Docking, without force-field parameterisation
Pose and affinity for any ligand in any published pocket. Covalent warheads, metal-site geometry, bridging waters, kinetics, and flexible side-chain refinement — in one studio, no force field to fit.
Pose and affinity for any ligand in any published pocket. Covalent warheads, metal-site geometry, bridging waters, kinetics, and flexible side-chain refinement — in one studio, no force field to fit.
The docking engine evaluates every pose on pre-computed physics grids — van der Waals, electrostatics, hydrogen bonding, desolvation — then optimises locally and clusters by RMSD. The same pass returns interaction type counts, affinity with a thermodynamic breakdown, and estimated kon / koff from the activation barrier. No force field to tune; same numbers on the same SMILES every time.
One studio for pose, affinity, kinetics, and the chemistry that lives inside the pocket.
Genetic search for global pose space plus local optimisation on the top candidates, clustered by RMSD. Multi-conformer ensemble option for flexible ligands.
ΔG = ΔH − TΔS + ΔGsolv. Every term is reported — van der Waals, electrostatic, H-bond, desolvation, conformational entropy, translational / rotational penalty.
Hydrogen bonds, salt bridges, hydrophobic contacts, π-stacking, cation-π, halogen bonds — with geometric criteria and per-residue contributions.
Michael addition, acylation, disulfide, vinyl sulfone, epoxide chemistries. Returns bond energy plus the effective Ki.
Detects Zn, Fe, Mg, Cu, and other metal centres, identifies coordinating residues, and reports the coordination geometry.
Finds water-mediated hydrogen-bond bridges between ligand and pocket — the interactions structure-based tools often miss.
Rotamer-library sweep on residues within 5 Å of the ligand, re-scored per iteration. Rigid pocket by default, opt-in flexible.
kon, koff, and residence time from the activation-barrier estimate — useful for slow-off-rate drug design programmes.
From a SMILES and a PDB to a ranked pose set in one workflow.
PDB in, grids out. Pre-compute the van der Waals, electrostatic, H-bond donor / acceptor, and desolvation grids around the binding site.
Single conformation from the SMILES, or a multi-conformer ensemble for flexible ligands ranked by score.
Genetic search across the binding-box translation and orientation space. Scoring by trilinear interpolation on the pre-computed grids.
L-BFGS-B local optimisation on the top candidates. Hierarchical RMSD clustering returns one representative per mode.
Hydrogen bonds, salt bridges, hydrophobic, π-stacking, cation-π, halogen bonds — per pose, with per-residue attribution.
Full ΔG breakdown plus kon / koff / residence time. Export CSV / JSON / PDB poses or hand off to Workspace.
Deterministic physics, auditable formulas, and honest scope.
Head-to-head against the common sources of docking poses and affinities.
| Metric | FluxMateria | AutoDock Vina | FEP / MM-PBSA | ML scoring |
|---|---|---|---|---|
| Training / fitting required | None | Force-field parameters | Force-field parameters | Thousands of poses |
| Pose search | Genetic + L-BFGS-B | Iterated local search | Usually reuses pose | Rescoring only |
| Interaction profile built-in | 6 types + metal + water | Limited | Limited | Not provided |
| Covalent warheads | 5 chemistries | Custom | Manual | Not provided |
| Kinetics (kon / koff) | Built-in | Not provided | Separate workflow | Not provided |
| Bridging waters | Detected automatically | No | Explicit modelling | No |
| Runtime per ligand | Sub-minute pose set | Sub-minute | Hours | Milliseconds (rescore) |
| Out-of-distribution behaviour | Degrades gracefully | Force-field-limited | Force-field-limited | Confidently wrong |
The key insight: Classic docking is fast but depends on hand-tuned force fields. Free-energy methods are accurate but take hours per ligand. ML rescoring is fast but only as good as the poses someone else generated. FluxMateria docks on first-principles physics grids, profiles the full interaction pattern, and returns affinity + kinetics in one pass — without a force-field fit anywhere in the pipeline. See FluxTarget for the MoA context →
Workflows where the pocket chemistry is as important as the pose.
Michael acceptors, acyl fluorides, vinyl sulfones — pick the warhead, let the engine score pose and bond energy, rank by effective Ki.
Detects the metal site and reports coordination geometry, so ligands are evaluated in the chemistry that actually sits in the pocket.
Pockets where the crystal water is the key interaction. Bridging-water detection surfaces the ligands that keep it versus the ones that displace it.
kon / koff / residence time per pose, useful for the kinetics-driven discovery programmes where slow-off-rate is the goal.
GPCRs and kinases with mobile side chains. 5 Å flexible refinement pass re-scores the top poses with the correct rotamers.
When FluxTarget flags an off-target of interest, open it in Docking to confirm the pose and affinity before chasing it into the lab.
Real captures from the live application. Click any image to zoom.




Pilot access includes Docking, FluxTarget, the ADMET suite, and a Workspace seat to keep every run auditable.