{"id":"https://openalex.org/W2793951981","doi":"https://doi.org/10.1093/bib/bby002","title":"Computational prediction of drug\u2013target interactions using chemogenomic approaches: an empirical survey","display_name":"Computational prediction of drug\u2013target interactions using chemogenomic approaches: an empirical survey","publication_year":2018,"publication_date":"2018-01-06","ids":{"openalex":"https://openalex.org/W2793951981","doi":"https://doi.org/10.1093/bib/bby002","mag":"2793951981","pmid":"https://pubmed.ncbi.nlm.nih.gov/29377981"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bby002","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bby002","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003922274","display_name":"Ali Ezzat","orcid":"https://orcid.org/0000-0002-7426-3888"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ali Ezzat","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340964","display_name":"Min Wu","orcid":"https://orcid.org/0000-0003-0977-3600"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Wu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418684","display_name":"Xiaoli Li","orcid":"https://orcid.org/0000-0002-0762-6562"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao-Li Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027208445","display_name":"Chee Keong Kwoh","orcid":"https://orcid.org/0000-0002-8547-6387"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chee-Keong Kwoh","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003922274"],"corresponding_institution_ids":[],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":28.6403,"has_fulltext":false,"cited_by_count":321,"citation_normalized_percentile":{"value":0.99782934,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"20","issue":"4","first_page":"1337","last_page":"1357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5904990434646606},{"id":"https://openalex.org/keywords/drug-target","display_name":"Drug target","score":0.5477409362792969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44062134623527527},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35609281063079834},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3256813883781433},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10947367548942566},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.07188770174980164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5904990434646606},{"id":"https://openalex.org/C2989108626","wikidata":"https://www.wikidata.org/wiki/Q904407","display_name":"Drug target","level":2,"score":0.5477409362792969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44062134623527527},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35609281063079834},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3256813883781433},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10947367548942566},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.07188770174980164}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000071185","descriptor_name":"Pharmacogenomic Testing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000071185","descriptor_name":"Pharmacogenomic Testing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000071185","descriptor_name":"Pharmacogenomic Testing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000071185","descriptor_name":"Pharmacogenomic Testing","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000071185","descriptor_name":"Pharmacogenomic Testing","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000071185","descriptor_name":"Pharmacogenomic Testing","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000076722","descriptor_name":"Drug Development","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000076722","descriptor_name":"Drug Development","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000076722","descriptor_name":"Drug Development","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000076722","descriptor_name":"Drug Development","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000076722","descriptor_name":"Drug Development","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000076722","descriptor_name":"Drug Development","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000080911","descriptor_name":"Cheminformatics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000080911","descriptor_name":"Cheminformatics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000080911","descriptor_name":"Cheminformatics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003663","descriptor_name":"Decision Trees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003663","descriptor_name":"Decision Trees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003663","descriptor_name":"Decision Trees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011795","descriptor_name":"Surveys and Questionnaires","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011795","descriptor_name":"Surveys and Questionnaires","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011795","descriptor_name":"Surveys and Questionnaires","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D058492","descriptor_name":"Drug Repositioning","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058492","descriptor_name":"Drug Repositioning","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058492","descriptor_name":"Drug Repositioning","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058492","descriptor_name":"Drug Repositioning","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D058492","descriptor_name":"Drug Repositioning","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D058492","descriptor_name":"Drug Repositioning","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1093/bib/bby002","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bby002","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:29377981","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29377981","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334744","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":171,"referenced_works":["https://openalex.org/W74439177","https://openalex.org/W148928213","https://openalex.org/W188755909","https://openalex.org/W331119053","https://openalex.org/W579521957","https://openalex.org/W605727707","https://openalex.org/W1466286227","https://openalex.org/W1537646912","https://openalex.org/W1544009106","https://openalex.org/W1580948147","https://openalex.org/W1601495365","https://openalex.org/W1605923270","https://openalex.org/W1775897493","https://openalex.org/W1952825535","https://openalex.org/W1966631994","https://openalex.org/W1967032556","https://openalex.org/W1968217711","https://openalex.org/W1971040550","https://openalex.org/W1971106435","https://openalex.org/W1975147762","https://openalex.org/W1976251851","https://openalex.org/W1976526581","https://openalex.org/W1978370150","https://openalex.org/W1979537657","https://openalex.org/W1984014392","https://openalex.org/W1984084871","https://openalex.org/W1986087295","https://openalex.org/W1991646180","https://openalex.org/W1991681722","https://openalex.org/W1991919669","https://openalex.org/W1996850420","https://openalex.org/W1998767819","https://openalex.org/W1998898494","https://openalex.org/W2001141328","https://openalex.org/W2007965730","https://openalex.org/W2008731781","https://openalex.org/W2008840001","https://openalex.org/W2009113274","https://openalex.org/W2012438480","https://openalex.org/W2012746420","https://openalex.org/W2015393683","https://openalex.org/W2018340784","https://openalex.org/W2018408116","https://openalex.org/W2018661561","https://openalex.org/W2025577942","https://openalex.org/W2027318031","https://openalex.org/W2029348196","https://openalex.org/W2029980980","https://openalex.org/W2033906815","https://openalex.org/W2036285176","https://openalex.org/W2037022423","https://openalex.org/W2040022355","https://openalex.org/W2042210880","https://openalex.org/W2043509863","https://openalex.org/W2044002635","https://openalex.org/W2053186076","https://openalex.org/W2055147198","https://openalex.org/W2057650091","https://openalex.org/W2062941476","https://openalex.org/W2064264167","https://openalex.org/W2066201825","https://openalex.org/W2069293737","https://openalex.org/W2075426299","https://openalex.org/W2075692164","https://openalex.org/W2079745490","https://openalex.org/W2081193615","https://openalex.org/W2081526643","https://openalex.org/W2086286404","https://openalex.org/W2087064593","https://openalex.org/W2091442248","https://openalex.org/W2096021562","https://openalex.org/W2096541451","https://openalex.org/W2098464924","https://openalex.org/W2100128988","https://openalex.org/W2100672820","https://openalex.org/W2101409192","https://openalex.org/W2102750482","https://openalex.org/W2103017472","https://openalex.org/W2104950117","https://openalex.org/W2106029302","https://openalex.org/W2107249189","https://openalex.org/W2107941528","https://openalex.org/W2108119513","https://openalex.org/W2109743529","https://openalex.org/W2109991441","https://openalex.org/W2111078532","https://openalex.org/W2112349511","https://openalex.org/W2113951828","https://openalex.org/W2115584760","https://openalex.org/W2117030594","https://openalex.org/W2124209157","https://openalex.org/W2125125731","https://openalex.org/W2125414037","https://openalex.org/W2126671570","https://openalex.org/W2131573225","https://openalex.org/W2135007932","https://openalex.org/W2135844668","https://openalex.org/W2137052779","https://openalex.org/W2138512826","https://openalex.org/W2139736926","https://openalex.org/W2142572836","https://openalex.org/W2144769066","https://openalex.org/W2146382443","https://openalex.org/W2147526198","https://openalex.org/W2148145769","https://openalex.org/W2148426707","https://openalex.org/W2151357092","https://openalex.org/W2153838454","https://openalex.org/W2154053567","https://openalex.org/W2154896031","https://openalex.org/W2156718197","https://openalex.org/W2157748890","https://openalex.org/W2160400421","https://openalex.org/W2161607603","https://openalex.org/W2162011385","https://openalex.org/W2165276227","https://openalex.org/W2167212630","https://openalex.org/W2168938595","https://openalex.org/W2169678694","https://openalex.org/W2183717576","https://openalex.org/W2213443318","https://openalex.org/W2219002220","https://openalex.org/W2256119113","https://openalex.org/W2256553158","https://openalex.org/W2259538443","https://openalex.org/W2302413701","https://openalex.org/W2343107734","https://openalex.org/W2399976582","https://openalex.org/W2417990257","https://openalex.org/W2419892062","https://openalex.org/W2464747247","https://openalex.org/W2471196942","https://openalex.org/W2499322187","https://openalex.org/W2502698579","https://openalex.org/W2503792825","https://openalex.org/W2513880868","https://openalex.org/W2519019522","https://openalex.org/W2546726420","https://openalex.org/W2553681302","https://openalex.org/W2554328263","https://openalex.org/W2556131117","https://openalex.org/W2558698012","https://openalex.org/W2558825838","https://openalex.org/W2563206593","https://openalex.org/W2567080747","https://openalex.org/W2576544908","https://openalex.org/W2592742128","https://openalex.org/W2607497028","https://openalex.org/W2614433385","https://openalex.org/W2623060321","https://openalex.org/W2729788619","https://openalex.org/W2754595644","https://openalex.org/W2786578820","https://openalex.org/W2911964244","https://openalex.org/W2916534270","https://openalex.org/W2999905431","https://openalex.org/W4210835055","https://openalex.org/W4229812168","https://openalex.org/W4232478844","https://openalex.org/W4285719527","https://openalex.org/W4298663828","https://openalex.org/W4365799989","https://openalex.org/W6607784695","https://openalex.org/W6640648489","https://openalex.org/W6686420396","https://openalex.org/W6712798256","https://openalex.org/W6725628906","https://openalex.org/W6730280152","https://openalex.org/W6731003882","https://openalex.org/W6737788487","https://openalex.org/W6744293694"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Computational":[0],"prediction":[1,60,84,106,142],"of":[2,108,129,140],"drug-target":[3],"interactions":[4,23],"(DTIs)":[5],"has":[6],"become":[7],"an":[8,98],"essential":[9],"task":[10],"in":[11,80],"the":[12,19,57,77,91,105,125],"drug":[13],"discovery":[14],"process.":[15],"It":[16],"narrows":[17],"down":[18],"search":[20],"space":[21],"for":[22,29,69,94,137],"by":[24],"suggesting":[25],"potential":[26,135],"interaction":[27],"candidates":[28],"validation":[30],"via":[31],"wet-lab":[32],"experiments":[33],"that":[34],"are":[35],"well":[36,145],"known":[37],"to":[38,48,62,103],"be":[39],"expensive":[40],"and":[41,53,67,89,127],"time-consuming.":[42],"In":[43],"this":[44],"article,":[45],"we":[46,74,133],"aim":[47],"provide":[49],"a":[50,65],"comprehensive":[51],"overview":[52],"empirical":[54,99],"evaluation":[55,122],"on":[56],"computational":[58,82],"DTI":[59,83,141],"techniques,":[61],"act":[63],"as":[64,144,146],"guide":[66],"reference":[68],"our":[70,121],"fellow":[71],"researchers.":[72],"Specifically,":[73],"first":[75],"describe":[76],"data":[78],"used":[79],"such":[81],"efforts.":[85],"We":[86,115],"then":[87],"categorize":[88],"elaborate":[90],"state-of-the-art":[92],"methods":[93,111],"predicting":[95],"DTIs.":[96],"Next,":[97],"comparison":[100],"is":[101],"performed":[102],"demonstrate":[104],"performance":[107,143],"some":[109],"representative":[110],"under":[112],"different":[113],"scenarios.":[114],"also":[116],"present":[117],"interesting":[118],"findings":[119],"from":[120],"study,":[123],"discussing":[124],"advantages":[126],"disadvantages":[128],"each":[130],"method.":[131],"Finally,":[132],"highlight":[134],"avenues":[136],"further":[138],"enhancement":[139],"related":[147],"research":[148],"directions.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":50},{"year":2023,"cited_by_count":46},{"year":2022,"cited_by_count":47},{"year":2021,"cited_by_count":45},{"year":2020,"cited_by_count":50},{"year":2019,"cited_by_count":33},{"year":2018,"cited_by_count":6}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
