Product · Docking

Docking with quantum-grade pose physics.

BDocker pairs a patented simulated-annealing pose optimiser with an ultra-fast scoring kernel parallelised across H100, H200 and B200 GPUs — running classic and quantum backends side by side.

Quantum-enhanced entropy, H-bond and salt-bridge modelling, explicit water networks and a sharper pKa predictor lift pose ranking and AUC where it actually matters for hit selection.

Docking
SA optimiser
Multi-GPU
Quantum-enhanced
Pose ranking
R² 0.4

Pose-level correlation lifted by quantum entropy and explicit solvation — the regime where classical scoring functions plateau.

Hit triage
AUC 0.8

Discrimination between binders and decoys benchmarked on program-relevant datasets — strong enough to take into synthesis decisions.

Capabilities

Classical advantage with quantum-inspired physics, packaged for your screening pipeline.

F.01

Patented SA pose optimiser

Simulated-annealing pose search built on BEIT's patented optimiser — beats commercial solvers on QPLib benchmarks and explores conformational space more thoroughly than greedy heuristics.

F.02

Smart pose transitions

Physics-aware transition moves let the sampler escape local minima quickly, surfacing physically meaningful binding modes instead of plausible-looking artifacts.

F.03

Ultra-fast scoring kernel

Tight, vectorised scoring implementation keeps the inner loop GPU-saturated so libraries that used to take days finish in hours.

F.04

Multi-GPU execution

Parallelised across H100, H200 and B200 generations through the NVIDIA Inception Program — scales linearly across a single node or a cluster.

F.05

Quantum-enhanced physics

Quantum entropy via BW2 captures ligand librations in the pocket; quantum-modelled H-bonds and salt bridges sharpen pose ranking and AUC.

F.06

Explicit waters, MMFF94, better pKa

Explicit water networks, MMFF94 force field, and a sharper pKa predictor give the protonation states and pocket geometry your medicinal chemists expect.

Workflow

How a BDocker campaign runs end-to-end.

  1. 01Prepare target & assign protonation states
  2. 02Enumerate ligand conformers & poses
  3. 03Run patented SA pose optimisation
  4. 04Apply quantum-enhanced rescoring inline
  5. 05Rank poses with explicit-water physics
  6. 06Export ranked library & per-pose diagnostics