Stars
Message Passing Neural Networks for Molecule Property Prediction
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
Optimized Generative Adversarial Network with Graph Convolutional Networks for Novel Molecule Design
Implementation of the Paper "Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical Representations" by Robin Winter, Floriane Montanari, Frank Noe and Djork-A…
A deep learning model for small molecule drug discovery and cheminformatics based on SMILES
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Generative Adversarial Network: Optimization in Targeted Design
adalke / mmpdb
Forked from rdkit/mmpdbA package to identify matched molecular pairs and use them to predict property changes.
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Data and code for the ProLIF paper
Calculation of interatomic interactions in molecular structures
Plausibility checks for generated molecule poses.
Interaction Fingerprints for protein-ligand complexes and more
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Contributed and additional nodes for maize
A Deep Neural Network to predict small molecule torsion energy profiles with the accuracy of QM
Extremely fast Query Engine for DataFrames, written in Rust
Working with ChEMBL Data Web Services to retrieve data.
nizamibilal / MD-TASK
Forked from RUBi-ZA/MD-TASKTool suite for analysing molecular dynamics trajectories using network analysis and PRS
Official Python client for accessing ChEMBL API
📓 eLabFTW is the most popular open source electronic lab notebook for research labs.