Molecular Processing Made Easy.
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Updated
May 20, 2026 - Python
Molecular Processing Made Easy.
3D pharmacophore signatures and fingerprints
A package to identify matched molecular pairs and use them to predict property changes.
The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io
Some useful RDKit functions
Interface for AutoDock, molecule parameterization
Molecule Validation and Standardization
ChEMBL database structure pipelines
molfeat - the hub for all your molecular featurizers
a molecular descriptor calculator
Adds or removes hydrogen atoms to achieve the appropriate molecular protonation state for a user-specified pH range
Consensus pharmacophore for Drug Design
Generate Simple Pharmacophore Models with RDKit
Plausibility checks for generated molecule poses.
The official sources for the RDKit library
3D ligand-based pharmacophore modeling
Interaction Fingerprints for protein-ligand complexes and more
Descriptor computation(chemistry) and (optional) storage for machine learning
Open-source tool to generate 3D-ready small molecules for virtual screening
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