{"id":"https://openalex.org/W4313525713","doi":"https://doi.org/10.1109/bibm55620.2022.9994908","title":"HS-DTI: Drug-target Interaction Prediction Based on Hierarchical Networks and Multi-order Sequence Effect","display_name":"HS-DTI: Drug-target Interaction Prediction Based on Hierarchical Networks and Multi-order Sequence Effect","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313525713","doi":"https://doi.org/10.1109/bibm55620.2022.9994908"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9994908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9994908","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5004266551","display_name":"Xu Gong","orcid":"https://orcid.org/0000-0003-2137-7694"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Gong","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence,Chongqing,China","Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076490299","display_name":"Maotao Liu","orcid":"https://orcid.org/0009-0006-8586-2129"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maotao Liu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence,Chongqing,China","Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101850529","display_name":"Haichao Sun","orcid":"https://orcid.org/0000-0003-3624-2565"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haichao Sun","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence,Chongqing,China","Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080841606","display_name":"Min Li","orcid":"https://orcid.org/0000-0003-3276-6812"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence,Chongqing,China","Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426167","display_name":"Qun Liu","orcid":"https://orcid.org/0000-0002-6329-3096"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Liu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence,Chongqing,China","Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004266551"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":2.8535,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93151815,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"322","last_page":"327"},"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/T10044","display_name":"Protein Structure and Dynamics","score":0.996399998664856,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.993399977684021,"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":0.696305513381958},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.582381546497345},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5379430055618286},{"id":"https://openalex.org/keywords/pharmacogenomics","display_name":"Pharmacogenomics","score":0.4305424690246582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40252378582954407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3797725439071655},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.2120072841644287},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09803584218025208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.696305513381958},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.582381546497345},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5379430055618286},{"id":"https://openalex.org/C170734499","wikidata":"https://www.wikidata.org/wiki/Q1152227","display_name":"Pharmacogenomics","level":2,"score":0.4305424690246582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40252378582954407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3797725439071655},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2120072841644287},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09803584218025208},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9994908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9994908","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321135","display_name":"Chongqing University","ror":"https://ror.org/023rhb549"},{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1521626043","https://openalex.org/W1522301498","https://openalex.org/W1996989509","https://openalex.org/W2035585923","https://openalex.org/W2109991441","https://openalex.org/W2460225311","https://openalex.org/W2474546929","https://openalex.org/W2605952223","https://openalex.org/W2768375180","https://openalex.org/W2785947426","https://openalex.org/W2808199968","https://openalex.org/W2892271309","https://openalex.org/W2900318991","https://openalex.org/W2911871527","https://openalex.org/W2921296948","https://openalex.org/W2951659295","https://openalex.org/W2962711740","https://openalex.org/W2962876364","https://openalex.org/W2964015378","https://openalex.org/W2965351431","https://openalex.org/W2997234557","https://openalex.org/W3004604833","https://openalex.org/W3005108264","https://openalex.org/W3031603244","https://openalex.org/W3096561213","https://openalex.org/W3116310237","https://openalex.org/W3132881969","https://openalex.org/W3187178706","https://openalex.org/W3188463051","https://openalex.org/W3206721644","https://openalex.org/W3207106706","https://openalex.org/W3207255525","https://openalex.org/W4206369686","https://openalex.org/W4225265778","https://openalex.org/W4226166724","https://openalex.org/W4226227861","https://openalex.org/W4287828570","https://openalex.org/W4288262508","https://openalex.org/W4297733535","https://openalex.org/W6631190155","https://openalex.org/W6726873649","https://openalex.org/W6753331806","https://openalex.org/W6754929296","https://openalex.org/W6767235624","https://openalex.org/W6771809849"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Computer-aided":[0],"drug":[1,11,17,33,150,154],"design":[2,34],"utilizes":[3],"powerful":[4],"computers":[5],"to":[6,111,142,214],"simulate":[7],"the":[8,28,59,69,79,92,131,138,144,153,165,172,176,186,201,204],"tasks":[9],"in":[10,31,87,148],"design,":[12],"which":[13],"could":[14],"significantly":[15],"accelerate":[16],"development":[18],"and":[19,35,43,64,81,117,124,159,168,175],"reduce":[20],"cost":[21],"consumption.":[22],"Drug-target":[23],"interaction":[24],"(DTI)":[25],"prediction":[26],"is":[27,135],"critical":[29],"stage":[30],"computer-aided":[32],"has":[36],"drawn":[37],"increased":[38],"interest":[39],"from":[40],"both":[41],"academia":[42],"pharmacogenomics.":[44],"A":[45],"variety":[46],"of":[47,62,83,96,115,171,188,203],"computational":[48,105],"models":[49,75],"for":[50],"DTI":[51],"have":[52],"been":[53],"available":[54],"that":[55,73,109],"rely":[56],"only":[57],"on":[58,152,164,194],"linear":[60],"representation":[61],"compounds":[63],"amino":[65,179],"acid":[66,180],"sequences.":[67],"However,":[68],"significant":[70],"drawbacks":[71],"are":[72,210],"these":[74],"do":[76],"not":[77],"consider":[78],"structures":[80,123,147],"functions":[82],"specific":[84],"functional":[85,121,145],"groups":[86],"drugs":[88,116],"as":[89,91],"well":[90],"multi-order":[93,126],"sequence":[94,127,161],"effect":[95],"proteins.":[97],"In":[98],"this":[99,216],"study,":[100],"we":[101,183],"present":[102],"a":[103],"novel":[104],"model":[106],"named":[107],"HS-DTI":[108,189],"attempts":[110],"extract":[112],"plentiful":[113],"features":[114],"proteins":[118],"by":[119],"capturing":[120],"group":[122,146],"incorporating":[125],"information,":[128],"respectively.":[129],"Specifically,":[130],"probability":[132],"assignment":[133],"matrix":[134],"learned":[136],"through":[137],"hierarchical":[139],"network":[140],"module":[141],"identify":[143],"reconstructed":[149],"graphs":[151],"encoder.":[155],"Next,":[156],"modelling":[157],"1st-order":[158],"2nd-order":[160],"information":[162],"based":[163],"hydrophilicity,":[166],"hydrophobicity,":[167],"side-chain":[169],"mass":[170],"most":[173],"contiguous":[174,178],"second-most":[177],"residues.":[181],"Finally,":[182],"comprehensively":[184],"evaluated":[185],"performance":[187,217],"with":[190],"several":[191],"state-of-the-art":[192],"methods":[193],"real-world":[195],"datasets.":[196],"Experimental":[197],"results":[198],"clearly":[199],"show":[200],"effectiveness":[202],"proposed":[205],"model.":[206],"Additionally,":[207],"ablation":[208],"experiments":[209],"also":[211],"being":[212],"devised":[213],"validate":[215],"improvement.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-01-06T00:00:00"}