The RDKit Documentation¶
- An overview of the RDKit
- What is it?
- Functionality overview
- Basics
- The Contrib Directory
- LEF: Local Environment Fingerprints
- M_Kossner
- PBF: Plane of best fit
- mmpa: Matched molecular pairs
- SA_Score: Synthetic assessibility score
- fraggle: A fragment-based molecular similarity algorithm
- pzc: Tools for building and validating classifiers
- ConformerParser: parser for Amber trajectory files
- NP_Score: Natural-product likeness score
- AtomAtomSimilarity: atom-atom-path method for fragment similarity
- Footnotes
- License
- Installation
- Getting Started with the RDKit in Python
- What is this?
- Reading and Writing Molecules
- Working with Molecules
- Substructure Searching
- Chemical Transformations
- Maximum Common Substructure
- Fingerprinting and Molecular Similarity
- Descriptor Calculation
- Chemical Reactions
- Chemical Features and Pharmacophores
- Molecular Fragments
- Non-Chemical Functionality
- Getting Help
- Advanced Topics/Warnings
- Miscellaneous Tips and Hints
- List of Available Descriptors
- List of Available Fingerprints
- Feature Definitions Used in the Morgan Fingerprints
- License
- The RDKit Book
- RDKit Cookbook
- The RDKit database cartridge