haomingcs Goto Github PK
Name: Ming Hao, Ph.D.
Type: User
Name: Ming Hao, Ph.D.
Type: User
Biological sequence clustering tool with dynamic threshold
Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions
ATTRACT program suite for macromolecular docking (protein-protein, protein-nucleic acid, protein-peptide)
:microscope: Path to a free self-taught education in Bioinformatics!
Experiment script of ICLR MLDD 2023 paper
Perform probe-guided blind docking with FTMap and DOCK6
predicting peptide-protein interactions
Re-scoring a set of docked ligands with off-the-shelf algorithms to assess utility in virtual screening
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Graph Network for protein-protein interface
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
A package for MD, Docking and Machine learning drug discovery pipeline
A Consensus Docking Plugin for PyMOL
Deep Site and Docking Pose (DSDP) is a blind docking strategy accelerated by GPUs, developed by Gao Group. For the site prediction part, several modifications are introduced to PUResNet program. The pose sampling part is similar as AutoDock Vina combined with a number of modifications.
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
FABind: Fast and Accurate Protein-Ligand Binding (NeurIPS 2023)
A PyMOL Plugin for calculating docking box for LeDock, AutoDock and AutoDock Vina.
A deep learning framework for molecular docking
Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
idock is a multithreaded virtual screening tool for flexible ligand docking for computational drug discovery.
Interpretable Progressive Transfer Learning for Peptide-Protein-Specific Interaction Profiling based on Biological Sequence Pragmatic Analysis
LABODOCK: A Colab-Based Molecular Docking Tools
LaBOX: A Grid Box Calculation Tool for Molecular Docking
Comprehensive library for fast, GPU accelerated molecular gridding for deep learning workflows
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.