AI that reads a molecule and finds its target.
A binding-affinity engine that pairs a transformer pre-screen (PLAPT) with physics-based molecular docking (AutoDock Vina) to triage drug candidates in minutes, not weeks.
Screen a candidate in real time
The console below runs the platform's real result set for candidate ONCO-01, a Foot-and-Mouth Disease antiviral that re-profiled into an oncology lead.

COC[C@H]1O[C@@H](n2cnc(C(N)=O)n2)[C@H](O)[C@@H]1OMulti-target screening
Press Run screening to dock ONCO-01 against four protein targets and audit its drug-likeness.
Two engines, one verdict
The hybrid method
A transformer (PLAPT) ranks every candidate against every target in seconds. Physics-based docking (Vina) then confirms only the promising hits, you get the speed of AI with the rigour of a force field.
From string to shortlist
A candidate enters as a one-line SMILES string, is built into a 3D conformer, screened, docked, ranked against a safety counter-screen, and audited for drug-likeness, fully automated and auditable end to end.
A concept demonstration of an AI-assisted drug-discovery workflow. The full brochure walks through the science, the targets, and where the platform goes next.
Open the brochure →