{"id":"https://openalex.org/W2112921341","doi":"https://doi.org/10.1109/bibm.2010.5706534","title":"Unsupervised integration of multiple protein disorder predictors","display_name":"Unsupervised integration of multiple protein disorder predictors","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2112921341","doi":"https://doi.org/10.1109/bibm.2010.5706534","mag":"2112921341"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2010.5706534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2010.5706534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5050360222","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0002-4601-0779"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ping Zhang","raw_affiliation_strings":["Center of Information Science and Technology, Temple University, Philadelphia, PA, USA","Center for Information Science and Technology, Temple University, Philadelphia, PA 19122#TAB#"],"affiliations":[{"raw_affiliation_string":"Center of Information Science and Technology, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Center for Information Science and Technology, Temple University, Philadelphia, PA 19122#TAB#","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044038055","display_name":"Zoran Obradovi\u0107","orcid":"https://orcid.org/0000-0002-2051-0142"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zoran Obradovic","raw_affiliation_strings":["Center of Information Science and Technology, Temple University, Philadelphia, PA, USA","Center for Information Science and Technology, Temple University, Philadelphia, PA 19122#TAB#"],"affiliations":[{"raw_affiliation_string":"Center of Information Science and Technology, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Center for Information Science and Technology, Temple University, Philadelphia, PA 19122#TAB#","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050360222"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":0.3965,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62743204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9962000250816345,"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":0.9962000250816345,"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/T10044","display_name":"Protein Structure and Dynamics","score":0.9926000237464905,"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":0.9855999946594238,"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/computer-science","display_name":"Computer science","score":0.6100154519081116},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5231803059577942},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48171764612197876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4721753001213074},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.4700922966003418},{"id":"https://openalex.org/keywords/protein-structure-prediction","display_name":"Protein structure prediction","score":0.4602915048599243},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43268972635269165},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3583616018295288},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3314582109451294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32530954480171204},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.3080076575279236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21883872151374817},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13742583990097046},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13683375716209412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100154519081116},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5231803059577942},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48171764612197876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4721753001213074},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4700922966003418},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.4602915048599243},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43268972635269165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3583616018295288},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3314582109451294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32530954480171204},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.3080076575279236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21883872151374817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13742583990097046},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13683375716209412},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2010.5706534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2010.5706534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308109","display_name":"Pennsylvania Department of Health","ror":"https://ror.org/00ra1fg11"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W1723619723","https://openalex.org/W1966041739","https://openalex.org/W1982250822","https://openalex.org/W1984586858","https://openalex.org/W1989235034","https://openalex.org/W2000330915","https://openalex.org/W2007794469","https://openalex.org/W2010135967","https://openalex.org/W2053820259","https://openalex.org/W2070126374","https://openalex.org/W2070496155","https://openalex.org/W2075095565","https://openalex.org/W2101840439","https://openalex.org/W2126064524","https://openalex.org/W2126303237","https://openalex.org/W2129170338","https://openalex.org/W2138039051","https://openalex.org/W2144252381","https://openalex.org/W2152265734","https://openalex.org/W2156407548","https://openalex.org/W2169802764"],"related_works":["https://openalex.org/W2946599741","https://openalex.org/W2593264178","https://openalex.org/W2043066834","https://openalex.org/W3171039768","https://openalex.org/W2136856901","https://openalex.org/W2368468053","https://openalex.org/W2058542300","https://openalex.org/W1564749278","https://openalex.org/W2294851134","https://openalex.org/W3215498386"],"abstract_inverted_index":{"Studies":[0],"of":[1,33,39,50,58,78,103,111,113,125,138],"intrinsically":[2],"disordered":[3],"proteins":[4],"that":[5,22,75],"lack":[6],"a":[7,31,99],"stable":[8],"tertiary":[9],"structure":[10],"but":[11],"still":[12],"have":[13,134],"important":[14],"biological":[15],"functions":[16],"critically":[17],"rely":[18],"on":[19,27,84,118],"computational":[20],"methods":[21],"predict":[23],"this":[24],"property":[25],"based":[26],"sequence":[28],"information.":[29],"Although":[30],"number":[32],"fairly":[34],"successful":[35],"models":[36,81],"for":[37,127],"prediction":[38,105],"protein":[40,65,68,86],"disorder":[41,66,80,90,104,115],"were":[42],"developed":[43],"over":[44],"the":[45,48,97,107,122,136,139],"last":[46],"decade,":[47],"quality":[49,112],"their":[51],"predictions":[52,77],"is":[53,73],"limited":[54],"by":[55],"available":[56],"cases":[57],"confirmed":[59,89],"disorders.":[60],"To":[61],"more":[62],"reliably":[63],"estimate":[64],"from":[67],"sequences,":[69],"an":[70],"iterative":[71,93],"algorithm":[72],"proposed":[74,140],"integrates":[76],"multiple":[79,114],"without":[82],"relying":[83],"any":[85],"sequences":[87],"with":[88],"annotation.":[91],"The":[92],"method":[94],"alternately":[95],"provides":[96],"maximum":[98],"posterior":[100],"(MAP)":[101],"estimation":[102,110],"and":[106,132],"maximum-likelihood":[108],"(ML)":[109],"predictors.":[116],"Experiments":[117],"data":[119],"used":[120],"at":[121],"Critical":[123],"Assessment":[124],"Techniques":[126],"Protein":[128],"Structure":[129],"Prediction":[130],"(CASP7":[131],"CASP8)":[133],"shown":[135],"effectiveness":[137],"algorithm.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}