boxorange/BioIE-LLM
Biological Information Extraction from Large Language Models (LLMs) (Journal of Computational Biology 2025)
This project helps researchers and computational biologists quickly extract critical biological information from scientific texts. You can input descriptions of proteins, genes, or biological pathways and receive predictions about their interactions or associated components. The output helps identify protein-protein interactions, determine if protein pairs interact, or list genes involved in specific pathways, making it useful for accelerating research into molecular mechanisms.
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Use this if you need to rapidly identify molecular interactions or genes associated with biological pathways based on text descriptions, without manually sifting through extensive databases.
Not ideal if you require 100% verified experimental data for clinical applications or need a tool for de novo sequence analysis rather than text-based information extraction.
Stars
13
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 18, 2025
Commits (30d)
0
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