Saprot: Protein Language Model with Structural Alphabet
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Updated
May 22, 2024 - Python
Saprot: Protein Language Model with Structural Alphabet
Protein Language Model
ProtFlash: A lightweight protein language model
Exploring Evolution-aware & free protein language models as protein function predictors
Implementation of PocketGen: Generating Full-Atom Ligand-Binding Protein Pockets
Directed evolution of proteins in sequence space with gradients
PaccMann models for protein language modeling
Inference code for PoET: A generative model of protein families as sequences-of-sequences
Protein language model trained on coding DNA
An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
Spectral Framework For AI Model Evaluation
Latent-based Directed Evolution guided by Gradient Ascent for Protein Design
In silico protein surgery using ESM.
pLM-informed E(3) equivariant deep graph neural networks for protein-nucleic acid binding site prediction
An ensemble-based approach for prediction of protein S-nitrosylation sites integrating supervised word embedding and embedding from protein language model
AutoML system for building trustworthy peptide bioactivity predictors
Deep Learning tool trained on protein sequence embeddings from protein language models to accurately detect remote homologues for CATH superfamilies
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
Structure-aware adapter fine-tuning PLMs, with high training speed and impressive performance.
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.
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