Individual skill
smina-molecular-docking
smina molecular docking CLI. AutoDock Vina fork with customizable scoring functions, native SDF/MOL2/PDB ligand input, autoboxing, local energy minimization, and per-atom score breakdowns. Pipeline: receptor PDBQT prep -> ligand prep (RDKit/OpenBabel) -> dock via autobox or explicit grid -> rescore/minimize with custom scoring -> rank poses by affinity. Choose smina over Vina when you need custom scoring terms (--custom_scoring), local optimization of an existing pose (--local_only), per-atom contributions (--atom_term_data), or SDF/MOL2 ligands without manual PDBQT conversion. For unknown binding sites use diffdock; for the Python-bindings/Vinardo workflow use autodock-vina-docking.
skills/structural-biology-drug-discovery/smina-molecular-docking/SKILL.md
Source commit 55c1bd3e863d11bf5a853d24bcdda10c88e6eddf
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
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- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 387
- Repository last updated
- Nov 4, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agent Repository topic
- bioinformatics Repository topic
- claude-code Repository topic
- claude-plugin Repository topic
- drug-discovery Repository topic
- genomics Repository topic
- life-sciences Repository topic
- scientific-computing Repository topic
- claude-skills Repository topic
- open-source Repository topic
- operations Derived category
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