appears_in: [] depends_on: [] deprecated: false description: ProtoNet provides automatic hierarchical classification of protein sequences in the UniProt database, partitioning the protein space into clusters of similar proteins. This collection references cluster information. example: '4349895' homepage: http://www.protonet.cs.huji.ac.il/ keywords: - classification - clustering - protein mappings: biocontext: PROTONET.CLUSTER miriam: protonet.cluster n2t: protonet.cluster prefixcommons: protonet.cluster name: ProtoNet Cluster namespace_in_lui: false pattern: ^\d+$ preferred_prefix: protonet.cluster prefix: protonet.cluster providers: - code: bio2rdf description: Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences. Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked Data from a diverse set of heterogeneously formatted sources obtained from multiple data providers. homepage: https://bio2rdf.org name: Bio2RDF uri_format: http://bio2rdf.org/protonet.cluster:$1 publications: - doi: 10.1110/ps.062185706 pmc: PMC2242553 pubmed: '16672244' title: 'Functional annotation prediction: all for one and one for all' year: 2006 synonyms: [] uri_format: http://www.protonet.cs.huji.ac.il/requested/cluster_card.php?cluster=$1