QizhiPei/Awesome-Biomolecule-Language-Cross-Modeling
Awesome-Biomolecule-Language-Cross-Modeling: a curated list of resources for paper "Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey"
This resource helps researchers, scientists, and clinical professionals find relevant models, datasets, and benchmarks for combining biomolecule data with natural language. It's a curated list based on a survey paper, helping you to connect concepts from scientific text with molecular information. You can use it to discover tools that take in biomolecule data (like protein sequences or drug structures) and textual information (like research papers or clinical notes) and provide insights or predictions.
250 stars.
Use this if you are a biomedical researcher or data scientist looking for a comprehensive overview of existing multi-modal AI models and datasets that integrate biological information with scientific literature or clinical text.
Not ideal if you are looking for a ready-to-use software tool or a direct API for biomolecule-language cross-modeling, as this is primarily a curated list of academic resources.
Stars
250
Forks
16
Language
—
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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