Comprehensive evaluation of large language models in mining gene relations and pathway knowledge
Understanding complex biological pathways, such as gene-gene interactions and gene regulatory networks, is crucial for exploring disease mechanisms and advancing drug development. However, manual literature curation of these pathways cannot keep pace with the exponential growth of discoveries. Large-scale language models (LLMs) trained on extensive text corpora contain rich biological information and can be leveraged as a biological knowledge graph for pathway curation. Recently, Quantitative Biology published a study titled "A Comprehensive ...
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