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Protein Language Model

Use of protein language models in protein property prediction

Papers

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Showing 26–50 of 73 papers

TitleStatusHype
tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificityCode0
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent SpaceCode1
AntiFold: Improved antibody structure-based design using inverse foldingCode2
Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering—0
Detection of circular permutations by Protein Language ModelsCode0
AMPCliff: quantitative definition and benchmarking of activity cliffs in antimicrobial peptidesCode0
DisorderUnetLM: Validating ProteinUnet for efficient protein intrinsic disorder prediction—0
On Recovering Higher-order Interactions from Protein Language ModelsCode0
Application of Quantum Tensor Networks for Protein Classification—0
Diffusion on language model encodings for protein sequence generation—0
ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular ModelingCode2
A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration—0
Diffusion Language Models Are Versatile Protein LearnersCode3
ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation—0
Decoupled Sequence and Structure Generation for Realistic Antibody DesignCode0
Structure-Informed Protein Language ModelCode1
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein—0
CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding ResiduesCode0
Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language modelCode1
Protein Language Model-Powered 3D Ligand Binding Site Prediction from Protein Sequence—0
ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learningCode0
ProPath: Disease-Specific Protein Language Model for Variant Pathogenicity—0
PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream ApplicationsCode1
ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model—0
Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex PredictionCode0
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