{"id":"https://openalex.org/W4404238226","doi":"https://doi.org/10.1109/tcbb.2024.3489614","title":"iAnOxPep: A Machine Learning Model for the Identification of Anti-Oxidative Peptides Using Ensemble Learning","display_name":"iAnOxPep: A Machine Learning Model for the Identification of Anti-Oxidative Peptides Using Ensemble Learning","publication_year":2024,"publication_date":"2024-11-11","ids":{"openalex":"https://openalex.org/W4404238226","doi":"https://doi.org/10.1109/tcbb.2024.3489614","pmid":"https://pubmed.ncbi.nlm.nih.gov/39527436"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2024.3489614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2024.3489614","pdf_url":null,"source":{"id":"https://openalex.org/S5407042751","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"2998-4165","issn":["2998-4165"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE 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/A5071375565","display_name":"Mir Tanveerul Hassan","orcid":"https://orcid.org/0009-0004-5089-795X"},"institutions":[{"id":"https://openalex.org/I172553438","display_name":"Jeonju National University of Education","ror":"https://ror.org/054e4t190","country_code":"KR","type":"education","lineage":["https://openalex.org/I172553438"]},{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Mir Tanveerul Hassan","raw_affiliation_strings":["Graduate School of Electronics and Information Engineering, Jeonbuk National University, Jeonju, South Korea","School of Electronics and Information Engineering, Jeonbuk National University, Jeonju, South Korea"],"affiliations":[{"raw_affiliation_string":"Graduate School of Electronics and Information Engineering, Jeonbuk National University, Jeonju, South Korea","institution_ids":["https://openalex.org/I80611190","https://openalex.org/I172553438"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Jeonbuk National University, Jeonju, South Korea","institution_ids":["https://openalex.org/I80611190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008953921","display_name":"Hilal Tayara","orcid":"https://orcid.org/0000-0001-5678-3479"},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hilal Tayara","raw_affiliation_strings":["School of International Engineering and Science, Jeonbuk National University, Jeonju, South Korea"],"affiliations":[{"raw_affiliation_string":"School of International Engineering and Science, Jeonbuk National University, Jeonju, South Korea","institution_ids":["https://openalex.org/I80611190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031342322","display_name":"Kil To Chong","orcid":"https://orcid.org/0000-0002-1952-0001"},"institutions":[{"id":"https://openalex.org/I172553438","display_name":"Jeonju National University of Education","ror":"https://ror.org/054e4t190","country_code":"KR","type":"education","lineage":["https://openalex.org/I172553438"]},{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kil To Chong","raw_affiliation_strings":["Graduate School of Electronics and Information Engineering, Jeonbuk National University, Jeonju, South Korea","School of Electronics and Information Engineering, Advances Electronics and Information Research Center, Jeonbuk National University, Jeonju, South Korea"],"affiliations":[{"raw_affiliation_string":"Graduate School of Electronics and Information Engineering, Jeonbuk National University, Jeonju, South Korea","institution_ids":["https://openalex.org/I80611190","https://openalex.org/I172553438"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Advances Electronics and Information Research Center, Jeonbuk National University, Jeonju, South Korea","institution_ids":["https://openalex.org/I80611190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071375565"],"corresponding_institution_ids":["https://openalex.org/I172553438","https://openalex.org/I80611190"],"apc_list":null,"apc_paid":null,"fwci":3.5243,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93662037,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"85","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9760000109672546,"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":0.9760000109672546,"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":0.9732000231742859,"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/ensemble-learning","display_name":"Ensemble learning","score":0.6428682804107666},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.626897394657135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5186833143234253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.508012056350708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48271653056144714},{"id":"https://openalex.org/keywords/oxidative-phosphorylation","display_name":"Oxidative phosphorylation","score":0.42235782742500305},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.33978718519210815},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.3101838231086731},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.19306564331054688},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14048203825950623},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.051152586936950684}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6428682804107666},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.626897394657135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5186833143234253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.508012056350708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48271653056144714},{"id":"https://openalex.org/C57600042","wikidata":"https://www.wikidata.org/wiki/Q227564","display_name":"Oxidative phosphorylation","level":2,"score":0.42235782742500305},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.33978718519210815},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.3101838231086731},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.19306564331054688},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14048203825950623},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.051152586936950684}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098406","descriptor_name":"Ensemble Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098406","descriptor_name":"Ensemble Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098406","descriptor_name":"Ensemble Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098406","descriptor_name":"Ensemble Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000975","descriptor_name":"Antioxidants","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D000975","descriptor_name":"Antioxidants","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D000975","descriptor_name":"Antioxidants","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D000975","descriptor_name":"Antioxidants","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D000975","descriptor_name":"Antioxidants","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D000975","descriptor_name":"Antioxidants","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D000975","descriptor_name":"Antioxidants","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D000975","descriptor_name":"Antioxidants","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2024.3489614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2024.3489614","pdf_url":null,"source":{"id":"https://openalex.org/S5407042751","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"2998-4165","issn":["2998-4165"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:39527436","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39527436","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 transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W161511009","https://openalex.org/W1494346809","https://openalex.org/W1981091069","https://openalex.org/W2012694124","https://openalex.org/W2035396914","https://openalex.org/W2042084565","https://openalex.org/W2047672715","https://openalex.org/W2087790613","https://openalex.org/W2107539619","https://openalex.org/W2114358087","https://openalex.org/W2114539934","https://openalex.org/W2139955764","https://openalex.org/W2145957695","https://openalex.org/W2162757298","https://openalex.org/W2170747616","https://openalex.org/W2175270296","https://openalex.org/W2506002793","https://openalex.org/W2576513087","https://openalex.org/W2793168264","https://openalex.org/W2794652227","https://openalex.org/W2896405623","https://openalex.org/W2905571899","https://openalex.org/W2937074474","https://openalex.org/W2949676527","https://openalex.org/W2977082078","https://openalex.org/W2989775272","https://openalex.org/W3000289599","https://openalex.org/W3002028332","https://openalex.org/W3111051020","https://openalex.org/W3112842176","https://openalex.org/W3124952856","https://openalex.org/W3137490788","https://openalex.org/W3164183400","https://openalex.org/W4213149192","https://openalex.org/W4213290949","https://openalex.org/W4213345021","https://openalex.org/W4220996110","https://openalex.org/W4285160370","https://openalex.org/W4286210822","https://openalex.org/W4315647386","https://openalex.org/W4318263137","https://openalex.org/W4383879114","https://openalex.org/W4384297362","https://openalex.org/W4387676171","https://openalex.org/W4388801915","https://openalex.org/W4391749456","https://openalex.org/W4392509045","https://openalex.org/W4394602519","https://openalex.org/W4394819507","https://openalex.org/W4399696970","https://openalex.org/W6687366049"],"related_works":["https://openalex.org/W2983444360","https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W4210302090","https://openalex.org/W3092276832","https://openalex.org/W4375951447"],"abstract_inverted_index":{"Due":[0],"to":[1,18,22,111,122,144,164],"their":[2],"safety,":[3],"high":[4],"activity,":[5],"and":[6,34,89,97,106,167,185],"plentiful":[7],"sources,":[8],"antioxidant":[9],"peptides,":[10],"particularly":[11],"those":[12],"produced":[13],"from":[14],"food,":[15],"are":[16],"thought":[17],"be":[19,75,196],"prospective":[20],"competitors":[21],"synthetic":[23],"antioxidants":[24],"in":[25,46,77,175],"the":[26,57,68,78,127,170,176,181,192],"fight":[27],"against":[28],"free":[29],"radical-mediated":[30],"illnesses.":[31],"The":[32,83],"lengthy":[33],"laborious":[35],"trial-and-error":[36],"method":[37,84,194],"for":[38],"identifying":[39,186],"antioxidative":[40],"peptides":[41],"(AOP)":[42],"has":[43,85],"raised":[44],"interest":[45],"creating":[47],"computational-based":[48],"methods.":[49],"There":[50],"exist":[51],"two":[52,92],"state-of-the-art":[53],"AOP":[54,81],"predictors;":[55],"however,":[56],"restriction":[58],"on":[59,91],"peptide":[60],"sequence":[61],"length":[62],"makes":[63],"them":[64],"inviable.":[65],"By":[66],"overcoming":[67],"aforementioned":[69],"problem,":[70],"a":[71,94,146],"novel":[72],"predictor":[73],"might":[74],"useful":[76],"context":[79],"of":[80,130,172,178,183],"prediction.":[82],"been":[86],"trained,":[87],"tested,":[88],"evaluated":[90],"datasets:":[93],"balanced":[95],"one":[96],"an":[98,197],"unbalanced":[99],"one.":[100],"We":[101],"used":[102],"seven":[103],"different":[104],"descriptors":[105],"five":[107,124,136],"machine-learning":[108],"(ML)":[109],"classifiers":[110,118],"construct":[112],"35":[113,131],"baseline":[114,132,165],"models.":[115,133],"Five":[116],"ML":[117],"were":[119,138],"further":[120],"trained":[121],"create":[123,145],"meta-models":[125,137],"using":[126],"combined":[128],"output":[129],"Finally,":[134],"these":[135],"aggregated":[139],"together":[140],"through":[141],"ensemble":[142],"learning":[143],"robust":[147],"predictive":[148],"model":[149,157],"named":[150],"iAnOxPep.":[151],"On":[152],"both":[153],"datasets,":[154],"our":[155,173],"proposed":[156],"demonstrated":[158],"good":[159],"prediction":[160],"performance":[161],"when":[162],"compared":[163],"models":[166],"meta-models,":[168],"demonstrating":[169],"superiority":[171],"approach":[174],"identification":[177],"AOPs.":[179],"For":[180],"purpose":[182],"screening":[184],"possible":[187],"AOPs,":[188],"we":[189],"anticipate":[190],"that":[191],"iAnOxPep":[193],"will":[195],"invaluable":[198],"tool.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
