Lightweight Python utility for calculating Solvent Accessible Surface Area (SASA) and pLDDT confidence metrics for AlphaFold2 protein binding pockets.
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Updated
Aug 8, 2026 - Python
Lightweight Python utility for calculating Solvent Accessible Surface Area (SASA) and pLDDT confidence metrics for AlphaFold2 protein binding pockets.
Headless molecular visualization and structural biophysics skill for AI agents. Generates publication renders, AlphaFold pLDDT maps, binding pockets, alignments, and web dashboards via PyMOL and OSMesa.
Agent skill and pipeline to retrieve, analyze, and visualize AlphaFold predicted structures with interactive 3D WebGL, pLDDT metrics, and PAE domain heatmaps in Canvas.
A measured benchmark of structure prediction confidence, reporting pLDDT calibration against lDDT, the physical validity of predicted structures, and what docking into a predicted receptor costs against docking into the crystal structure it was built from.
AlphaFold and PDB confidence and geometry quality gate. Fixed the clash detector flagging every normal peptide bond as a false steric clash on real full-atom structures (the demo's CA-only fixture never exposed it).
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