Product · Covalent screening

Reaction-aware covalent docking & scoring

BCover ranks covalent ligands by asking the question that matters in covalent drug design: does the compound fit the pocket and adopt a chemically meaningful pre-reactive pose that supports the intended mechanism?

A two-step pipeline pairs constrained pre-reactive docking with quantum-chemistry-informed scoring — Fukui-function reactivity, LM5 entropy, QM transition-state geometry — so rankings carry mechanistic context, not just shape complementarity.

Covalent
Reaction-aware
Quantum scoring
GPU cloud
ROC-AUC
0.85

Reported on 4HCU / ITK from the Covalid benchmark — strong discrimination between covalent binders and decoys.

EF1
30

30× enrichment in the top 1% of the ranked library — the regime where triage decisions actually get made.

Runtime
< 1 min

Per ligand on AWS GPU — fast enough to screen large covalent libraries before synthesis or biochemical follow-up.

Capabilities

Constrained docking, transition-state physics, reactivity-aware ranking — packaged for covalent programs.

F.01

Two-step covalent docking

Pre-reactive constrained docking followed by reaction-aware scoring — separating where the ligand sits from whether it can actually react.

F.02

Reactive residue & warhead detection

Automated identification of nucleophilic residues in the pocket and electrophilic warheads in the ligand, with no manual annotation required.

F.03

Constrained pre-reactive poses

BDocker simulated annealing with a modified MMFF94 force field imposes physically motivated residue–warhead orientation constraints.

F.04

QM transition-state geometry

Reaction geometry informed by high-quality quantum-chemistry transition-state data for major covalent-binding reaction classes.

F.05

Fukui + LM5 entropy scoring

Scoring blends XTB/DFT-supported quantum chemistry, Fukui-function reactivity terms, QM-derived molecular potentials and LM5 entropy.

F.06

Cloud-native GPU deployment

Deployable on AWS with GPU support for scalable screening — fully automated from pocket detection through ranked candidate list.

Workflow

How a BCover screening run reaches its ranked list.

  1. 01Pocket detection around the target site
  2. 02Reactive residue detection in the pocket
  3. 03Automated simulation box setup
  4. 04Ligand warhead detection
  5. 05Constrained pre-reactive docking (BDocker SA + modified MMFF94)
  6. 06Pocket interaction profiling of the pre-reactive state
  7. 07Pose scoring & ligand ranking with QM + LM5 entropy