Charting a Path Through Billion-Compound Virtual Screening
- Commentary piece examining the rapid growth of make-on-demand virtual compound libraries, now spanning tens of billions of molecules, and the practical challenges this scale poses for computational screening.
- Discusses how researchers prioritize and search these vast chemical spaces efficiently, weighing computational cost against the risk of overlooking promising hits.
- Considers how such large-scale screening approaches fit into early-stage hit-finding workflows in drug discovery.
💡 Points
Scale for its own sake buys nothing if the scoring function can't discriminate at that volume — past a few hundred million compounds, enrichment from most current physics or ML scorers plateaus fast. This piece is refreshingly honest that the triage problem isn't solved; given how thin the specifics are, that caution is the most I'd take from it right now.