{"id":"https://openalex.org/W3134323707","doi":"https://doi.org/10.1109/tcbb.2021.3064614","title":"A Neighborhood-Based Global Network Model to Predict Drug-Target Interactions","display_name":"A Neighborhood-Based Global Network Model to Predict Drug-Target Interactions","publication_year":2021,"publication_date":"2021-03-09","ids":{"openalex":"https://openalex.org/W3134323707","doi":"https://doi.org/10.1109/tcbb.2021.3064614","mag":"3134323707","pmid":"https://pubmed.ncbi.nlm.nih.gov/33687846"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2021.3064614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3064614","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","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/A5100769192","display_name":"Shiming Wang","orcid":"https://orcid.org/0000-0003-3222-3914"},"institutions":[{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiming Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I4210161462","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066052627","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-9359-3586"},"institutions":[{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I4210161462","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392449","display_name":"Yadong Wang","orcid":"https://orcid.org/0000-0001-9627-4492"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I4210161462","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056364272","display_name":"Liran Juan","orcid":"https://orcid.org/0000-0001-8826-0269"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liran Juan","raw_affiliation_strings":["School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100769192"],"corresponding_institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210161462"],"apc_list":null,"apc_paid":null,"fwci":1.0358,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79344215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"19","issue":"4","first_page":"2017","last_page":"2025"},"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":0.9789000153541565,"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/T10375","display_name":"Pharmacogenetics and Drug Metabolism","score":0.9354000091552734,"subfield":{"id":"https://openalex.org/subfields/3004","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7544801235198975},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7278304100036621},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6633284687995911},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5203494429588318},{"id":"https://openalex.org/keywords/drug-target","display_name":"Drug target","score":0.500877857208252},{"id":"https://openalex.org/keywords/global-network","display_name":"Global network","score":0.42619985342025757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41685158014297485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4012865424156189},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09339439868927002},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08931437134742737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7544801235198975},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7278304100036621},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6633284687995911},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5203494429588318},{"id":"https://openalex.org/C2989108626","wikidata":"https://www.wikidata.org/wiki/Q904407","display_name":"Drug target","level":2,"score":0.500877857208252},{"id":"https://openalex.org/C123138037","wikidata":"https://www.wikidata.org/wiki/Q5570871","display_name":"Global network","level":2,"score":0.42619985342025757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41685158014297485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4012865424156189},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09339439868927002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08931437134742737},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"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":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2021.3064614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3064614","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:33687846","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33687846","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":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4099999964237213,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W100985474","https://openalex.org/W1973660081","https://openalex.org/W1979537657","https://openalex.org/W1984014392","https://openalex.org/W1995089537","https://openalex.org/W2009313526","https://openalex.org/W2018408116","https://openalex.org/W2044002635","https://openalex.org/W2065516217","https://openalex.org/W2072875467","https://openalex.org/W2087064593","https://openalex.org/W2096541451","https://openalex.org/W2100672820","https://openalex.org/W2106029302","https://openalex.org/W2108069034","https://openalex.org/W2134435539","https://openalex.org/W2137832158","https://openalex.org/W2144000913","https://openalex.org/W2146502635","https://openalex.org/W2147130143","https://openalex.org/W2153838454","https://openalex.org/W2162011385","https://openalex.org/W2165674132","https://openalex.org/W2166550586","https://openalex.org/W2183717576","https://openalex.org/W2233800101","https://openalex.org/W2256119113","https://openalex.org/W2256553158","https://openalex.org/W2302413701","https://openalex.org/W2472351724","https://openalex.org/W2527836113","https://openalex.org/W2558217333","https://openalex.org/W2566823781","https://openalex.org/W2576544908","https://openalex.org/W2753953057","https://openalex.org/W2770261575","https://openalex.org/W2790733063","https://openalex.org/W2793951981","https://openalex.org/W2887766329","https://openalex.org/W2906922052","https://openalex.org/W2916047525","https://openalex.org/W2960557205","https://openalex.org/W2990045538","https://openalex.org/W2996505894","https://openalex.org/W3013646438","https://openalex.org/W4214926090","https://openalex.org/W6681435938"],"related_works":["https://openalex.org/W2807251790","https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2799406489","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W4386790794"],"abstract_inverted_index":{"The":[0],"detection":[1],"of":[2,40,57,90,167],"drug-target":[3],"interactions":[4],"(DTIs)":[5],"plays":[6],"an":[7],"important":[8],"role":[9],"in":[10,96,147],"drug":[11,27],"discovery":[12],"and":[13,31,43,53,94,108],"development,":[14],"making":[15],"DTI":[16,32,118],"prediction":[17],"urgent":[18],"to":[19,34,75,100,114],"be":[20],"solved.":[21],"Existing":[22],"computational":[23],"methods":[24],"usually":[25,48],"utilize":[26],"similarity,":[28],"target":[29],"similarity":[30],"information":[33],"make":[35],"prediction,":[36],"providing":[37],"the":[38,80,97,102,116,148,165],"convenience":[39],"fast":[41],"time":[42],"low":[44],"cost.":[45],"However,":[46],"they":[47],"learn":[49],"features":[50,89],"for":[51,88],"drugs":[52],"targets":[54],"separately,":[55],"lacking":[56],"a":[58,66,85,110],"global":[59,69,81,111,124],"consideration.":[60],"In":[61],"this":[62],"study,":[63],"we":[64],"proposed":[65],"novel":[67,153],"neighborhood-based":[68,123],"network":[70],"model,":[71],"named":[72],"as":[73],"NGN,":[74],"accurately":[76],"predict":[77],"DTIs":[78,155],"from":[79],"perspective.":[82],"We":[83],"designed":[84],"distance":[86,104],"constraint":[87],"all":[91],"entities":[92],"(drugs":[93],"targets)":[95],"latent":[98],"space":[99],"ensure":[101],"close":[103],"between":[105],"adjacent":[106],"entities,":[107],"defined":[109],"probability":[112],"matrix":[113],"compute":[115],"predicted":[117,158],"scores":[119],"on":[120,144],"our":[121,168],"constructed":[122],"network.":[125],"Results":[126],"showed":[127],"that":[128],"NGN":[129],"obtained":[130],"advantageous":[131],"performance":[132],"compared":[133],"with":[134,159],"other":[135],"state-of-the-art":[136],"methods,":[137],"especially":[138],"surpassing":[139],"them":[140],"by":[141,161],"4.2-9.1":[142],"percent":[143],"AUPR":[145],"values":[146],"biggest":[149],"dataset.":[150],"Furthermore,":[151],"several":[152],"high-ranked":[154],"were":[156],"successfully":[157],"confirmations":[160],"public":[162],"sources,":[163],"demonstrating":[164],"effectiveness":[166],"method.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
