget. For current library sizes -- numbering in the tens of billions of compounds -- and scoring functions of interest, a routine virtual screening cam

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