Article

Applying Protein Language Models Using Limited Dataset. Sequence-Based Hot Spot Prediction in Protein Interactions Using AutoGluon

2024-01-05

Abstract excerpt

<h4>Background: </h4> Protein language models, inspired by the success of large language models in deciphering human language, have emerged as powerful tools for unraveling the intricate code of life inscribed within protein sequences. They have gained significant attention for their promising applications across various areas, including the sequence-based prediction of secondary and tertiary protein structure, th...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8356afc1-3a51-5af5-9dee-af1f7dda37a6
DOI: 10.21203/rs.3.rs-3830911/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Applying Protein Language Models Using Limited Dataset. Sequence-Based Hot Spot Prediction in Protein Interactions Using AutoGluonDOI 10.21203/rs.3.rs-3830911/v1Read

Pretrained protein language models choose between sequence novelty and structural completenessSemantic proximity Read

Learning the language of protein-protein interactions.Semantic proximity Read

P 3: A Framework for Predicting Protein-Protein Interactions Using Large Language ModelsSemantic proximity Read

Learning the language of protein-protein interactionsSemantic proximity Read

Interpreting Protein Language Models: high attention sites predict functional regionsSemantic proximity Read

ProBASS – a language model with sequence and structural features for predicting the effect of mutations on binding affinitySemantic proximity Read

Paying Attention to Attention: High Attention Sites as Indicators of Protein Family and Function in Language ModelsSemantic proximity Read

InstructPLM: Aligning Protein Language Models to Follow Protein Structure InstructionsSemantic proximity Read

A flaw in using pre-trained pLLMs in protein-protein interaction inference modelsSemantic proximity Read

ProtSyntax: a protein large language model for decoding post-translational modification syntax and functionSemantic proximity Read

MetalTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in Protein Metal-Binding Sites.Semantic proximity Read