A NumPy port of the foldseek code for encoding protein structures to 3di.

Colab Notebooks covering deep learning tools for biomolecular structure prediction and design

Chai-1, SOTA model for biomolecular structure prediction

open source code for Tencent tFold

A list of manuscripts/tools using diffusion on biological enttieis

List of papers about Proteins Design using Deep Learning

Foundation Models for Genomics & Transcriptomics

🧬 ManyFold: An efficient and flexible library for training and validating protein folding models

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

SSHFS For Windows

Protein-Protein Interaction prediction using a deep RNN-based neural network architecture.

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Blender 3D add-on for computing tension maps

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Get protein embeddings from protein sequences

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019