The Biology Knowledge Graph has the deep evidence needed for drug discovery work. It includes 1.4M+ entities that represent biological concepts (e.g., disease, cell process) and molecular classes (e.g., protein, small molecules). More than 13.4M+ biological relationships (with more added weekly) connect these entities. Natural language processing (NLP) technology transforms unstructured text into structured information. The resulting knowledge graph enables deep insights from a broad range of literature.
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