Expose RDKit APIs through Python for molecular analysis workflows.
npx skills add https://github.com/schneidermu/agent-dotfiles --skill rdkit-schneidermu
Please help me install this Agent Skill. Skill: rdkit Source: https://github.com/schneidermu/agent-dotfiles/tree/main/codex-skills/rdkit Command: npx skills add https://github.com/schneidermu/agent-dotfiles --skill rdkit-schneidermu
RDKit provides a Python-based cheminformatics toolkit that enables researchers and developers to read and write molecular structures, compute descriptors, generate fingerprints, perform substructure searches, simulate chemical reactions, and visualize molecules in a programmable workflow.
Import RDKit, read a SMILES string into a Mol, and compute basic descriptors.
High-intent search queries and answers about installing and using this skill.
To calculate molecular descriptors from SMILES strings, you parse the SMILES into a Mol object and compute properties like MW, LogP, and TPSA programmatically. This enables rapid drug-likeness evaluation across compound libraries.
Substructure searching with SMARTS patterns involves loading target molecules and querying them against defined motifs to detect matches. This allows automated identification of specific functional groups within large datasets.
Yes, you can generate Morgan, RDKit, or AllChem fingerprints to enable similarity searching and clustering. These fingerprints quantize structural features for quantitative comparison between molecules.
RDKit supports reading and writing SMILES, MOL, InChI, PDB, and block formats with sanitization and robust error checks. This ensures reliable molecular I/O and conversion across cheminformatics workflows.
Simulating chemical reactions with atom mapping uses reaction transforms to model chemical changes programmatically. This approach tracks atom correspondence through transformations for precise reaction modeling.
Generating 2D and 3D coordinates for visualization involves computing spatial positions and optimizing structures. This renders molecule images for reports and enables spatial analysis in computational chemistry.
shushuznComputes cheminformatics features and transformations from molecular structures using RDKit APIs.
OwnLabAIWrap RDKit with a Pythonic API for molecular conversion, standardization, and descriptors.
PetriLahdelmaGuide analytics, data processing, and ML modeling with pandas and scikit-learn.
robotlearning123Analyze and manipulate molecular structures with RDKit for cheminformatics operations.
