New computational methods enable screening of 100-billion-molecule libraries for drug discovery
Researchers have developed two complementary computational frameworks—CombiDOCK and MINT-Dock—capable of screening over 100 billion drug-like molecules for potential therapeutic targets in a fraction of the time previously required. Conventional docking methods would take over 50 years to screen libraries of this size, while CombiDOCK completes exhaustive screening within 40 days and MINT-Dock achieves comparable results with 20-fold further computational savings. The advance could significantly accelerate early-stage drug discovery by making ultra-large chemical libraries practically accessible to researchers.
Make-on-demand chemical libraries available for drug discovery have surpassed 100 billion compounds, but conventional computational docking methods cannot screen them at scale—requiring an estimated 50-plus years on 2,000 CPU cores. To address this bottleneck, researchers developed CombiDOCK, a combinatorial docking framework that screens the full 100-billion-molecule space exhaustively within 40 days, and MINT-Dock, a generative framework that integrates CombiDOCK with Monte Carlo Tree Search to navigate the space even more efficiently. Benchmarked across 46 diverse biological targets, CombiDOCK matched the accuracy of conventional full-molecule docking, while MINT-Dock achieved a 4,800-fold enrichment over random compound selection. In prospective head-to-head comparisons against prior billion-scale brute-force campaigns targeting the sigma-2 receptor, VMAT2, and VAChT, CombiDOCK screens of the 100-billion library produced higher hit rates and more potent ligands. MINT-Dock achieved comparable outcomes for both single- and multi-target objectives at more than 20-fold lower computational cost. Docking-predicted binding poses for the best VAChT-targeting compounds were independently validated by cryo-EM structural data, lending experimental support to the computational predictions. The authors position these methods as a foundation for eventually navigating trillion-molecule chemical spaces.
What's missing
The study is a preprint posted to bioRxiv and has not yet undergone peer review, so findings should be interpreted with appropriate caution. The paper does not fully detail the false-positive rates or downstream wet-lab hit confirmation rates beyond the VAChT cryo-EM validation, leaving open questions about how well docking scores translate to experimental potency across all 46 targets. The generalizability of MINT-Dock to target classes outside those tested remains to be established.
What different sources said
- bioRxivCenter
Combinatorial docking and molecular generation to navigate over 100-billion molecules for prospective ligand discovery
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