{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1360021396518046592.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1016/j.compbiomed.2023.106638"}},{"identifier":{"@type":"URI","@value":"https://api.elsevier.com/content/article/PII:S0010482523001038?httpAccept=text/xml"}},{"identifier":{"@type":"URI","@value":"https://api.elsevier.com/content/article/PII:S0010482523001038?httpAccept=text/plain"}}],"dc:title":[{"@value":"Machine learning in antibacterial discovery and development: A bibliometric and network analysis of research hotspots and trends"}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380021396518046592","@type":"Researcher","foaf:name":[{"@value":"Karel Diéguez-Santana"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021396518046593","@type":"Researcher","foaf:name":[{"@value":"Humberto González-Díaz"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"00104825"}],"prism:publicationName":[{"@value":"Computers in Biology and Medicine"}],"dc:publisher":[{"@value":"Elsevier BV"}],"prism:publicationDate":"2023-03","prism:volume":"155","prism:startingPage":"106638"},"reviewed":"false","dc:rights":["https://www.elsevier.com/tdm/userlicense/1.0/","https://www.elsevier.com/legal/tdmrep-license","https://doi.org/10.15223/policy-017","https://doi.org/10.15223/policy-037","https://doi.org/10.15223/policy-012","https://doi.org/10.15223/policy-029","https://doi.org/10.15223/policy-004"],"url":[{"@id":"https://api.elsevier.com/content/article/PII:S0010482523001038?httpAccept=text/xml"},{"@id":"https://api.elsevier.com/content/article/PII:S0010482523001038?httpAccept=text/plain"}],"createdAt":"2023-02-07","modifiedAt":"2025-09-14","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360021390763070976","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1016/j.compbiomed.2023.106638"},{"@type":"CROSSREF","@value":"10.1016/j.compbiomed.2023.107762_references_DOI_X09Ld9ISKdAZwCTdZHkYlLwVpKK"}]}