protein-language-model
There are 42 repositories under protein-language-model topic.
westlake-repl/SaProt
Saprot: Protein Language Model with Structural Alphabet (AA+3Di)
THUDM/ProteinLM
Protein Language Model
ISYSLAB-HUST/ProtFlash
ProtFlash: A lightweight protein language model
zaixizhang/PocketGen
Implementation of PocketGen: Generating Full-Atom Ligand-Binding Protein Pockets
ml4bio/Dense-Homolog-Retrieval
Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval
westlake-repl/SaprotHub
SaprotHub: Making Protein Modeling Accessible to All Biologists
NREL/EvoProtGrad
Directed evolution of proteins in sequence space with gradients
elttaes/Revisiting-PLMs
Exploring Evolution-aware & free protein language models as protein function predictors
westlake-repl/ProTrek
ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning
OpenProteinAI/PoET
Inference code for PoET: A generative model of protein families as sequences-of-sequences
labstructbioinf/pLM-BLAST
Detection of remote homology by comparison of protein language model representations
PaccMann/paccmann_proteomics
PaccMann models for protein language modeling
oxpig/CaLM
Protein language model trained on coding DNA
THUDM/MSAGPT
MSAGPT
HySonLab/LatentDE
Latent-based Directed Evolution guided by Gradient Ascent for Protein Design
mims-harvard/SPECTRA
Spectral Framework For AI Model Evaluation
dohlee/antiberty-pytorch
An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
Bhattacharya-Lab/EquiPNAS
pLM-informed E(3) equivariant deep graph neural networks for protein-nucleic acid binding site prediction
IBM/AutoPeptideML
AutoML system for building trustworthy peptide bioactivity predictors
elliothershberg/interactive-mutation-browser
In silico protein surgery using ESM.
tyang816/SES-Adapter
Structure-aware adapter fine-tuning PLMs, with high training speed and impressive performance (Journal of Chemical Information and Modeling 2024).
KCLabMTU/pLMSNOSite
An ensemble-based approach for prediction of protein S-nitrosylation sites integrating supervised word embedding and embedding from protein language model
bioinfodlsu/phage-host-prediction
Published in PLOS ONE. Phage-host interaction prediction tool that uses protein language models to represent the receptor-binding proteins of phages. It presents improvements over using handcrafted sequence properties and eliminates the need to manually extract and select features from phage sequences
vam-sin/CATHe
Deep Learning tool trained on protein sequence embeddings from protein language models to accurately detect remote homologues for CATH superfamilies
yutanagano/sceptr
Simple Contrastive Embedding of the Primary sequence of T cell Receptors
dohlee/abyssal-pytorch
Implementation of Abyssal, a deep neural network trained with a new "mega" dataset to predict the impact of an amino acid variant on protein stability.
OpenProteinAI/openprotein-python
Simple python interface for the OpenProtein.AI REST API.
bioinfodlsu/PHIStruct
Phage-host interaction prediction tool that incorporates protein structure information in representing receptor-binding proteins (RBPs). It improves performance especially for phages with RBPs that have low sequence similarity to those of known phages
ShubhrangshuGhosh2000/mat_p2ip_prj
Contains code for the paper "MaTPIP: a deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction"
dohlee/deepab-pytorch
An unofficial re-implementation of DeepAb, an interpretable deep learning model for antibody structure prediction.
dohlee/proteinbert-pytorch
Implementation of ProteinBERT, a deep language model designed for proteins.
KCLabMTU/LMCrot
Protein Language Model (pLM) Powered Protein Crotonylation (Kcr) Modified Site Predictor
KYQiu21/plmrepeat
Exploiting sequence representations derived from protein language models for repeat identification
KCLabMTU/LMSuccSite
Improving Protein Succinylation Sites Prediction Using Features Extracted from Protein Language Model
salvatoreloguercio/cov2vec
cov2vec is a systematic effort to obtain SARS CoV-2 genome embeddings by encoding viral genomes with protein language models.