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

User friendly and accurate binder design pipeline

🧬 gget enables efficient querying of genomic reference databases

Saprot: Protein Language Model with Structural Alphabet (AA+3Di)

Optimizing AlphaFold Training and Inference on GPU Clusters

Trainable PyTorch framework for developing protein, RNA and complex models.

Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.

Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures

Trainable AlphaFold implementation in JAX

PyMOL extension to color AlphaFold structures by confidence (pLDDT).

MMseqs2 app to run on your workstation or servers

Protein 3D structure prediction pipeline

Exploring Evolution-aware & free protein language models as protein function predictors

A curated list of awesome self-learning materials in Computational Structural Biology, such as sources, tutorials, etc.

Modelling protein conformational landscape with Alphafold

FrameDiPT: an SE(3) diffusion model for protein structure inpainting

[𝐧𝐚𝐭𝐮𝐫𝐞 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞] ImmunoStruct enables multimodal deep learning for immunogenicity prediction

Run AlphaFold2 (and multimer) step by step

A C, C++, Python project focusing on Docking analysis, Source code, Blogs, Data availability, References.

Cryptic pocket prediction using AlphaFold 2