Article

Post-Translational Modification Prediction via Prompt-Based Fine-Tuning of a GPT-2 Model

2024-04-01

Abstract excerpt

<title>Abstract</title> <p>Post-translational modifications (PTMs) are pivotal in modulating protein functions, influencing key cellular processes such as signaling, localization, and protein degradation. The complexity of these biological interactions necessitates efficient predictive methodologies. In this work, we introduce PTMGPT2, an interpretable protein language model that utilizes prompt-based fine-tuning...

Topics

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

Identifiers and source

Literature Corpus work: 50534145-222c-51bd-a498-6486762adcac
DOI: 10.21203/rs.3.rs-4194361/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Post-Translational Modification Prediction via Prompt-Based Fine-Tuning of a GPT-2 ModelDOI 10.21203/rs.3.rs-4194361/v1Read

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

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

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

Multi-Modal CLIP-Informed Protein EditingSemantic 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

GPTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in G Protein-Coupled Receptors.Semantic proximity Read

PLiCat: Decoding protein-lipid interactions by large language modelSemantic proximity Read

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

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

Protein Language Model Predicts Mutation Pathogenicity and Clinical PrognosisSemantic proximity Read

Mixture of Experts Enable Efficient and Effective Protein Understanding and DesignSemantic proximity Read