  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.
