{"id":"https://openalex.org/W1901005744","doi":"https://doi.org/10.1109/cibcb.2015.7300284","title":"A multiobjective approach for protein structure prediction using a steady-state genetic algorithm with phenotypic crowding","display_name":"A multiobjective approach for protein structure prediction using a steady-state genetic algorithm with phenotypic crowding","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1901005744","doi":"https://doi.org/10.1109/cibcb.2015.7300284","mag":"1901005744"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb.2015.7300284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2015.7300284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","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/A5033682893","display_name":"Gregorio Rocha","orcid":"https://orcid.org/0000-0003-1149-175X"},"institutions":[{"id":"https://openalex.org/I4210142352","display_name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica","ror":"https://ror.org/0498ekt05","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142352"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Gregorio Kappaun Rocha","raw_affiliation_strings":["The National Laboratory for Scientific Computing (LNCC), RJ, BRAZIL","The National Laboratory for Scientific Computing (LNCC) Rua Get\u00falio Vargas 333, 25651-070 Petr\u00f3polis RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"The National Laboratory for Scientific Computing (LNCC), RJ, BRAZIL","institution_ids":["https://openalex.org/I4210142352"]},{"raw_affiliation_string":"The National Laboratory for Scientific Computing (LNCC) Rua Get\u00falio Vargas 333, 25651-070 Petr\u00f3polis RJ, Brazil","institution_ids":["https://openalex.org/I4210142352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020129323","display_name":"F\u00e1bio Lima Cust\u00f3dio","orcid":"https://orcid.org/0000-0001-5134-2340"},"institutions":[{"id":"https://openalex.org/I4210142352","display_name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica","ror":"https://ror.org/0498ekt05","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142352"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fabio Lima Custodio","raw_affiliation_strings":["The National Laboratory for Scientific Computing (LNCC), RJ, BRAZIL","The National Laboratory for Scientific Computing (LNCC) Rua Get\u00falio Vargas 333, 25651-070 Petr\u00f3polis RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"The National Laboratory for Scientific Computing (LNCC), RJ, BRAZIL","institution_ids":["https://openalex.org/I4210142352"]},{"raw_affiliation_string":"The National Laboratory for Scientific Computing (LNCC) Rua Get\u00falio Vargas 333, 25651-070 Petr\u00f3polis RJ, Brazil","institution_ids":["https://openalex.org/I4210142352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052002490","display_name":"H\u00e9lio J. C. Barbosa","orcid":"https://orcid.org/0000-0001-5810-7554"},"institutions":[{"id":"https://openalex.org/I4210142352","display_name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica","ror":"https://ror.org/0498ekt05","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142352"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Helio Jose Correa Barbosa","raw_affiliation_strings":["The National Laboratory for Scientific Computing (LNCC), Brazil","The National Laboratory for Scientific Computing (LNCC) Rua Get\u00falio Vargas 333, 25651-070 Petr\u00f3polis RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"The National Laboratory for Scientific Computing (LNCC), Brazil","institution_ids":["https://openalex.org/I4210142352"]},{"raw_affiliation_string":"The National Laboratory for Scientific Computing (LNCC) Rua Get\u00falio Vargas 333, 25651-070 Petr\u00f3polis RJ, Brazil","institution_ids":["https://openalex.org/I4210142352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084969079","display_name":"Laurent E. Dardenne","orcid":"https://orcid.org/0000-0001-8518-8062"},"institutions":[{"id":"https://openalex.org/I4210142352","display_name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica","ror":"https://ror.org/0498ekt05","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142352"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Laurent Emmanuel Dardenne","raw_affiliation_strings":["The National Laboratory for Scientific Computing (LNCC), RJ, BRAZIL","The National Laboratory for Scientific Computing (LNCC) Rua Get\u00falio Vargas 333, 25651-070 Petr\u00f3polis RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"The National Laboratory for Scientific Computing (LNCC), RJ, BRAZIL","institution_ids":["https://openalex.org/I4210142352"]},{"raw_affiliation_string":"The National Laboratory for Scientific Computing (LNCC) Rua Get\u00falio Vargas 333, 25651-070 Petr\u00f3polis RJ, Brazil","institution_ids":["https://openalex.org/I4210142352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033682893"],"corresponding_institution_ids":["https://openalex.org/I4210142352"],"apc_list":null,"apc_paid":null,"fwci":0.5835,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67424419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9995999932289124,"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/T10044","display_name":"Protein Structure and Dynamics","score":0.9995999932289124,"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/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.9955999851226807,"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":0.9909999966621399,"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/maxima-and-minima","display_name":"Maxima and minima","score":0.6823372840881348},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6003960967063904},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5512784123420715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5484873652458191},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5162010788917542},{"id":"https://openalex.org/keywords/protein-structure-prediction","display_name":"Protein structure prediction","score":0.501849889755249},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.49896883964538574},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4805091619491577},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4623490571975708},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46100446581840515},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4463099539279938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3349642753601074},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.2519610524177551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2225540578365326},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07047182321548462}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6823372840881348},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6003960967063904},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5512784123420715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5484873652458191},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5162010788917542},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.501849889755249},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.49896883964538574},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4805091619491577},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4623490571975708},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46100446581840515},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4463099539279938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3349642753601074},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.2519610524177551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2225540578365326},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07047182321548462},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb.2015.7300284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2015.7300284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1492417045","https://openalex.org/W1497256448","https://openalex.org/W1548178570","https://openalex.org/W1595498733","https://openalex.org/W1957430778","https://openalex.org/W1970424517","https://openalex.org/W1971003485","https://openalex.org/W1991861174","https://openalex.org/W2005109042","https://openalex.org/W2006332277","https://openalex.org/W2007201984","https://openalex.org/W2014050554","https://openalex.org/W2037603210","https://openalex.org/W2045777307","https://openalex.org/W2058087601","https://openalex.org/W2120634113","https://openalex.org/W2122199548","https://openalex.org/W2125938217","https://openalex.org/W2126729622","https://openalex.org/W2130479394","https://openalex.org/W2132262459","https://openalex.org/W2134156588","https://openalex.org/W2134509774","https://openalex.org/W2134731229","https://openalex.org/W2139281871","https://openalex.org/W2140564438","https://openalex.org/W2144981983","https://openalex.org/W2146242951","https://openalex.org/W2153187042","https://openalex.org/W2161152200","https://openalex.org/W2163333444","https://openalex.org/W2170471837","https://openalex.org/W2171559274","https://openalex.org/W4387688680","https://openalex.org/W6629482755","https://openalex.org/W6991711245"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W2909957174","https://openalex.org/W136674370","https://openalex.org/W4246278799","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W2050203848","https://openalex.org/W2050191802"],"abstract_inverted_index":{"In":[0,20,126],"this":[1,21,113,127],"paper":[2],"a":[3,30,39,62,86,100,135],"multiobjective":[4,73,109],"steady-state":[5],"genetic":[6],"algorithm":[7,130],"with":[8,33,95,122,131],"phenotypic":[9],"crowding":[10],"is":[11,26],"proposed":[12],"to":[13,68,116],"the":[14,23,34,48,96,108,123,129,139,147],"(free-modeling)":[15],"protein":[16],"structure":[17],"prediction":[18,148],"problem.":[19,125],"algorithm,":[22],"parental":[24],"replacement":[25],"carried":[27],"out":[28],"using":[29,99],"criterion":[31],"associated":[32],"individuals":[35],"structural":[36],"similarity,":[37],"providing":[38],"better":[40,136],"exploration":[41,137],"of":[42,51,88,138,149],"highly":[43],"multimodal":[44],"energy":[45],"landscape":[46],"and":[47,61,77,142,154],"concurrent":[49],"identification":[50],"multiple":[52],"minima.":[53],"Classical":[54],"force":[55],"field":[56],"terms,":[57],"hydrogen":[58],"bond":[59],"potentials":[60],"hydrophobic":[63],"com-pactation":[64],"term":[65],"were":[66,80,93],"selected":[67],"compose":[69],"different":[70],"objectives.":[71],"Two":[72],"approaches":[74],"containing":[75,158],"two":[76],"three":[78,132],"objectives":[79,133],"evaluated":[81],"in":[82,112,120,146],"predictions":[83],"performed":[84],"for":[85,151,156],"set":[87],"45":[89],"proteins.":[90],"Their":[91],"results":[92,105],"compared":[94],"ones":[97],"obtained":[98,143],"standard":[101],"single-objective":[102],"approach.":[103],"Our":[104],"show":[106],"that":[107],"approach":[110],"developed":[111],"work":[114],"proved":[115],"be":[117],"quite":[118],"promising":[119],"dealing":[121],"PSP":[124],"sense,":[128],"showed":[134],"search":[140],"space":[141],"significant":[144],"improvements":[145],"models":[150],"larger":[152],"proteins":[153],"also":[155],"structures":[157],"\u03b2-sheet":[159],"secondary":[160],"structures.":[161]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}