There are 7 repositories under virtual-screening topic.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.
active learning for accelerated high-throughput virtual screening
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Official repository for the Deep Docking protocol
pythonic interface to virtual screening software
RxDock is a fork of rDock. Note: the latest code is under development. Please do git checkout patched-rdock after clone if you want patched rDock. [IMPORTANT NOTE: pull requests should be posted on GitLab, this is a read-only source code mirror]
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
rDock is a fast and versatile Open Source docking program that can be used to dock small molecules against proteins and nucleic acids. It is designed for High Throughput Virtual Screening (HTVS) campaigns and Binding Mode prediction studies.
Lo-Hi Splitter for Modern Splits of Molecular Datasets
All in one Structure-Based Virtual Screening workflow based on the concept of consensus docking.
DENOPTIM is a software package for de novo design and virtual screening of functional molecules of any kind.
HIPPOS Is PyPLIF On Steroids. A Molecular Interaction Fingerprinting Tool for Docking Results of Autodock Vina and PLANTS
Improving Structure-Based Virtual Screening with Ensemble Docking and Machine Learning
screenlamp is a Python toolkit for hypothesis-driven virtual screening
Open-source protein-based pharmacophore modeling software
Automated framework for the curation of chemogenomics data and to develop QSAR models for virtual screening using the open-source KNIME software
V2DB (Virtual 2D Materials Database): the code for generating and predicting the novel 2D materials by virtual screening.
Open source code for DyScore
Extract Molecular SMILES embeddings from language models pre-trained with various objectives architectures.
Open-Sourced. Millions of small molecules will be downloaded from the ZINC database in 3D SDF file format, with one click, to get ready for a large scale virtual screening for certain protein target.
Datasets used in the tox21 challenge
A pipeline to do virtual screening
QSAR models and putative agents identified against SARS-CoV-2
Generate customized voxel representations of protein-ligand complexes using GPU.
A toolkit for predicting the binding mode of small molecules interacting with proteins based on interfacial rigidification, as assessed by graph theoretic constraint counting on the covalent and noncovalent bond network. Raschka et al. (2016) Proteins: Structure, Function, and Bioinformatics
Virtual screening on PriA-SSB and RMI-FANCM with the LifeChem library
The official repository for the CBM paper "Deep Reinforcement Learning Enables Better Bias Control in Benchmark for Virtual Screening".
This repository contains all the course materials that are used in the "Chemo-informatics and computational drug design" course teaches at the University of Antwerp (Belgium)
PDB-CAT aims to automatically categorize the mmCIF PDB structures based on the type of interaction between atoms in the protein and the ligand, and checking for any mutations in the sequence.