Leveraging large language models for literature-driven prioritization of protein binding pockets

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Authors

Roman Stratiichuk · Taras Shevchenko National University of Kyiv

Mykola Melnychenko · Web Science Trust

Ihor Koleiev · Web Science Trust

Taras Voitsitskyi · Web Science Trust

Vladyslav Husak · University of Trento

Наталія Анатоліївна Шевчук · Web Science Trust

Zakhar Ostrovsky

Abstract

The developed benchmark dataset and methodology are freely available at the GitHub repository (https://github.com/receptor-ai/LLM-benchmark-dataset) and Zenodo (DOI: 10.5281/zenodo.15798647).

Topics & Keywords

Biomedical Text Mining and Ontologies Genetics, Bioinformatics, and Biomedical Research Bioinformatics and Genomic Networks

Publication Details

Published in: Bioinformatics

Volume 41, Issue 8

DOI: 10.1093/bioinformatics/btaf449

Field-Weighted Citation Impact: 0.81

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Leveraging large language models for literature-driven prioritization of protein binding pockets

Authors

Abstract

Topics & Keywords

Publication Details