{"id":"https://openalex.org/W2067635388","doi":"https://doi.org/10.1109/ijcnn.2014.6889476","title":"Using Chou's amphiphilic Pseudo-Amino Acid Composition and Extreme Learning Machine for prediction of Protein-protein interactions","display_name":"Using Chou's amphiphilic Pseudo-Amino Acid Composition and Extreme Learning Machine for prediction of Protein-protein interactions","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2067635388","doi":"https://doi.org/10.1109/ijcnn.2014.6889476","mag":"2067635388"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5110805738","display_name":"Qiaoying Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao-Ying Huang","raw_affiliation_strings":["School of Computer Science and Technology, Shenzhen Graduate School, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","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, China","Coll. of Comput. Sci. & Software Eng., Shenzhen Univ. Shenzhen, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Coll. of Comput. Sci. & Software Eng., Shenzhen Univ. Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424064","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0001-8316-5289"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong","Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052762681","display_name":"Zexuan Zhu","orcid":"https://orcid.org/0000-0001-8479-6904"},"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":"Zexuan Zhu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","Coll. of Comput. Sci. & Software Eng., Shenzhen Univ. Shenzhen, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Coll. of Comput. Sci. & Software Eng., Shenzhen Univ. Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"2952","last_page":"2956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9905999898910522,"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":0.9864000082015991,"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":0.8107435703277588},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.766602635383606},{"id":"https://openalex.org/keywords/pseudo-amino-acid-composition","display_name":"Pseudo amino acid composition","score":0.6945192217826843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6749081611633301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6665605902671814},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6329271793365479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5967980623245239},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.46178916096687317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38012662529945374},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20015448331832886},{"id":"https://openalex.org/keywords/amino-acid","display_name":"Amino acid","score":0.19287285208702087},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08997046947479248}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.8107435703277588},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.766602635383606},{"id":"https://openalex.org/C2780362125","wikidata":"https://www.wikidata.org/wiki/Q7254464","display_name":"Pseudo amino acid composition","level":4,"score":0.6945192217826843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6749081611633301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6665605902671814},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6329271793365479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5967980623245239},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.46178916096687317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38012662529945374},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20015448331832886},{"id":"https://openalex.org/C515207424","wikidata":"https://www.wikidata.org/wiki/Q8066","display_name":"Amino acid","level":2,"score":0.19287285208702087},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08997046947479248},{"id":"https://openalex.org/C2779138802","wikidata":"https://www.wikidata.org/wiki/Q418602","display_name":"Dipeptide","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/57468","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/57468","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W581677283","https://openalex.org/W1982267716","https://openalex.org/W1998354148","https://openalex.org/W2008683476","https://openalex.org/W2013503778","https://openalex.org/W2028928739","https://openalex.org/W2029008895","https://openalex.org/W2037036397","https://openalex.org/W2040271085","https://openalex.org/W2084619201","https://openalex.org/W2093627685","https://openalex.org/W2104315543","https://openalex.org/W2111072639","https://openalex.org/W2117469414","https://openalex.org/W2119583098","https://openalex.org/W2122290378","https://openalex.org/W2128357223","https://openalex.org/W2134603844","https://openalex.org/W2147774652","https://openalex.org/W2152705149","https://openalex.org/W2155004936","https://openalex.org/W2162392441","https://openalex.org/W2167869241","https://openalex.org/W2170682402","https://openalex.org/W4240680233","https://openalex.org/W6678703586","https://openalex.org/W6681875201"],"related_works":["https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W2889302474","https://openalex.org/W2474252776","https://openalex.org/W3195479200","https://openalex.org/W2362489261","https://openalex.org/W3173525510"],"abstract_inverted_index":{"Protein-protein":[0],"interactions":[1],"(PPIs)":[2],"play":[3],"crucial":[4],"roles":[5],"in":[6,119],"the":[7,27,62,80,102,106,142,146,151,154,159,165,171,182,205],"execution":[8],"of":[9,24,64,82,93,96,105,133,145,153,168,184],"various":[10],"cellular":[11,15],"processes.":[12],"Almost":[13],"every":[14],"process":[16],"relies":[17],"on":[18,72,141,164],"transient":[19],"or":[20],"permanent":[21],"physical":[22],"bindings":[23],"proteins.":[25],"Unfortunately,":[26],"experimental":[28],"methods":[29],"for":[30,46,211,221],"identifying":[31],"PPIs":[32,59,166,222],"are":[33,188],"both":[34],"time-consuming":[35],"and":[36,101,135,214],"expensive.":[37],"Therefore,":[38],"it":[39,215],"is":[40,55,69,90,124,130,208],"important":[41],"to":[42,57,157,190],"develop":[43],"computational":[44],"approaches":[45],"predicting":[47,212],"PPIs.":[48],"In":[49],"this":[50,112],"study,":[51],"a":[52,91,94,116,131,218],"novel":[53],"approach":[54,207],"presented":[56],"predict":[58],"using":[60],"only":[61],"information":[63],"protein":[65],"sequences.":[66],"This":[67],"method":[68,113,139,173,193],"developed":[70],"based":[71,140],"learning":[73],"algorithm-Extreme":[74],"Learning":[75],"Machine":[76,199],"(ELM)":[77],"combined":[78],"with":[79,178,194],"concept":[81],"Chous":[83],"Pseudo-Amino":[84],"Acid":[85],"Composition":[86],"(PseAAC)":[87],"composition.":[88],"PseAAC":[89],"combination":[92],"set":[95],"discrete":[97],"sequence":[98],"correlation":[99],"factors":[100],"20":[103],"components":[104],"conventional":[107],"amino":[108],"acid":[109],"composition,":[110],"so":[111],"can":[114,216],"observe":[115],"remarkable":[117],"improvement":[118],"prediction":[120,127,176],"quality.":[121],"ELM":[122],"classifier":[123],"selected":[125],"as":[126],"engine,":[128],"which":[129],"kind":[132],"accurate":[134],"fast-learning":[136],"innovative":[137],"classification":[138],"random":[143],"generation":[144],"input-to-hidden-units":[147],"weights":[148],"followed":[149],"by":[150],"resolution":[152],"linear":[155],"equations":[156],"obtain":[158],"hidden-to-output":[160],"weights.":[161],"When":[162],"performed":[163,189],"data":[167],"Saccharomyces":[169],"cerevisiae,":[170],"proposed":[172,206],"achieved":[174],"79.66%":[175],"accuracy":[177],"79.16%":[179],"sensitivity":[180],"at":[181],"precision":[183],"79.96%.":[185],"Extensive":[186],"experiments":[187],"compare":[191],"our":[192],"state-of-the-art":[195],"techniques":[196],"Support":[197],"Vector":[198],"(SVM).":[200],"Achieved":[201],"results":[202],"show":[203],"that":[204],"very":[209],"promising":[210],"PPIs,":[213],"be":[217],"helpful":[219],"supplement":[220],"prediction.":[223]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}