biolink-model

Class: OrganismTaxonToOrganismTaxonInteraction

An interaction relationship between two taxa. This may be a symbiotic relationship (encompassing mutualism and parasitism), or it may be non-symbiotic. Example: plague transmitted_by flea; cattle domesticated_by Homo sapiens; plague infects Homo sapiens

URI: biolink:OrganismTaxonToOrganismTaxonInteraction

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Parents

• is_a: OrganismTaxonToOrganismTaxonAssociation - A relationship between two organism taxon nodes

Referenced by class

Attributes

Own

• associated environmental context _0..1
  • Description: An attribute that can be applied to an association where the association holds between two entities located or occurring in a particular environment. For example, two microbial taxa may interact in the context of a human gut; a disease may give rise to a particular phenotype in a particular environmental exposure. # TODO: add examples of values for this property.
  • Range: String
• object _1..1
  • Description: connects an association to the object of the association. For example, in a gene-to-phenotype association, the gene is subject and phenotype is object.
  • Range: NamedThing
• predicate _1..1
  • Description: A high-level grouping for the relationship type. AKA minimal predicate. This is analogous to category for nodes.
  • Range: PredicateType
• subject _1..1
  • Description: connects an association to the subject of the association. For example, in a gene-to-phenotype association, the gene is subject and phenotype is object.
  • Range: NamedThing

Inherited from association:

• subject _1..1
  • Description: connects an association to the subject of the association. For example, in a gene-to-phenotype association, the gene is subject and phenotype is object.
  • Range: NamedThing
• predicate _1..1
  • Description: A high-level grouping for the relationship type. AKA minimal predicate. This is analogous to category for nodes.
  • Range: PredicateType
• object _1..1
  • Description: connects an association to the object of the association. For example, in a gene-to-phenotype association, the gene is subject and phenotype is object.
  • Range: NamedThing
• negated _0..1
  • Description: if set to true, then the association is negated i.e. is not true
  • Range: Boolean
• qualifiers _0..*
  • Description: connects an association to qualifiers that modify or qualify the meaning of that association
  • Range: OntologyClass
• publications _0..*
  • Description: One or more publications that report the statement expressed in an Association, or provide information used as evidence supporting this statement.
  • Range: Publication
• has evidence _0..*
  • Description: connects an association to an instance of supporting evidence
  • Range: EvidenceType
• knowledge source _0..1
  • Description: An Information Resource from which the knowledge expressed in an Association was retrieved, directly or indirectly. This can be any resource through which the knowledge passed on its way to its currently serialized form. In practice, implementers should use one of the more specific subtypes of this generic property.
  • Range: String
• primary knowledge source _0..1
  • Description: The most upstream source of the knowledge expressed in an Association that an implementer can identify. Performing a rigorous analysis of upstream data providers is expected; every effort is made to catalog the most upstream source of data in this property. Only one data source should be declared primary in any association. “aggregator knowledge source” can be used to capture non-primary sources.
  • Range: String
• aggregator knowledge source _0..*
  • Description: An intermediate aggregator resource from which knowledge expressed in an Association was retrieved downstream of the original source, on its path to its current serialized form.
  • Range: String
• timepoint _0..1
  • Description: a point in time
  • Range: TimeType
• original subject _0..1
  • Description: used to hold the original subject of a relation (or predicate) that an external knowledge source uses before transformation to match the biolink-model specification.
  • Range: String
• original predicate _0..1
  • Description: used to hold the original relation/predicate that an external knowledge source uses before transformation to match the biolink-model specification.
  • Range: Uriorcurie
• original object _0..1
  • Description: used to hold the original object of a relation (or predicate) that an external knowledge source uses before transformation to match the biolink-model specification.
  • Range: String
• subject category _0..1
  • Description: Used to hold the biolink class/category of an association. This is a denormalized field used primarily in the SQL serialization of a knowledge graph via KGX.
  • Range: OntologyClass
  • Example: biolink:Gene The subject category of the association between the gene ‘BRCA1’ and the disease ‘breast cancer’ is ‘biolink:Gene’.
• object category _0..1
  • Description: Used to hold the biolink class/category of an association. This is a denormalized field used primarily in the SQL serialization of a knowledge graph via KGX.
  • Range: OntologyClass
  • Example: biolink:Disease The object category of the association between the gene ‘BRCA1’ and the disease ‘breast cancer’ is ‘biolink:Disease’.
• subject closure _0..*
  • Description: Used to hold the subject closure of an association. This is a denormalized field used primarily in the SQL serialization of a knowledge graph via KGX.
  • Range: String
• object closure _0..*
  • Description: Used to hold the object closure of an association. This is a denormalized field used primarily in the SQL serialization of a knowledge graph via KGX.
  • Range: String
  • Example: [‘MONDO:0000167’, ‘MONDO:0005395’] The object closure of the association between the gene ‘BRCA1’ and the disease ‘breast cancer’ is the set of all diseases that are ancestors of ‘breast cancer’ in the MONDO ontology. Note: typically the “subclass of” and “part of” relations are used to construct the closure, but other relations may be used as well.
• subject category closure _0..*
  • Description: Used to hold the subject category closure of an association. This is a denormalized field used primarily in the SQL serialization of a knowledge graph via KGX.
  • Range: OntologyClass
  • Example: [‘biolink:Gene”, “biolink:NamedThing’] The subject category closure of the association between the gene ‘BRCA1’ and the disease ‘breast cancer’ is the set of all biolink classes that are ancestors of ‘biolink:Gene’ in the biolink model. Note: typically the “subclass of” and “part of” relations are used to construct the closure, but other relations may be used as well.
• object category closure _0..*
  • Description: Used to hold the object category closure of an association. This is a denormalized field used primarily in the SQL serialization of a knowledge graph via KGX.
  • Range: OntologyClass
  • Example: [‘biolink:Disease”, “biolink:NamedThing’] The object category closure of the association between the gene ‘BRCA1’ and the disease ‘breast cancer’ is the set of all biolink classes that are ancestors of ‘biolink:Disease’ in the biolink model. Note: typically the “subclass of” and “part of” relations are used to construct the closure, but other relations may be used as well.
• subject namespace _0..1
  • Description: Used to hold the subject namespace of an association. This is a denormalized field used primarily in the SQL serialization of a knowledge graph via KGX.
  • Range: String
  • Example: NCBIGene The subject namespace of the association between the gene ‘BRCA1’ and the disease ‘breast cancer’ is ‘NCBIGene’.
• object namespace _0..1
  • Description: Used to hold the object namespace of an association. This is a denormalized field used primarily in the SQL serialization of a knowledge graph via KGX.
  • Range: String
  • Example: MONDO The object namespace of the association between the gene ‘BRCA1’ and the disease ‘breast cancer’ is ‘MONDO’.
• subject label closure _0..*
  • Description: Used to hold the subject label closure of an association. This is a denormalized field used primarily in the SQL serialization of a knowledge graph via KGX.
  • Range: String
  • Example: [‘BRACA1’] The subject label closure of the association between the gene ‘BRCA1’ and the disease ‘breast cancer’ is the set of all labels that are ancestors of ‘BRCA1’ in the biolink model.
• object label closure _0..*
  • Description: Used to hold the object label closure of an association. This is a denormalized field used primarily in the SQL serialization of a knowledge graph via KGX.
  • Range: String
  • Example: [‘breast cancer’, ‘cancer’] The object label closure of the association between the gene ‘BRCA1’ and the disease ‘breast cancer’ is the set of all labels that are ancestors of ‘breast cancer’ in the biolink model.
• retrieval source ids _0..*
  • Description: A list of retrieval sources that served as a source of knowledge expressed in an Edge, or a source of data used to generate this knowledge.
  • Range: RetrievalSource
  • in subsets: (translator_minimal)
• type _0..*
  • Range: String
• category _0..*
  • Description: Name of the high level ontology class in which this entity is categorized. Corresponds to the label for the biolink entity type class.
• In a neo4j database this MAY correspond to the neo4j label tag.
• In an RDF database it should be a biolink model class URI. This field is multi-valued. It should include values for ancestors of the biolink class; for example, a protein such as Shh would have category values biolink:Protein, biolink:GeneProduct, biolink:MolecularEntity, … In an RDF database, nodes will typically have an rdf:type triples. This can be to the most specific biolink class, or potentially to a class more specific than something in biolink. For example, a sequence feature f may have a rdf:type assertion to a SO class such as TF_binding_site, which is more specific than anything in biolink. Here we would have categories {biolink:GenomicEntity, biolink:MolecularEntity, biolink:NamedThing}
  • Range: CategoryType
  • in subsets: (translator_minimal)

Inherited from entity:

• id _1..1
  • Description: A unique identifier for an entity. Must be either a CURIE shorthand for a URI or a complete URI
  • Range: String
  • in subsets: (translator_minimal)
• iri _0..1
  • Description: An IRI for an entity. This is determined by the id using expansion rules.
  • Range: IriType
  • in subsets: (translator_minimal,samples)
• category _0..*
  • Description: Name of the high level ontology class in which this entity is categorized. Corresponds to the label for the biolink entity type class.
• In a neo4j database this MAY correspond to the neo4j label tag.
• In an RDF database it should be a biolink model class URI. This field is multi-valued. It should include values for ancestors of the biolink class; for example, a protein such as Shh would have category values biolink:Protein, biolink:GeneProduct, biolink:MolecularEntity, … In an RDF database, nodes will typically have an rdf:type triples. This can be to the most specific biolink class, or potentially to a class more specific than something in biolink. For example, a sequence feature f may have a rdf:type assertion to a SO class such as TF_binding_site, which is more specific than anything in biolink. Here we would have categories {biolink:GenomicEntity, biolink:MolecularEntity, biolink:NamedThing}
  • Range: CategoryType
  • in subsets: (translator_minimal)
• type _0..*
  • Range: String
• description _0..1
  • Description: a human-readable description of an entity
  • Range: NarrativeText
  • in subsets: (translator_minimal)
• has attribute _0..*
  • Description: connects any entity to an attribute
  • Range: Attribute
  • in subsets: (samples)

Inherited from macromolecular machine mixin:

• name _0..1
  • Description: A human-readable name for an attribute or entity.
  • Range: LabelType
  • in subsets: (translator_minimal,samples)

Domain for slot:

• associated environmental context _0..1
  • Description: An attribute that can be applied to an association where the association holds between two entities located or occurring in a particular environment. For example, two microbial taxa may interact in the context of a human gut; a disease may give rise to a particular phenotype in a particular environmental exposure. # TODO: add examples of values for this property.
  • Range: String
• object _1..1
  • Description: connects an association to the object of the association. For example, in a gene-to-phenotype association, the gene is subject and phenotype is object.
  • Range: NamedThing
• predicate _1..1
  • Description: A high-level grouping for the relationship type. AKA minimal predicate. This is analogous to category for nodes.
  • Range: PredicateType
• subject _1..1
  • Description: connects an association to the subject of the association. For example, in a gene-to-phenotype association, the gene is subject and phenotype is object.
  • Range: NamedThing

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