Large Language Models (LLMs) are expanding beyond text processing to solve complex biological challenges with unprecedented capabilities.

Key Applications in Bioinformatics:

• Genomics & Transcriptomics: Interpreting genetic sequences and gene expression patterns
• Proteomics: Predicting protein structures and interactions with high accuracy
• Drug Discovery: Accelerating identification of therapeutic candidates and drug-target interactions
• Single-Cell Analysis: Extracting insights from complex cellular data

Why It Matters: LLMs offer transformative potential for biological research by processing massive biological datasets, identifying complex patterns, and generating novel insights beyond traditional bioinformatics methods - potentially revolutionizing precision medicine and drug development.

Advancing bioinformatics with large language models: components, applications and perspectives