Large Language Models (LLMs) in Protein Bioinformatics [Hardcover]

This book presents a comprehensive collection of methods, resources, and studies that use large language models (LLMs) in the field of protein bioinformatics. Reflecting the swift pace of LLM development today, the volume delves into numerous LLM-based tools to investigate proteins science, from protein language models to the prediction of protein-ligand binding sites. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice to ensure success in future research.

 

Authoritative and practical, Large Language Models (LLMs) in Protein Bioinformatics serves as an ideal guide for scientists seeking to tap into the potential of artificial intelligence in this vital area of biological study.

A Survey of Pre-Trained Protein Language Models.- Enhancing Structure-Aware Protein Language Models with Efficient Fine-Tuning for Various Protein Prediction Tasks.- Exploring ProtFlash: An Efficient Approach to Protein Data Analysis.- Ranking Protein-Protein Models with Large Language Models and Graph Neural Networks.- Translating a GO Term List to Human Readable Function Description Using GO2Sum.- TransFulã