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Название: Large Language Models (LLMs) in Protein BioinformaticsАвтор: Dukka B. KC
Издательство: Humana Press/Springer
Год: 2025
Страниц: 360
Язык: английский
Формат: pdf (true), epub
Размер: 51.1 MB
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. Large Language Models (LLMs) are a class of foundation models that are (pre)trained on enormous amounts of data to provide the foundational capabilities needed to drive multiple use cases and applications. LLMs are typically based on a transformer architecture and involve training on a massive corpus of data (e.g., text). The transformer architecture of LLMs allows LLMs to effectively handle long context and sequential information. LLMs represent a significant breakthrough in natural language processing (NLP) and are designed to understand and generate texts/contents. LLMs have shown significant promise in various research fields including protein bioinformatics. For data visualization we utilize Python (version 3.8.16), Seaborn (version 0.12.2), and Matplotlib-base (version 3.6.2).
