{"id":"https://openalex.org/W2116551926","doi":"https://doi.org/10.1109/dmo.2009.5341902","title":"A classification of &amp;#x201C;Gracilaria changii&amp;#x201D; protein sequences using back-propagation classifier","display_name":"A classification of &amp;#x201C;Gracilaria changii&amp;#x201D; protein sequences using back-propagation classifier","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2116551926","doi":"https://doi.org/10.1109/dmo.2009.5341902","mag":"2116551926"},"language":"en","primary_location":{"id":"doi:10.1109/dmo.2009.5341902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dmo.2009.5341902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd Conference on Data Mining and Optimization","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/A5061477575","display_name":"Nur Shazila Mohamed","orcid":null},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nur Shazila Mohamed","raw_affiliation_strings":["Faculty of Information Science and Technology, Universiti Kebangsaan, Bangi, Selangor, Malaysia","Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Universiti Kebangsaan, Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074274712","display_name":"Zulaiha Ali Othman","orcid":"https://orcid.org/0000-0002-4238-5266"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Zulaiha Ali Othman","raw_affiliation_strings":["Faculty of Information Science and Technology, Universiti Kebangsaan, Bangi, Selangor, Malaysia","Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Universiti Kebangsaan, Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042883130","display_name":"Azuraliza Abu Bakar","orcid":null},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Azuraliza Abu Bakar","raw_affiliation_strings":["Faculty of Information Science and Technology, Universiti Kebangsaan, Bangi, Selangor, Malaysia","Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Universiti Kebangsaan, Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Malaysia","institution_ids":["https://openalex.org/I885383172"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1369,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55927674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"94","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9945999979972839,"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":0.9945999979972839,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9746000170707703,"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/T12388","display_name":"Identification and Quantification in Food","score":0.9642999768257141,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6715378761291504},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.669285237789154},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6362540125846863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5953434705734253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5822961926460266},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45743802189826965},{"id":"https://openalex.org/keywords/protein-sequencing","display_name":"Protein sequencing","score":0.4245384931564331},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3483996093273163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3209776282310486},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19738143682479858},{"id":"https://openalex.org/keywords/peptide-sequence","display_name":"Peptide sequence","score":0.15764999389648438},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.05926641821861267}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6715378761291504},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.669285237789154},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6362540125846863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5953434705734253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5822961926460266},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45743802189826965},{"id":"https://openalex.org/C10010492","wikidata":"https://www.wikidata.org/wiki/Q3142557","display_name":"Protein sequencing","level":4,"score":0.4245384931564331},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3483996093273163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3209776282310486},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19738143682479858},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.15764999389648438},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.05926641821861267},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dmo.2009.5341902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dmo.2009.5341902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd Conference on Data Mining and Optimization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W109563165","https://openalex.org/W111890315","https://openalex.org/W208128215","https://openalex.org/W1486919291","https://openalex.org/W1543659671","https://openalex.org/W1585779470","https://openalex.org/W1596290048","https://openalex.org/W1641527190","https://openalex.org/W1793789538","https://openalex.org/W1861897873","https://openalex.org/W1965534409","https://openalex.org/W1979508690","https://openalex.org/W1985818354","https://openalex.org/W1988551786","https://openalex.org/W1990215053","https://openalex.org/W1994402758","https://openalex.org/W2023971898","https://openalex.org/W2024136891","https://openalex.org/W2030401911","https://openalex.org/W2044498524","https://openalex.org/W2047792838","https://openalex.org/W2053243626","https://openalex.org/W2069748910","https://openalex.org/W2076250696","https://openalex.org/W2085277871","https://openalex.org/W2095561225","https://openalex.org/W2097064804","https://openalex.org/W2102335545","https://openalex.org/W2109109045","https://openalex.org/W2109306224","https://openalex.org/W2114357250","https://openalex.org/W2119423166","https://openalex.org/W2121695186","https://openalex.org/W2124820296","https://openalex.org/W2138426500","https://openalex.org/W2140190241","https://openalex.org/W2141335157","https://openalex.org/W2150963760","https://openalex.org/W2155144535","https://openalex.org/W2160979370","https://openalex.org/W2319284944","https://openalex.org/W4236463097"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2085756966","https://openalex.org/W2017375993"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,145],"protein":[4,18,29,50,90,129,137],"sequences":[5,91],"family":[6,20,38,136,212],"classification":[7,92,169,195],"from":[8,179,198],"Gracilaria":[9,94],"changii":[10,95],"seaweed":[11],"species":[12],"using":[13,96,152,171],"back-propagation":[14,172],"classifier.":[15],"Classification":[16],"of":[17,26,39,43,68,84,224],"sequence":[19,44,51,58,186,203],"is":[21,52,59,74,87,106,121,143,200],"to":[22,35,47,88,107,125,128,133,166],"infer":[23],"the":[24,49,56,66,82,109,113,135,146,153,168,185,210,220,225,227],"function":[25],"an":[27,69],"unknown":[28],"by":[30],"analysing":[31],"its":[32],"structural":[33],"similarity":[34],"a":[36],"given":[37],"proteins.":[40],"The":[41,103,139,190],"use":[42],"alignment":[45,187,204],"technique":[46,72,175,188,205],"classify":[48],"less":[53],"efficient":[54],"because":[55],"entire":[57],"used":[60,122,165],"for":[61,79,93,118,209],"classification.":[62,80],"Data":[63,116],"mining":[64,98],"offers":[65],"uses":[67],"artificial":[70],"intelligence":[71],"that":[73,148,157,194],"well":[75],"known":[76],"and":[77,132,222,229],"good":[78],"Therefore,":[81],"purpose":[83],"this":[85,161],"research":[86],"develop":[89,167],"data":[97,147],"approach":[99],"with":[100,160,184,206],"feature":[101,104,119,140],"extraction.":[102],"extraction":[105,120,141],"identify":[108],"best":[110],"features":[111],"in":[112],"overall":[114],"sequence.":[115],"preparation":[117],"bioinformatics":[123],"tools":[124],"translate":[126],"DNA":[127],"(batch":[130],"translator)":[131],"analyze":[134],"(InterProScan).":[138],"process":[142],"done":[144],"has":[149],"been":[150],"prepared":[151],"2-gram":[154],"method.":[155],"Features":[156],"are":[158,163,181],"obtained":[159],"method":[162],"then":[164,182],"model":[170,196],"neural":[173],"network":[174],"(RNPB).":[176],"Experiment":[177],"results":[178,192],"RNPB":[180,199],"compared":[183,217],"(HMMER).":[189],"comparison":[191],"show":[193],"produced":[197],"better":[201],"than":[202],"average":[207],"accuracy":[208],"whole":[211],"as":[213,215],"much":[214],"99.01%":[216],"96.51%.":[218],"For":[219],"specificity":[221],"sensitivity":[223],"prediction,":[226],"HMMER":[228],"ANN":[230],"were":[231],"equally":[232],"efficient.":[233]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
