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Title: GitHub - westlake-repl/SaProt: Saprot: Protein Language Model with Structural Alphabet (AA+3Di) · GitHub

Open Graph Title: GitHub - westlake-repl/SaProt: Saprot: Protein Language Model with Structural Alphabet (AA+3Di)

X Title: GitHub - westlake-repl/SaProt: Saprot: Protein Language Model with Structural Alphabet (AA+3Di)

Description: Saprot: Protein Language Model with Structural Alphabet (AA+3Di) - westlake-repl/SaProt

Open Graph Description: Saprot: Protein Language Model with Structural Alphabet (AA+3Di) - westlake-repl/SaProt

X Description: Saprot: Protein Language Model with Structural Alphabet (AA+3Di) - westlake-repl/SaProt

Opengraph URL: https://github.com/westlake-repl/SaProt

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utilshttps://github.com/westlake-repl/SaProt/tree/main/utils
weights/PLMshttps://github.com/westlake-repl/SaProt/tree/main/weights/PLMs
weights/PLMshttps://github.com/westlake-repl/SaProt/tree/main/weights/PLMs
LICENSEhttps://github.com/westlake-repl/SaProt/blob/main/LICENSE
LICENSEhttps://github.com/westlake-repl/SaProt/blob/main/LICENSE
README.mdhttps://github.com/westlake-repl/SaProt/blob/main/README.md
README.mdhttps://github.com/westlake-repl/SaProt/blob/main/README.md
__init__.pyhttps://github.com/westlake-repl/SaProt/blob/main/__init__.py
__init__.pyhttps://github.com/westlake-repl/SaProt/blob/main/__init__.py
environment.shhttps://github.com/westlake-repl/SaProt/blob/main/environment.sh
environment.shhttps://github.com/westlake-repl/SaProt/blob/main/environment.sh
requirements.txthttps://github.com/westlake-repl/SaProt/blob/main/requirements.txt
requirements.txthttps://github.com/westlake-repl/SaProt/blob/main/requirements.txt
READMEhttps://github.com/westlake-repl/SaProt
MIT licensehttps://github.com/westlake-repl/SaProt
https://github.com/westlake-repl/SaProt#saprot-protein-language-modeling-with-structure-aware-vocabulary-aa3di
https://www.biorxiv.org/content/10.1101/2023.10.01.560349v3
https://huggingface.co/westlake-repl/SaProt_650M_AF2
https://portal.valencelabs.com/blogs/post/saprot-protein-language-modeling-with-structure-aware-vocabulary-uyLPrUZqyDF60Yr
https://zhuanlan.zhihu.com/p/664754366
https://github.com/westlake-repl/SaProt#-note-saprot-35m-and-650m-requires-structural-sa-token-input-for-optimal-performance-its-aa-only-sequence-mode-works-but-should-be-finetuned---its-frozen-embeddings-work-only-for-sa-input-not-aa-sequences-in-contrast-saprot-13b-saprot_13b_af2--saprot_13b_afdb_omg_ncbi-performs-well-with-both-sa-tokens-and-aa-only-sequences-however-with-high-quality-structural-input-saprot-is-expected-to-surpass-esm2-and-its-own-aa-only-mode-in-most-tasks
SaProt: Protein Language Modeling with Structure-aware Vocabularyhttps://openreview.net/forum?id=6MRm3G4NiU
ColabSaprot v2https://colab.research.google.com/github/westlake-repl/SaprotHub/blob/main/colab/SaprotHub_v2.ipynb?hl=en
SaprotHubhttps://huggingface.co/SaProtHub
Gohttps://github.com/westlake-repl/SaprotHub
wet-lab resultshttps://drive.google.com/file/d/1ZcDl0XYksTcUEaCfPI0tuEVo5CA031dg/view
herehttps://x.com/duguyuan/status/1897101692665258245
Newshttps://github.com/westlake-repl/SaProt#News
Overviewhttps://github.com/westlake-repl/SaProt#Overview
Environment installationhttps://github.com/westlake-repl/SaProt#Environment-installation
Prepare the SaProt modelhttps://github.com/westlake-repl/SaProt#Prepare-the-SaProt-model
Model checkpointshttps://github.com/westlake-repl/SaProt#Model-checkpoints
New experimental resultshttps://github.com/westlake-repl/SaProt#New-experimental-results
Load SaProthttps://github.com/westlake-repl/SaProt#Load-SaProt
Hugging Face modelhttps://github.com/westlake-repl/SaProt#Hugging-Face-model
Load SaProt using esm repositoryhttps://github.com/westlake-repl/SaProt#Load-SaProt-using-esm-repository
Convert protein structure into structure-aware sequencehttps://github.com/westlake-repl/SaProt#Convert-protein-structure-into-structure-aware-sequence
Predict mutational effecthttps://github.com/westlake-repl/SaProt#Predict-mutational-effect
Get protein embeddingshttps://github.com/westlake-repl/SaProt#Get-protein-embeddings
Perform protein inverse foldinghttps://github.com/westlake-repl/SaProt#Perform-protein-inverse-folding
Prepare datasethttps://github.com/westlake-repl/SaProt#Prepare-dataset
Pre-training datasethttps://github.com/westlake-repl/SaProt#Pre-training-dataset
Downstream taskshttps://github.com/westlake-repl/SaProt#Downstream-tasks
Pre-train SaProthttps://github.com/westlake-repl/SaProt#Pre-train-SaProt
Fine-tune SaProthttps://github.com/westlake-repl/SaProt#Fine-tune-SaProt
Evaluate zero-shot performancehttps://github.com/westlake-repl/SaProt#Evaluate-zero-shot-performance
Citationhttps://github.com/westlake-repl/SaProt#Citation
https://github.com/westlake-repl/SaProt#news
herehttps://www.nature.com/articles/s41587-025-02859-7
SaprotHubhttps://www.biorxiv.org/content/10.1101/2024.05.24.595648v5
HuggingFace 1.3B-AF2https://huggingface.co/westlake-repl/SaProt_1.3B_AF2
HuggingFace 1.3B-AF2+OMG+NCBIhttps://huggingface.co/westlake-repl/SaProt_1.3B_AFDB_OMG_NCBI
Gohttps://github.com/westlake-repl/SaprotHub
herehttps://github.com/westlake-repl/SaProt#proteingym-benchmark
issue #23https://github.com/westlake-repl/SaProt/issues/23
examplehttps://github.com/westlake-repl/SaProt#predict-mutational-effect
SaProt 35M modelhttps://huggingface.co/westlake-repl/SaProt_35M_AF2
35M residue-sequence-only version of SaProthttps://huggingface.co/westlake-repl/SaProt_35M_AF2_seqOnly
https://github.com/westlake-repl/SaProt#overview
https://github.com/westlake-repl/SaProt/blob/main/figures/pipeline.png
https://github.com/westlake-repl/SaProt#environment-installation
https://github.com/westlake-repl/SaProt#create-a-virtual-environment
https://github.com/westlake-repl/SaProt#install-packages
https://github.com/westlake-repl/SaProt#prepare-the-saprot-model
esm githubhttps://github.com/facebookresearch/esm
https://github.com/westlake-repl/SaProt#model-checkpoints
SaProt_35M_AF2https://huggingface.co/westlake-repl/SaProt_35M_AF2
SaProt_650M_PDBhttps://huggingface.co/westlake-repl/SaProt_650M_PDB
SaProt_650M_AF2https://huggingface.co/westlake-repl/SaProt_650M_AF2
SaProt_1.3B_AFDB_OMG_NCBIhttps://huggingface.co/westlake-repl/SaProt_1.3B_AFDB_OMG_NCBI
https://github.com/westlake-repl/SaProt#new-experimental-results
https://github.com/westlake-repl/SaProt#35m-model
https://github.com/westlake-repl/SaProt#650m--model
https://github.com/westlake-repl/SaProt#alphafold2-vs-esmfold
https://github.com/westlake-repl/SaProt#proteingym-benchmark
checkpointhttps://huggingface.co/westlake-repl/SaProt_650M_AF2
https://github.com/westlake-repl/SaProt/blob/main/figures/proteingym_benchmark.jpg
https://github.com/westlake-repl/SaProt/blob/main/figures/proteingymofficial.png
https://github.com/westlake-repl/SaProt#load-saprot
https://github.com/westlake-repl/SaProt#hugging-face-model
https://github.com/westlake-repl/SaProt#load-saprot-using-esm-repository
esmhttps://github.com/facebookresearch/esm
https://github.com/westlake-repl/SaProt#convert-protein-structure-into-structure-aware-sequence
foldseekhttps://github.com/steineggerlab/foldseek
herehttps://drive.google.com/file/d/1B_9t3n_nlj8Y3Kpc_mMjtMdY0OPYa7Re/view?usp=sharing
https://github.com/westlake-repl/SaProt#predict-mutational-effect
https://github.com/westlake-repl/SaProt#get-protein-embeddings
https://github.com/westlake-repl/SaProt#perform-protein-inverse-folding
https://github.com/westlake-repl/SaProt#prepare-dataset
https://github.com/westlake-repl/SaProt#pre-training-dataset
herehttps://huggingface.co/datasets/westlake-repl/AF2_UniRef50
https://github.com/westlake-repl/SaProt#downstream-tasks
herehttps://drive.google.com/drive/folders/11dNGqPYfLE3M-Mbh4U7IQpuHxJpuRr4g?usp=sharing
https://github.com/westlake-repl/SaProt#pre-train-saprot
pre-training datasethttps://huggingface.co/datasets/westlake-repl/AF2_UniRef50
https://github.com/westlake-repl/SaProt#fine-tune-saprot
https://github.com/westlake-repl/SaProt#record-the-training-process-optional
https://github.com/westlake-repl/SaProt#evaluate-zero-shot-performance
https://github.com/westlake-repl/SaProt#citation
https://github.com/westlake-repl/SaProt#other-resources
Evollahttps://www.biorxiv.org/content/10.1101/2025.01.05.630192v1
online serverhttp://www.chat-protein.com/
ProTrekhttps://www.biorxiv.org/content/10.1101/2024.05.30.596740v2
online serverhttp://search-protrek.com/
Pinalhttps://www.biorxiv.org/content/10.1101/2024.08.01.606258v2
online serverhttp://www.denovo-pinal.com/
SaprotHubhttps://www.biorxiv.org/content/10.1101/2024.05.24.595648v5
online serverhttps://colab.research.google.com/github/westlake-repl/SaprotHub/blob/main/colab/SaprotHub_v2.ipynb?hl=en
protein-structure https://github.com/topics/protein-structure
protein https://github.com/topics/protein
representation-learning https://github.com/topics/representation-learning
protein-sequence https://github.com/topics/protein-sequence
predicted-structures https://github.com/topics/predicted-structures
pretraining https://github.com/topics/pretraining
structure-aware https://github.com/topics/structure-aware
protein-language-model https://github.com/topics/protein-language-model
alphafold2 https://github.com/topics/alphafold2
foldseek https://github.com/topics/foldseek
structural-alphbet https://github.com/topics/structural-alphbet
protein-llm https://github.com/topics/protein-llm
Readme https://github.com/westlake-repl/SaProt#readme-ov-file
MIT license https://github.com/westlake-repl/SaProt#MIT-1-ov-file
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