Chemical-Protein Interaction Extraction
2 papers with code • 0 benchmarks • 0 datasets
The models are presented with excerpts from scientific literature and are required to not only identify distinct chemicals within the text but also to discern the specific nature of the interactions between them. This could involve, for instance, determining regulatory relationships between identified ligands and proteins.
Benchmarks
These leaderboards are used to track progress in Chemical-Protein Interaction Extraction
Most implemented papers
Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge
CongSun-dlut/CPI_extraction
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Furthermore, the Gaussian probability distribution can effectively improve the extraction performance of sentences with overlapping relations in biomedical relation extraction tasks.
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Large Language Models (LLMs), with their remarkable task-handling capabilities and innovative outputs, have catalyzed significant advancements across a spectrum of fields.
