HICAI-ZJU/Scientific-LLM-Survey

Scientific Large Language Models: A Survey on Biological & Chemical Domains

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Emerging

This collection of research papers helps scientists, researchers, and professionals in biology, chemistry, and medicine stay updated on the rapidly evolving field of Scientific Large Language Models (Sci-LLMs). It provides a curated list of relevant studies across various scientific language types, including textual, molecular, protein, and genomic data. Users can explore different models for tasks like drug discovery, protein design, and medical diagnosis.

353 stars. No commits in the last 6 months.

Use this if you need a comprehensive overview and curated list of existing research papers on Large Language Models applied to scientific domains like biology, chemistry, and medicine.

Not ideal if you are looking for ready-to-use software tools or code implementations for scientific LLMs, as this is primarily a survey of research papers.

computational biology cheminformatics medical informatics drug discovery materials science
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 16 / 25

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Last pushed

Sep 07, 2025

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