Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
🧬 gget enables efficient querying of genomic reference databases
User friendly and accurate binder design pipeline
Optimizing AlphaFold Training and Inference on GPU Clusters
Saprot: Protein Language Model with Structural Alphabet (AA+3Di)
Trainable PyTorch framework for developing protein, RNA and complex models.
Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures
#计算机科学#Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
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
Local Interaction Score (LIS) Calculation from AlphaFold-Multimer (Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer)
FrameDiPT: an SE(3) diffusion model for protein structure inpainting
#Awesome#A curated list of awesome self-learning materials in Computational Structural Biology, such as sources, tutorials, etc.
A tool for predicting the effects of missense mutations on protein stability changes upon missense mutation using protein sequence only. PROST uses colab AlhpaFold2 for the prediction of pdb struture ...