PLAPT · AutoDock Vina · RDKit

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.

4
protein targets screened
32
Vina exhaustiveness
0
rule-of-five violations
+2.04
kcal/mol selectivity
Live demonstration

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.

ONCO-01 candidate molecule, 3D stick model
3D conformer · ONCO-01
Candidate under test
ONCO-01FMD-Alpha-01
H₃COOOHOHNNNONH₂
Formula
C₉H₁₄N₄O₅
Weight
258.2 g/mol
Class
Nucleoside
SMILES
COC[C@H]1O[C@@H](n2cnc(C(N)=O)n2)[C@H](O)[C@@H]1O
Discovery console

Multi-target screening

Ligand prep
SMILES → 3D conformer (ETKDG + MMFF)
Receptor grid
Protonate @ pH 7.4 · define binding box
PLAPT pre-screen
Transformer predicts pKd for all targets
Vina docking
Physics search · exhaustiveness 32
Selectivity
Target vs. safety counter-screen
Lipinski audit
Rule-of-five drug-likeness

Press Run screening to dock ONCO-01 against four protein targets and audit its drug-likeness.

How it works

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.

CandidatelibraryPLAPT · AIseconds · rank allVina · Physicsconfirm top hits

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.

SMILEStext input3D prepRDKit · MeekoPLAPTAI pre-screenVinadockingDecisionrank + audit
Nova{bind}

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 →