coot-best-practices
Best Practices for using Coot MCP
coot-unmodelled-blobs
How to handle Unmodelled Density Blobs
coot-rdkit
RDKit molecular manipulation and visualization within Coot's Python environment. Use when working with Coot and need to (1) Create RDKit molecules from Coot monomers, (2) Modify molecular structures (e.g., atom substitution), (3) Generate 2D chemical structure diagrams, (4) Perform cheminformatics operations on ligands or small molecules loaded in Coot.
coot-model-building
Best Practices for Model-Building Tools and Refinement
coot-NCS-reference-guidance
NCS Reference Guidance
coot-refinement
Best practices for protein structure refinement and validation in Coot. Use when performing (1) Residue refinement operations, (2) Model building and fitting, (3) Rotamer fixing, (4) Scripted/automated refinement workflows, (5) Validation and correlation checking.
coot-correlations
Using Density-Fit Correlations in Coot
coot-figure-making
Best practices for creating publication-quality molecular graphics figures in Coot using user-defined colors, ribbons, and molecular representations
pdbe-api
Query the PDBe (Protein Data Bank in Europe) REST API and Solr search API from within Coot to access structure metadata, validation data, revision history, and search capabilities
coot-validation
Comprehensive structure validation combining model-to-map analysis and unmodeled density detection