{"id":"https://openalex.org/W3134490799","doi":"https://doi.org/10.1093/bib/bbab046","title":"PreDTIs: prediction of drug\u2013target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques","display_name":"PreDTIs: prediction of drug\u2013target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques","publication_year":2021,"publication_date":"2021-01-29","ids":{"openalex":"https://openalex.org/W3134490799","doi":"https://doi.org/10.1093/bib/bbab046","mag":"3134490799","pmid":"https://pubmed.ncbi.nlm.nih.gov/33709119","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7989622"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbab046","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":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311647","https://openalex.org/P4310311648"],"host_organization_lineage_names":["University of Oxford","Oxford University Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989622","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001933676","display_name":"Saifuddin Mahmud","orcid":"https://orcid.org/0000-0002-6828-3559"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"S M Hasan Mahmud","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687323","display_name":"Wenyu Chen","orcid":"https://orcid.org/0000-0002-9933-8014"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenyu Chen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101408906","display_name":"Yongsheng Liu","orcid":"https://orcid.org/0000-0001-5382-4183"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Liu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101540530","display_name":"Md. Abdul Awal","orcid":"https://orcid.org/0000-0003-3028-4932"},"institutions":[{"id":"https://openalex.org/I124386471","display_name":"Khulna University","ror":"https://ror.org/05pny7s12","country_code":"BD","type":"education","lineage":["https://openalex.org/I124386471"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Abdul Awal","raw_affiliation_strings":["Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh","institution_ids":["https://openalex.org/I124386471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020570233","display_name":"Kawsar Ahmed","orcid":"https://orcid.org/0000-0002-4034-9819"},"institutions":[{"id":"https://openalex.org/I41173762","display_name":"Mawlana Bhashani Science and Technology University","ror":"https://ror.org/00gvj4587","country_code":"BD","type":"education","lineage":["https://openalex.org/I41173762"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Kawsar Ahmed","raw_affiliation_strings":["Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh","institution_ids":["https://openalex.org/I41173762"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023764563","display_name":"Md Habibur Rahman","orcid":"https://orcid.org/0000-0002-5068-2690"},"institutions":[{"id":"https://openalex.org/I40279923","display_name":"Islamic University","ror":"https://ror.org/04j1w0q97","country_code":"BD","type":"education","lineage":["https://openalex.org/I40279923"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Habibur Rahman","raw_affiliation_strings":["Department of Computer Science and Engineering, Islamic University, Kushtia-7003, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Islamic University, Kushtia-7003, Bangladesh","institution_ids":["https://openalex.org/I40279923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034828056","display_name":"Mohammad Ali Moni","orcid":"https://orcid.org/0000-0003-0756-1006"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mohammad Ali Moni","raw_affiliation_strings":["UNSW Digital Health, WHO Center for eHealth, School of Public Health and Community Medicine, Faculty of Medicine, The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"UNSW Digital Health, WHO Center for eHealth, School of Public Health and Community Medicine, Faculty of Medicine, The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100687323","https://openalex.org/A5034828056"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I31746571"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011,"provenance":"doaj"},"apc_paid":null,"fwci":6.889,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.999899,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"22","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9999,"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":0.9999,"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":0.9967,"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/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9949,"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/feature","display_name":"Feature (linguistics)","score":0.42237782}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7622509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6579174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5876554},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5519233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.509614},{"id":"https://openalex.org/C2780362125","wikidata":"https://www.wikidata.org/wiki/Q7254464","display_name":"Pseudo amino acid composition","level":4,"score":0.46874693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42526114},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42237782},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4130103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32388988},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C515207424","wikidata":"https://www.wikidata.org/wiki/Q8066","display_name":"Amino acid","level":2,"score":0.0},{"id":"https://openalex.org/C2779138802","wikidata":"https://www.wikidata.org/wiki/Q418602","display_name":"Dipeptide","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbab046","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":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311647","https://openalex.org/P4310311648"],"host_organization_lineage_names":["University of Oxford","Oxford University Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989622","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33709119","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989622","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61772115"}],"datasets":[],"versions":[],"referenced_works_count":88,"referenced_works":["https://openalex.org/W1500895378","https://openalex.org/W1506552881","https://openalex.org/W1678356000","https://openalex.org/W1971106435","https://openalex.org/W1974369817","https://openalex.org/W1975875968","https://openalex.org/W1991681722","https://openalex.org/W1993996526","https://openalex.org/W1998767819","https://openalex.org/W2001619934","https://openalex.org/W2004530097","https://openalex.org/W2012746420","https://openalex.org/W2018408116","https://openalex.org/W2025577942","https://openalex.org/W2033906815","https://openalex.org/W2034537627","https://openalex.org/W2044002635","https://openalex.org/W2052514400","https://openalex.org/W2057195902","https://openalex.org/W2069676201","https://openalex.org/W2071128523","https://openalex.org/W2071811516","https://openalex.org/W2076974281","https://openalex.org/W2079676258","https://openalex.org/W2093117046","https://openalex.org/W2100563036","https://openalex.org/W2108069034","https://openalex.org/W2113242816","https://openalex.org/W2123060905","https://openalex.org/W2128965734","https://openalex.org/W2132292391","https://openalex.org/W2135007932","https://openalex.org/W2137052779","https://openalex.org/W2139516171","https://openalex.org/W2141259072","https://openalex.org/W2144000913","https://openalex.org/W2153187042","https://openalex.org/W2153838454","https://openalex.org/W2157142295","https://openalex.org/W2158714788","https://openalex.org/W2159482845","https://openalex.org/W2162011385","https://openalex.org/W2165125496","https://openalex.org/W2178378573","https://openalex.org/W2233800101","https://openalex.org/W2259538443","https://openalex.org/W2294516783","https://openalex.org/W2294798173","https://openalex.org/W2295598076","https://openalex.org/W2295730657","https://openalex.org/W2343107734","https://openalex.org/W2546726420","https://openalex.org/W2558825838","https://openalex.org/W2614433385","https://openalex.org/W2729788619","https://openalex.org/W2736811192","https://openalex.org/W2744066370","https://openalex.org/W2750547662","https://openalex.org/W2753550436","https://openalex.org/W2754595644","https://openalex.org/W2756016415","https://openalex.org/W2760827857","https://openalex.org/W2766430481","https://openalex.org/W2767891136","https://openalex.org/W2770841764","https://openalex.org/W2794498378","https://openalex.org/W2803560454","https://openalex.org/W2810819381","https://openalex.org/W2886544065","https://openalex.org/W2904250082","https://openalex.org/W2904742480","https://openalex.org/W2923682152","https://openalex.org/W2940724395","https://openalex.org/W2963722686","https://openalex.org/W2973041138","https://openalex.org/W2986368198","https://openalex.org/W3000043291","https://openalex.org/W3009043034","https://openalex.org/W3011253069","https://openalex.org/W3033689705","https://openalex.org/W3039465695","https://openalex.org/W3039942997","https://openalex.org/W3040062994","https://openalex.org/W3082260310","https://openalex.org/W3088070507","https://openalex.org/W3102476541","https://openalex.org/W3175318380","https://openalex.org/W4250503569"],"related_works":["https://openalex.org/W4386564352","https://openalex.org/W4296209631","https://openalex.org/W2952668426","https://openalex.org/W2802989292","https://openalex.org/W2784083480","https://openalex.org/W2561617217","https://openalex.org/W2355801475","https://openalex.org/W2163884975","https://openalex.org/W2025378473","https://openalex.org/W1996989509"],"abstract_inverted_index":{"Discovering":[0],"drug-target":[1,71,91],"(protein)":[2],"interactions":[3,55],"(DTIs)":[4],"is":[5,33,125,202],"of":[6,27,101,190],"great":[7],"significance":[8],"for":[9,46,156,222,229],"researching":[10],"and":[11,22,36,62,116,122,143,153,164,176,212,238],"developing":[12],"novel":[13,90],"drugs,":[14],"having":[15],"a":[16,67,89,134,146],"tremendous":[17],"advantage":[18],"to":[19,57,137,149,169,173,185,205,218],"pharmaceutical":[20],"industries":[21],"patients.":[23],"However,":[24],"the":[25,76,98,102,108,123,139,151,158,170,177,187,191,198,230],"prediction":[26,93,188],"DTIs":[28],"using":[29,234],"wet-lab":[30],"experimental":[31],"methods":[32,42,208],"generally":[34],"expensive":[35],"time-consuming.":[37],"Therefore,":[38],"different":[39],"machine":[40],"learning-based":[41],"have":[43,80],"been":[44,82],"developed":[45],"this":[47],"purpose,":[48],"but":[49],"there":[50],"are":[51,66,105,167],"still":[52],"substantial":[53],"unknown":[54,223],"needed":[56],"discover.":[58],"Furthermore,":[59],"data":[60],"imbalance":[61,141],"feature":[63,99],"dimensionality":[64],"problems":[65],"critical":[68],"challenge":[69],"in":[70,209],"datasets,":[72],"which":[73],"can":[74],"decrease":[75],"classifier":[77],"performances":[78],"that":[79,197],"not":[81],"significantly":[83,203],"addressed":[84],"yet.":[85],"This":[86],"paper":[87],"proposed":[88,192,199],"interaction":[92],"method":[94,182],"called":[95],"PreDTIs.":[96],"First,":[97],"vectors":[100],"protein":[103,245],"sequence":[104],"extracted":[106],"by":[107],"pseudo-position-specific":[109],"scoring":[110],"matrix":[111],"(PsePSSM),":[112],"dipeptide":[113],"composition":[114,120],"(DC)":[115],"pseudo":[117],"amino":[118],"acid":[119],"(PseAAC);":[121],"drug":[124],"encoded":[126],"with":[127],"MACCS":[128],"substructure":[129],"fingerings.":[130],"Besides,":[131],"we":[132],"propose":[133],"FastUS":[135],"algorithm":[136,148],"handle":[138],"class":[140],"problem":[142],"also":[144],"develop":[145],"MoIFS":[147],"remove":[150],"irrelevant":[152],"redundant":[154],"features":[155,166],"getting":[157],"best":[159],"optimal":[160,165],"features.":[161],"Finally,":[162],"balanced":[163],"provided":[168],"LightGBM":[171],"Classifier":[172],"identify":[174],"DTIs,":[175,211],"5-fold":[178],"CV":[179],"validation":[180],"test":[181],"was":[183],"applied":[184],"evaluate":[186],"ability":[189],"method.":[193],"Prediction":[194],"results":[195],"indicate":[196],"model":[200,214],"PreDTIs":[201],"superior":[204],"other":[206],"existing":[207,235],"predicting":[210],"our":[213],"could":[215],"be":[216],"used":[217],"discover":[219],"new":[220],"drugs":[221,236],"disorders":[224],"or":[225],"infections,":[226],"such":[227],"as":[228],"coronavirus":[231,243],"disease":[232],"2019":[233],"compounds":[237],"severe":[239],"acute":[240],"respiratory":[241],"syndrome":[242],"2":[244],"sequences.":[246]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3134490799","counts_by_year":[{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":3}],"updated_date":"2025-01-17T11:37:39.896361","created_date":"2021-03-15"}