Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing

The official implementation of the AAAI'24 paper Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer.

PyTorch code for KDD 2023 paper "Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design"

Official implementation of Generative Diffusion Models for Antibody Design, Docking, and Optimization.

Antibody-specific masked language model

Guiding diffusion models for antibody sequence and structure co-design with developability properties.

Source code of the paper "Protein Sequence and Structure Co-Design with Equivariant Translation"

SMSBoom - Deprecate: Due to judicial reasons, the repository has been suspended!

🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org

List of papers about Proteins Design using Deep Learning

Generative Language Modeling for Antibody Design

Sanguosha (三国杀, a.k.a. Legend of Three Kingdoms, LTK) written in Qt and Lua.

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model (NeurIPS 2023 Poster)

SurfGen: Learning on Topological Surface and Geometric Structure for 3D Molecular Generation

Making Protein Design accessible to all via Google Colab!

E(3) equivariant graph neural network for PPI site prediction

[Cell Research] Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant

Implementation for SE(3) diffusion model with application to protein backbone generation

✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)

ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

Graphormer is a general-purpose deep learning backbone for molecular modeling.

实现文字点选、选字、选择、点触验证码识别，基于pytorch训练