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Multi-modal Protein Knowledge Graph Construction and Applications

arXiv 2207.10080 ↗First posted 27 May 2022q-bio.QM cs.AI cs.CLcited by 2

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Abstract (arXiv)

Existing data-centric methods for protein science generally cannot sufficiently capture and leverage biology knowledge, which may be crucial for many protein tasks. To facilitate research in this field, we create ProteinKG65, a knowledge graph for protein science. Using gene ontology and Uniprot knowledge base as a basis, we transform and integrate various kinds of knowledge with aligned descriptions and protein sequences, respectively, to GO terms and protein entities. ProteinKG65 is mainly dedicated to providing a specialized protein knowledge graph, bringing the knowledge of Gene Ontology to protein function and structure prediction. We also illustrate the potential applications of ProteinKG65 with a prototype. Our dataset can be downloaded at https://w3id.org/proteinkg65.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 0 of its 2 references that are in the map. First posted on arXiv 27 May 2022.

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