Large Language Model Agents for Biological Intelligence Across Genomics, Proteomics, Spatial Biology, and Biomedicine
Published:
This review synthesizes more than 60 LLM-based agent systems across genomics, proteomics, single-cell and spatial biology, drug discovery, bioinformatics workflows, and biomedical applications. It proposes a cross-domain taxonomy and highlights evaluation, grounding, reproducibility, and safety challenges.
Briefings in Bioinformatics 2026 Paper
@article{dip2026llmagents,
title = {Large Language Model Agents for Biological Intelligence Across Genomics, Proteomics, Spatial Biology, and Biomedicine},
author = {Dip, Sajib Acharjee and Mallick, Dipanwita and Shuvo, Uddip Acharjee and Soumma, Shovito Barua and Rafsani, Fazle and Paul, Bikash Kumar and Moumi, Nazifa Ahmed and Ahmed, Shafayat and Zhang, Liqing},
journal = {Briefings in Bioinformatics},
volume = {27},
number = {2},
pages = {bbag110},
year = {2026},
doi = {10.1093/bib/bbag110}
}