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Protein Language Model

Use of protein language models in protein property prediction

Papers

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Showing 1–25 of 73 papers

TitleStatusHype
AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity RankingCode1
Protein Design with Dynamic Protein Vocabulary—0
Structure-Aligned Protein Language ModelCode2
Leveraging Protein Language Model Embeddings for Catalytic Turnover Prediction of Adenylate Kinase Orthologs in a Low-Data RegimeCode0
ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings—0
Customizing Spider Silk: Generative Models with Mechanical Property Conditioning for Protein Engineering—0
Chem42: a Family of chemical Language Models for Target-aware Ligand Generation—0
ExPath: Towards Explaining Targeted Pathways for Biological Knowledge Bases—0
InfoBridge: Mutual Information estimation via Bridge Matching—0
Simulating 500 million years of evolution with a language modelCode7
Comprehensive Assessment of BERT-Based Methods for Predicting Antimicrobial PeptidesCode0
Learning to engineer protein flexibilityCode1
Pre-trained protein language model for codon optimization—0
Multi-Scale Representation Learning for Protein Fitness PredictionCode1
DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction—0
Expert-guided protein language models enable accurate and blazingly fast fitness predictionCode1
High fitness paths can connect proteins with low sequence overlap—0
Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection LayersCode1
Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language ModelCode2
Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic SupervisionCode1
DPLM-2: A Multimodal Diffusion Protein Language ModelCode3
Fine-tuning the ESM2 protein language model to understand the functional impact of missense variantsCode0
DrugTar Improves Druggability Prediction by Integrating Large Language Models and Gene OntologiesCode0
Approximating mutual information of high-dimensional variables using learned representations—0
Peptide Sequencing Via Protein Language Models—0
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