Large language models revolutionize bioinformatics, accelerating breakthroughs in protein analysis, drug discovery, and genomic research

Artificial intelligence-powered large language models (LLMs), like those behind ChatGPT, are rapidly reshaping bioinformatics research. A new study systematically details how these models decode complex biological data—from predicting protein structures to identifying disease-linked genes—with unprecedented speed and accuracy.

Published in Briefings in Bioinformatics , the review outlines five core strengths of LLMs:

LLMs have enabled breakthroughs such as:

However, challenges persist in model transparency, computational costs, and data biases. The authors call for:

"LLMs are not just tools—they represent a paradigm shift in how we study life sciences," said senior author Dr. Peng Luo. "Their integration with experimental biology will accelerate discoveries from lab to clinic."

Briefings in Bioinformatics

10.1093/bib/bbaf357

Bridging artificial intelligence and biological sciences: a comprehensive review of large language models in bioinformatics

None declared.