Leela Dodda's repositories
BigData_AI_DrugDiscovery
A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.
cryptosite
Library for prediction of cryptic binding sites
deeplearning-models
A collection of various deep learning architectures, models, and tips
ESP_DNN
A Graph-Convolutional Deep Neural Network for predicting electrostatic potential surfaces
Free-Wilson
An implementation of the Free-Wilson SAR analysis method using the RDKit
GB-GA
Graph-based genetic algorithm
guacamol_baselines
Baselines models for GuacaMol benchmarks
molecule_generator
Code for "Multi-Objective De Novo Drug Design with Conditional Graph Generative Model" (https://arxiv.org/abs/1801.07299)
moleculekit
MoleculeKit: Your favorite molecule manipulation kit
moses
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
pharmd
MD pharmacophores and virtual screening
RDKit-Cats2D
Modification of the code of Rajarshi Guha (which uses OECHem) to use RDKIT.
rdkit_ipynb_tools
RDKit Tools for the IPython Notebook
REINVENT
Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning
TeachOpenCADD
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
wepy
Weighted Ensemble simulation framework in Python (Mirror of main private development repo. After the main release the development of the project will become public. See the release-features branch for the cutting edge)
YASARA-guide
A guide for the visualization program YASARA