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Name: kehan liu
Type: User
Name: kehan liu
Type: User
Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.
Protein 3D Structure Prediction with DeepFold
A deep learning package for many-body potential energy representation and molecular dynamics
Graph Network for protein-protein interface
Graph Network for protein-protein interface including language model features
An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
A geometric deep learning method for refining and assessing protein complex structures.
A convolutional neural network model to predict spatial charge map (SCM) score, a molecular dynamics simulation-based model to predict antibody viscosity.
DeepSoluE
DeepSP is an antibody-specific surrogate CNN model that can generate 30 spatial properties of an antibody solely based on their sequences.
DeepUMQA: Ultrafast Shape Recognition-based Protein Model Quality Assessment using Deep Learning
RNA sequence design for a target protein sequence
✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model (NeurIPS 2023 Poster)
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)
A Euclidean diffusion model for structure-based drug design.
DiscoTope-3.0: Improved B-cell epitope prediction using AlphaFold2 modeling and inverse folding latent representations
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"
Fast and accurate protein structure prediction
DNA plotting library for Python
DNA plasmid editing - written in python
Dock2D: Synthetic datasets for the molecular recognition problem
RMIT Capstone 2020 DockNet Training Code
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.