There are 8 repositories under rdkit topic.
Molecular Processing Made Easy.
Interaction Fingerprints for protein-ligand complexes and more
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
Python for chemoinformatics
Plausibility checks for generated molecule poses.
ScaffoldGraph is an open-source cheminformatics library, built using RDKit and NetworkX, for the generation and analysis of scaffold networks and scaffold trees.
⚛️ RDKit Python Wheels on PyPI. 💻 pip install rdkit
Python for chemoinformatics
Collection of data sets of molecules for a validation of properties inference
Showcase of Redis integration with Python FastAPI framework supported by Pydantic as API backend for RDKit: Open-Source Cheminformatics Software
A Docker-based, cloudable platform for the development of chemoinformatics-centric web applications and microservices.
Draw molecules with plotly!
Lightweight RDKit images for production deployment
Containerised components for cheminformatics and computational chemistry
Variational Autoencoder for Molecules
polyGNN is a Python library to automate ML model training for polymer informatics.
rdKit basics (provided jupyter notebooks are custom curated and will help the users to start working on rdKit)
pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.github.io/paccmann_datasets/
The objective of this work is to develop machine learning (ML) methods that can accurately predict adverse drug reactions (ADRs) using the databases SIDER and OFFSIDES.
Reaction Data and Molecular Conformers (RDMC) is a package dealing with reactions, molecules, conformers, majorly in 3D.