Yijia-Xiao/Protein-LLM-Survey

Large Language Models in Protein: A Comprehensive Survey

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Emerging

This survey helps protein scientists, bioinformaticians, and computational biologists navigate the rapidly evolving landscape of Large Language Models (LLMs) applied to proteins. It provides a structured overview of research papers, categorized by methods like sequence models, evolutionary modeling, and structure integration. The output is a curated list of relevant research, often with links to code, for those looking to understand or implement LLM-based protein analysis.

176 stars. No commits in the last 6 months.

Use this if you are a researcher or practitioner in protein science needing to quickly grasp the state-of-the-art and find resources for applying large language models to protein understanding and prediction.

Not ideal if you are looking for a ready-to-use software tool or an introductory guide to basic protein bioinformatics concepts.

protein-engineering drug-discovery bioinformatics-research computational-biology genomic-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 12 / 25

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176

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License

MIT

Last pushed

Apr 02, 2025

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