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Author SHA1 Message Date
7c6cef1aef Production docking: prep helps (7.9->4.8A) but Vina wrong tool for sickle
§12.4 pushed to its limit. Meeko ligand prep + in-place symmetry RMSD
(spyrmsd, not obrms) on clean HDAC2/vorinostat: 7.9A -> 4.76A. Prep and
metric mattered, but still FAIL.

Residual cause is fundamental: vorinostat binds via hydroxamate-Zn
chelation and Vina has no metal-coordination term. Real finding: sickle's
druggable targets bind via non-classical chemistry classical docking
handles poorly -- Hb (covalent), PKR (allosteric+cofactor), HDAC (Zn
chelation). Vina is the wrong tool for this target landscape.

Redirect: data-driven AF3-class co-folding (Boltz-2/Chai-1/DiffDock)
handles these modes -- the indicated next tool, gated by the 24GB local
memory ceiling (cloud GPU needed). The "GPU breaks all-local" §12.6
prediction is now the binding constraint of the track.

Adds: scripts/dock_production.py; deps meeko, spyrmsd, gemmi.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 16:38:54 +02:00