chemistry-interaction-inventory-of-the-modelled-complex
SolidUse at study design, analysis and writing when the result is a modelled or predicted molecular complex — a docked pose, a co-folded assembly, a binding interface — and RMSD, DockQ or lDDT is about to be the whole answer. Covers the reference-versus-prediction contact inventory per interaction class, the pocket-cropped figure with the interactions drawn, and the mechanism sentence.
Install
Quality Score: 85/100
Skill Content
Details
- Author
- tangxiangru
- Repository
- tangxiangru/AutoR
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- NOASSERTION
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
review-clinical-ddi-study
Reviews clinical drug-interaction study reports for design adequacy, result integrity and coverage against in-vitro triggers. It records the mechanism and index drug and flags mismatches, assesses whether the design could detect the effect it sought, extracts every geometric mean ratio with its confidence interval and classifies it against magnitude bands transcribed from the guidance in force, and separates inconclusive studies from negative ones. Use it to review a dedicated interaction study, check which triggered signals received a study, or reconcile a reported ratio against a summary or label. Example: "Review a dedicated interaction study, check which triggered signals received a study." Do not use for in-vitro package review, for management strategy or label wording, for re-analysing individual data, or to judge whether an exposure change is clinically significant.
diffdock
DiffDock and DiffDock-L molecular docking. Use for protein-small-molecule pose prediction from PDB or sequence plus SMILES/SDF/MOL2, batch docking, virtual screening, and pose-confidence interpretation. Not for binding affinity prediction.
diffdock
DiffDock and DiffDock-L molecular docking. Use for protein-small-molecule pose prediction from PDB or sequence plus SMILES/SDF/MOL2, batch docking, virtual screening, and pose-confidence interpretation. Not for binding affinity prediction.