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Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
Open source code for AlphaFold.
AlphaFold2 non-docker setup
科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持自定义函数插件,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力,新增PDF和Word文献批量总结功能/PDF论文全文翻译功能
A neural based approach to the task of genetic codon optimization
Making Protein folding accessible to all!
An evolutionary context-integrated deep learning framework for protein engineering
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
ColabFold on your local PC
Listing of papers about machine learning for proteins.
Generative Models for Graph-Based Protein Design
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
List of papers about Proteins Design using Deep Learning
Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures
PRIME Model (under review)
Official release of the ProGen models
Code for our paper "Protein sequence design with a learned potential"
Code for the ProteinMPNN paper
Official implementation of SaProt.
Sassena — X-ray and neutron scattering calculated from molecular dynamics trajectories using massively parallel computers
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
An open-source platform for developing protein models beyond AlphaFold.
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.