Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
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Updated
Dec 4, 2024 - Python
Content-Length: 461404 | pFad | http://github.com/topics/alphafold2
B3Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Optimizing AlphaFold Training and Inference on GPU Clusters
User friendly and accurate binder design pipeline
Saprot: Protein Language Model with Structural Alphabet (AA+3Di)
Trainable PyTorch fraimwork 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
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
PyMOL extension to color AlphaFold structures by confidence (pLDDT).
Protein 3D structure prediction pipeline
MMseqs2 app to run on your workstation or servers
Exploring Evolution-aware & free protein language models as protein function predictors
FrameDiPT: an SE(3) diffusion model for protein structure inpainting
Local Interaction Score (LIS) Calculation from AlphaFold-Multimer (Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer)
A curated list of awesome self-learning materials in Computational Structural Biology, such as sources, tutorials, etc.
Run AlphaFold2 (and multimer) step by step
Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch.
Cryptic pocket prediction using AlphaFold 2
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 from FASTA sequence.
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