{"id":"https://openalex.org/W2056802056","doi":"https://doi.org/10.1109/bibm.2014.6999125","title":"Predicting drug-target interaction for new drugs using enhanced similarity measures and super-target clustering<sup>1</sup>","display_name":"Predicting drug-target interaction for new drugs using enhanced similarity measures and super-target clustering<sup>1</sup>","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2056802056","doi":"https://doi.org/10.1109/bibm.2014.6999125","mag":"2056802056"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2014.6999125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5000609872","display_name":"Jian\u2010Yu Shi","orcid":"https://orcid.org/0000-0002-2303-273X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian-Yu Shi","raw_affiliation_strings":["School of Life Sciences, Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Life Sciences, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110500992","display_name":"Siu\u2010Ming Yiu","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Siu-Ming Yiu","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Hong Kong","Dept. of Computer Science, The University of Hong Kong, Hong Kong,#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Dept. of Computer Science, The University of Hong Kong, Hong Kong,#TAB#","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346332","display_name":"Yiming Li","orcid":"https://orcid.org/0000-0002-2258-265X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiming Li","raw_affiliation_strings":["Department of Psychiatry, The University of Hong Kong, Hong Kong","Department of Psychiatry, The University of Hong Kong , Hong Kong,"],"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Psychiatry, The University of Hong Kong , Hong Kong,","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103578758","display_name":"Henry C. M. Leung","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Henry C. M. Leung","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Hong Kong","Dept. of Computer Science, The University of Hong Kong, Hong Kong,#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Dept. of Computer Science, The University of Hong Kong, Hong Kong,#TAB#","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112411983","display_name":"Francis Y. L. Chin","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Francis Y. L. Chin","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Hong Kong","Dept. of Computer Science, The University of Hong Kong, Hong Kong,#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Dept. of Computer Science, The University of Hong Kong, Hong Kong,#TAB#","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000609872"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.7122,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71993359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"50"},"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9940999746322632,"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":0.9847000241279602,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7022256255149841},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.5873336791992188},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5570856332778931},{"id":"https://openalex.org/keywords/drug-target","display_name":"Drug target","score":0.5389268398284912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46076536178588867},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.35023343563079834},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.32688891887664795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3159092664718628},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16830208897590637},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12519147992134094}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7022256255149841},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.5873336791992188},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5570856332778931},{"id":"https://openalex.org/C2989108626","wikidata":"https://www.wikidata.org/wiki/Q904407","display_name":"Drug target","level":2,"score":0.5389268398284912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46076536178588867},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.35023343563079834},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.32688891887664795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3159092664718628},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16830208897590637},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12519147992134094},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2014.6999125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W1544009106","https://openalex.org/W1601495365","https://openalex.org/W1976526581","https://openalex.org/W1979537657","https://openalex.org/W1984014392","https://openalex.org/W1984084871","https://openalex.org/W2019707847","https://openalex.org/W2052002049","https://openalex.org/W2052684427","https://openalex.org/W2054141820","https://openalex.org/W2057195902","https://openalex.org/W2059471041","https://openalex.org/W2087064593","https://openalex.org/W2100672820","https://openalex.org/W2106029302","https://openalex.org/W2135007932","https://openalex.org/W2135880083","https://openalex.org/W2139736926","https://openalex.org/W2144000913","https://openalex.org/W2153838454","https://openalex.org/W2159482845","https://openalex.org/W2161607603","https://openalex.org/W4294216483"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W4390443207","https://openalex.org/W2038043644","https://openalex.org/W4386790794","https://openalex.org/W4391636780","https://openalex.org/W2409508359","https://openalex.org/W3002327824","https://openalex.org/W1487182515","https://openalex.org/W3157751976"],"abstract_inverted_index":{"Predicting":[0],"drug-target":[1],"interaction":[2,22],"using":[3],"computational":[4],"approaches":[5,127],"is":[6,42,57,191,200],"an":[7,21],"important":[8],"step":[9],"in":[10,37,123],"drug":[11,25,105],"discovery":[12],"and":[13,26,35,53,81,90,133,164,197,213],"repositioning.":[14],"To":[15],"predict":[16],"whether":[17,103],"there":[18,60,112],"will":[19,106],"be":[20],"between":[23],"a":[24,27,104,109,169],"target,":[28],"most":[29,72],"existing":[30,195,210],"methods":[31,75],"identify":[32],"similar":[33],"drugs":[34,52,89],"targets":[36,91],"the":[38,47,74,86,100,124,145,148,155,166,173,194,207],"database.":[39,125],"The":[40],"prediction":[41],"then":[43],"made":[44],"based":[45],"on":[46,180,182],"known":[48,116,131],"interactions":[49,120,132,142],"of":[50,73,88,147,168,175],"these":[51],"targets.":[54],"This":[55],"idea":[56],"promising.":[58],"However,":[59,93],"are":[61,113,121,128],"two":[62,208],"shortcomings":[63],"that":[64,187],"have":[65,134],"not":[66,97],"yet":[67],"been":[68],"addressed":[69],"appropriately.":[70],"Firstly,":[71],"only":[76],"use":[77],"2D":[78],"chemical":[79],"structures":[80],"protein":[82],"sequences":[83],"to":[84,138,158,171,202],"measure":[85,190],"similarity":[87,156,189],"respectively.":[92],"this":[94,151],"information":[95,163],"may":[96],"fully":[98],"capture":[99],"characteristics":[101],"determining":[102],"interact":[107],"with":[108],"target.":[110],"Secondly,":[111],"very":[114],"few":[115],"interactions,":[117],"i.e.":[118],"many":[119],"\u201cmissing\u201d":[122],"Existing":[126],"biased":[129],"towards":[130],"no":[135],"good":[136],"solutions":[137],"handle":[139,172],"possibly":[140,176],"missing":[141,177],"which":[143],"affect":[144],"accuracy":[146,205],"prediction.":[149],"In":[150],"paper,":[152],"we":[153,185],"enhance":[154],"measures":[157,196],"include":[159],"non-structural":[160],"(and":[161],"non-sequence-based)":[162],"introduce":[165],"concept":[167],"\u201csuper-target\u201d":[170],"problem":[174],"interactions.":[178],"Based":[179],"evaluations":[181],"real":[183],"data,":[184],"show":[186],"our":[188,198],"better":[192],"than":[193,206],"approach":[199],"able":[201],"achieve":[203],"higher":[204],"best":[209],"algorithms,":[211],"WNN-GIP":[212],"KBMF2K.":[214]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}