A look at how Conifer Point's computational methods — and BMaps — move programs forward across kinases, protein design, and challenging disease targets.
Three fast rounds of information — structure-biased virtual screening, analog-by-catalog search, and med-chem — advanced an original library hit into a potent, selective SIK series. Published in PNAS (2022).
Using ProteinMPNN with interaction conservation between cycles, we improved a designed binder's predicted affinity across three iterations — retaining the residues responsible for key interactions.
Benchmarking showed BMaps water maps are comparably accurate to commercial software while being delivered through an interactive, web-based platform at lower cost — the best water maps broadly available at scale.
Engaged on a Gates Foundation (BMGF) grant, Conifer Point applied fragment mapping and virtual screening to natural-product hit identification across six infectious-disease targets — part of broad work spanning HBV, TB, malaria, and SARS-CoV-2.
Browse the target classes and disease areas our fragment-based platform has modeled — from kinases and ion channels to pathogen proteins across HIV, malaria, and SARS-CoV-2.
Tell us about your target and we'll show you where the fragments bind.