{"id":"https://openalex.org/W1992011833","doi":"https://doi.org/10.1109/mc.2013.6608211","title":"Prediction of protein-protein interactions from amino acid sequences using extreme learning machine combined with auto covariance descriptor","display_name":"Prediction of protein-protein interactions from amino acid sequences using extreme learning machine combined with auto covariance descriptor","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W1992011833","doi":"https://doi.org/10.1109/mc.2013.6608211","mag":"1992011833"},"language":"en","primary_location":{"id":"doi:10.1109/mc.2013.6608211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mc.2013.6608211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Memetic Computing (MC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019805735","display_name":"Zhu\u2010Hong You","orcid":"https://orcid.org/0000-0003-1266-2696"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu-Hong You","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","College of Computer Science and Software Engineering, Shenzhen University Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082172794","display_name":"Liping Li","orcid":"https://orcid.org/0000-0002-7785-929X"},"institutions":[{"id":"https://openalex.org/I4210103541","display_name":"Institute of Soil and Water Conservation","ror":"https://ror.org/013wv8d67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210103541","https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Li","raw_affiliation_strings":["Institute of Soil and Water Conservation of Gansu, Lanzhou, Gansu, China","Inst. of Soil & Water Conservation of Gansu, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Soil and Water Conservation of Gansu, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I4210103541"]},{"raw_affiliation_string":"Inst. of Soil & Water Conservation of Gansu, Lanzhou, China","institution_ids":["https://openalex.org/I4210103541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025341885","display_name":"Zhen Ji","orcid":"https://orcid.org/0000-0003-4006-7456"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Ji","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","College of Computer Science and Software Engineering, Shenzhen University Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719013","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-0188-1394"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","College of Computer Science and Software Engineering, Shenzhen University Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084195289","display_name":"Sen Guo","orcid":"https://orcid.org/0000-0002-2681-0576"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Guo","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","College of Computer Science and Software Engineering, Shenzhen University Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"104","issue":null,"first_page":"80","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9983999729156494,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9943000078201294,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9936000108718872,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.799911618232727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6942206621170044},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6814444661140442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6235203742980957},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5699071288108826},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5365085601806641},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5143710374832153},{"id":"https://openalex.org/keywords/protein-sequencing","display_name":"Protein sequencing","score":0.4350129961967468},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42197859287261963},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2500982880592346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17279472947120667},{"id":"https://openalex.org/keywords/peptide-sequence","display_name":"Peptide sequence","score":0.17059758305549622},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09659141302108765}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.799911618232727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942206621170044},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6814444661140442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6235203742980957},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5699071288108826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5365085601806641},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5143710374832153},{"id":"https://openalex.org/C10010492","wikidata":"https://www.wikidata.org/wiki/Q3142557","display_name":"Protein sequencing","level":4,"score":0.4350129961967468},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42197859287261963},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2500982880592346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17279472947120667},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.17059758305549622},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09659141302108765},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/mc.2013.6608211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mc.2013.6608211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Memetic Computing (MC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1585902587","https://openalex.org/W1977995696","https://openalex.org/W1982267716","https://openalex.org/W2005162839","https://openalex.org/W2013503778","https://openalex.org/W2026131661","https://openalex.org/W2029008895","https://openalex.org/W2030323492","https://openalex.org/W2037036397","https://openalex.org/W2040271085","https://openalex.org/W2065304353","https://openalex.org/W2084619201","https://openalex.org/W2091568186","https://openalex.org/W2104315543","https://openalex.org/W2111072639","https://openalex.org/W2116117181","https://openalex.org/W2119583098","https://openalex.org/W2134603844","https://openalex.org/W2143720865","https://openalex.org/W2147774652","https://openalex.org/W2152705149","https://openalex.org/W2155004936","https://openalex.org/W2163480486","https://openalex.org/W2167869241","https://openalex.org/W2170682402","https://openalex.org/W6679935922"],"related_works":["https://openalex.org/W2345184372","https://openalex.org/W3013515612","https://openalex.org/W2136184105","https://openalex.org/W3185179407","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2160451891","https://openalex.org/W2336974148","https://openalex.org/W2056016498","https://openalex.org/W2277768259"],"abstract_inverted_index":{"Protein-protein":[0],"interactions":[1,55,79],"(PPIs)":[2,56],"are":[3,27,171],"crucial":[4],"for":[5,24,40,51,77,194],"almost":[6],"all":[7],"cellular":[8],"processes,":[9],"including":[10],"metabolic":[11],"cycles,":[12],"DNA":[13],"transcription":[14],"and":[15,17,30,100,118,197],"replication,":[16],"signaling":[18],"cascades.":[19],"Unfortunately,":[20],"the":[21,78,87,95,109,125,129,134,137,142,148,154,165,188],"experimental":[22,204],"methods":[23],"identifying":[25,52],"PPIs":[26],"both":[28],"time-consuming":[29],"expensive.":[31],"Therefore,":[32],"it":[33],"is":[34,113,191],"important":[35],"to":[36,103,140,173,203],"develop":[37],"computational":[38],"approaches":[39],"predicting":[41,195],"PPIs.":[42],"In":[43],"this":[44,91],"paper,":[45],"a":[46,66,82,114,200],"sequence-based":[47],"method":[48,92,122,156,176],"was":[49],"developed":[50],"new":[53],"protein-protein":[54],"by":[57,133],"means":[58],"of":[59,116,128,136,151,167],"Extreme":[60],"Learning":[61],"Machine":[62,182],"(ELM)":[63],"combined":[64],"with":[65,161,177],"novel":[67],"representation":[68],"using":[69],"auto":[70],"covariance":[71],"(AC).":[72],"The":[73],"AC":[74],"descriptors":[75],"account":[76,99],"between":[80],"residues":[81],"certain":[83],"distance":[84],"apart":[85],"in":[86],"protein":[88,110],"sequence,":[89],"thus":[90],"adequately":[93],"takes":[94],"neighboring":[96],"effect":[97],"into":[98],"enables":[101],"us":[102],"extract":[104],"more":[105],"PPI":[106,149],"information":[107],"from":[108],"sequences.":[111],"ELM":[112],"kind":[115],"accurate":[117],"fast-learning":[119],"innovative":[120],"classification":[121],"based":[123],"on":[124,147],"random":[126],"generation":[127],"input-to-hidden-units":[130],"weights":[131],"followed":[132],"resolution":[135],"linear":[138],"equations":[139],"obtain":[141],"hidden-tooutput":[143],"weights.":[144],"When":[145],"performed":[146,172],"data":[150],"Saccharomyces":[152],"cerevisiae,":[153],"proposed":[155,189],"achieved":[157],"90.42%":[158],"prediction":[159],"accuracy":[160],"90.12%":[162],"sensitivity":[163],"at":[164],"precision":[166],"90.67%.":[168],"Extensive":[169],"experiments":[170],"compare":[174],"our":[175],"state-of-the-art":[178],"techniques":[179],"Support":[180],"Vector":[181],"(SVM).":[183],"Achieved":[184],"results":[185],"show":[186],"that":[187],"approach":[190],"very":[192],"promising":[193],"PPI,":[196],"would":[198],"make":[199],"helpful":[201],"supplement":[202],"approaches.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}