{"id":"https://openalex.org/W2062920004","doi":"https://doi.org/10.1186/1471-2105-14-88","title":"DNdisorder: predicting protein disorder using boosting and deep networks","display_name":"DNdisorder: predicting protein disorder using boosting and deep networks","publication_year":2013,"publication_date":"2013-03-06","ids":{"openalex":"https://openalex.org/W2062920004","doi":"https://doi.org/10.1186/1471-2105-14-88","mag":"2062920004","pmid":"https://pubmed.ncbi.nlm.nih.gov/23497251","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/3599628"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-14-88","doi":"https://doi.org/10.1186/1471-2105-14-88","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-88","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-88","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-2","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-88","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033383597","display_name":"Jesse Eickholt","orcid":"https://orcid.org/0000-0002-1764-1838","observed_orcids":["https://orcid.org/0000-0002-1764-1838"]},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jesse Eickholt","raw_affiliation_strings":["Department of Computer Science, University of Missouri, Columbia, MO 65211, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Missouri, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044354277","display_name":"Jianlin Jack Cheng","orcid":"https://orcid.org/0000-0003-0305-2853","observed_orcids":["https://orcid.org/0000-0003-0305-2853"]},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jianlin Cheng","raw_affiliation_strings":["C. Bond Life Science Center, University of Missouri, Columbia, MO, 65211, USA","Department of Computer Science, University of Missouri, Columbia, MO, 65211, USA","Informatics Institute, University of Missouri, Columbia, MO, 65211, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"C. Bond Life Science Center, University of Missouri, Columbia, MO, 65211, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Computer Science, University of Missouri, Columbia, MO, 65211, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Informatics Institute, University of Missouri, Columbia, MO, 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044354277"],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":4.7757,"has_fulltext":true,"cited_by_count":89,"citation_normalized_percentile":{"value":0.96104434,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"14","issue":"1","first_page":"88","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9951000213623047,"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":0.9951000213623047,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.00419999985024333,"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/T10211","display_name":"Computational Drug Discovery Methods","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/protein-disorder-prediction","display_name":"protein disorder prediction","score":0.8579999804496765},{"id":"https://openalex.org/keywords/intrinsically-disordered-regions","display_name":"intrinsically disordered regions","score":0.9350000023841858},{"id":"https://openalex.org/keywords/sequence-based-prediction","display_name":"sequence-based prediction","score":0.6859999895095825},{"id":"https://openalex.org/keywords/boosting-ensemble","display_name":"boosting ensemble","score":0.7590000033378601},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.9419999718666077},{"id":"https://openalex.org/keywords/caspase-10","display_name":"caspase-10","score":0.7120000123977661},{"id":"https://openalex.org/keywords/caspase-9","display_name":"caspase-9","score":0.7730000019073486},{"id":"https://openalex.org/keywords/web-services","display_name":"web services","score":0.859000027179718}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8285123109817505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.670539140701294},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.662613570690155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5214666128158569},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.48209860920906067},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44801729917526245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4341234564781189},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.32076144218444824},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15190821886062622},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1099717915058136},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D011487","descriptor_name":"Protein Conformation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/1471-2105-14-88","doi":"https://doi.org/10.1186/1471-2105-14-88","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-88","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-88","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-2","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmh:oai:europepmc.org:2601614","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3599628","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:3599628","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3599628","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmid:23497251","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23497251","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,"listed_in":[],"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":"BMC bioinformatics","raw_type":"Evaluation Study"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-14-88","doi":"https://doi.org/10.1186/1471-2105-14-88","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-88","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-88","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-2","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6303012657","display_name":"MU Biomedical Informatics Research Training Program","funder_award_id":"T15LM007089","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G7450496187","display_name":"Distance-based ab initio protein structure prediction","funder_award_id":"R01GM093123","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2062920004.pdf","grobid_xml":"https://content.openalex.org/works/W2062920004.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W137106866","https://openalex.org/W1487831638","https://openalex.org/W1543614656","https://openalex.org/W1813659000","https://openalex.org/W1967195968","https://openalex.org/W1982250822","https://openalex.org/W1982714879","https://openalex.org/W1988790447","https://openalex.org/W1996423252","https://openalex.org/W2009455776","https://openalex.org/W2030776726","https://openalex.org/W2049517479","https://openalex.org/W2055644676","https://openalex.org/W2070496155","https://openalex.org/W2073745520","https://openalex.org/W2075095565","https://openalex.org/W2085126881","https://openalex.org/W2096495474","https://openalex.org/W2098449450","https://openalex.org/W2100495367","https://openalex.org/W2102818658","https://openalex.org/W2102845147","https://openalex.org/W2112507697","https://openalex.org/W2114604135","https://openalex.org/W2114823344","https://openalex.org/W2116064496","https://openalex.org/W2119693327","https://openalex.org/W2123969230","https://openalex.org/W2128413613","https://openalex.org/W2134504420","https://openalex.org/W2136922672","https://openalex.org/W2138806976","https://openalex.org/W2149472608","https://openalex.org/W2154501851","https://openalex.org/W2156407548","https://openalex.org/W2156465034","https://openalex.org/W2157825442","https://openalex.org/W2158714788","https://openalex.org/W2159938554","https://openalex.org/W2160784118","https://openalex.org/W2160815625","https://openalex.org/W2161199282"],"related_works":["https://openalex.org/W2603884185","https://openalex.org/W2085126881","https://openalex.org/W2049517479","https://openalex.org/W2156465034","https://openalex.org/W2031769458","https://openalex.org/W7147356924","https://openalex.org/W2075095565","https://openalex.org/W3196691244","https://openalex.org/W2994791870","https://openalex.org/W2794825320"],"abstract_inverted_index":{"BACKGROUND:":[0],"A":[1],"number":[2,143],"of":[3,55,63,85,95,104,144],"proteins":[4],"contain":[5],"regions":[6,20,24],"which":[7,116],"do":[8],"not":[9],"adopt":[10],"a":[11,47,76,83,113,142,159],"stable":[12],"tertiary":[13],"structure":[14],"in":[15,30,71,110],"their":[16],"native":[17],"state.":[18],"Such":[19],"known":[21],"as":[22,40,158],"disordered":[23],"have":[25],"been":[26],"shown":[27],"to":[28,66,119],"participate":[29],"many":[31],"vital":[32],"cell":[33],"functions":[34],"and":[35,69,97,124,150],"are":[36,108],"increasingly":[37],"being":[38],"examined":[39],"drug":[41],"targets.":[42],"RESULTS:":[43],"This":[44],"work":[45],"presents":[46],"new":[48],"sequence":[49],"based":[50],"approach":[51],"for":[52],"the":[53,72,88,101,125,128],"prediction":[54],"protein":[56],"disorder.":[57],"The":[58,134],"method":[59,89,135],"uses":[60],"boosted":[61],"ensembles":[62],"deep":[64],"networks":[65],"make":[67],"predictions":[68],"participated":[70],"CASP10":[73,151],"experiment.":[74],"In":[75],"10":[77],"fold":[78],"cross":[79],"validation":[80],"procedure":[81,115],"on":[82,148],"dataset":[84],"723":[86],"proteins,":[87],"achieved":[90,109],"an":[91,98],"average":[92],"balanced":[93,122],"accuracy":[94,123],"0.82":[96],"area":[99,126],"under":[100,127],"ROC":[102,129],"curve":[103,130],"0.90.":[105],"These":[106],"results":[107],"part":[111],"by":[112],"boosting":[114],"is":[117,156],"able":[118],"steadily":[120],"increase":[121],"over":[131],"several":[132],"rounds.":[133],"also":[136],"compared":[137],"competitively":[138],"when":[139],"evaluated":[140],"against":[141],"state-of-the-art":[145],"disorder":[146],"predictors":[147],"CASP9":[149],"benchmark":[152],"datasets.":[153],"CONCLUSIONS:":[154],"DNdisorder":[155],"available":[157],"web":[160],"service":[161],"at":[162],"http://iris.rnet.missouri.edu/dndisorder/.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":3}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2016-06-24T00:00:00"}
