{"id":"https://openalex.org/W2002272439","doi":"https://doi.org/10.1089/10665270050081496","title":"Bayesian Segmentation of Protein Secondary Structure","display_name":"Bayesian Segmentation of Protein Secondary Structure","publication_year":2000,"publication_date":"2000-02-01","ids":{"openalex":"https://openalex.org/W2002272439","doi":"https://doi.org/10.1089/10665270050081496","mag":"2002272439","pmid":"https://pubmed.ncbi.nlm.nih.gov/10890399"},"language":"en","primary_location":{"id":"doi:10.1089/10665270050081496","is_oa":false,"landing_page_url":"https://doi.org/10.1089/10665270050081496","pdf_url":null,"source":{"id":"https://openalex.org/S78571599","display_name":"Journal of Computational Biology","issn_l":"1066-5277","issn":["1066-5277","1557-8666"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443"],"host_organization_lineage_names":["Mary Ann Liebert, Inc."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5077085817","display_name":"Scott C. Schmidler","orcid":"https://orcid.org/0009-0006-3733-3716"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott C. Schmidler","raw_affiliation_strings":["Section on Medical Informatics, Stanford University School of Medicine, Stanford, CA 94305; Department of Statistics, Stanford University, Stanford, CA 94305 and Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Section on Medical Informatics, Stanford University School of Medicine, Stanford, CA 94305; Department of Statistics, Stanford University, Stanford, CA 94305 and Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012820890","display_name":"Jun S. Liu","orcid":"https://orcid.org/0000-0002-4450-7239"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun S. Liu","raw_affiliation_strings":["Department of Statistics, Stanford University, Stanford, CA 94305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Stanford University, Stanford, CA 94305","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091769486","display_name":"Douglas L. Brutlag","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas L. Brutlag","raw_affiliation_strings":["Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":2.132,"has_fulltext":false,"cited_by_count":152,"citation_normalized_percentile":{"value":0.87096942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":"1-2","first_page":"233","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9980000257492065,"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/T11162","display_name":"Enzyme Structure and Function","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/protein-secondary-structure","display_name":"Protein secondary structure","score":0.7509922981262207},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6213221549987793},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5932512283325195},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5483896136283875},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5348716378211975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5167955160140991},{"id":"https://openalex.org/keywords/protein-structure-prediction","display_name":"Protein structure prediction","score":0.5122494101524353},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5032019019126892},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4984588623046875},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49238741397857666},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.489388644695282},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.47318363189697266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4616372287273407},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.45081597566604614},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4408143162727356},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43105974793434143},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.41060903668403625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38155144453048706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37313783168792725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23259159922599792},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1267113983631134},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.10008770227432251}],"concepts":[{"id":"https://openalex.org/C62614982","wikidata":"https://www.wikidata.org/wiki/Q904984","display_name":"Protein secondary structure","level":2,"score":0.7509922981262207},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6213221549987793},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5932512283325195},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5483896136283875},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5348716378211975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5167955160140991},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.5122494101524353},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5032019019126892},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4984588623046875},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49238741397857666},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.489388644695282},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.47318363189697266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4616372287273407},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.45081597566604614},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4408143162727356},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43105974793434143},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.41060903668403625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38155144453048706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37313783168792725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23259159922599792},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1267113983631134},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.10008770227432251},{"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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001618","descriptor_name":"beta-Lactamases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D001618","descriptor_name":"beta-Lactamases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D001618","descriptor_name":"beta-Lactamases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017433","descriptor_name":"Protein Structure, Secondary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017433","descriptor_name":"Protein Structure, Secondary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017433","descriptor_name":"Protein Structure, Secondary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1089/10665270050081496","is_oa":false,"landing_page_url":"https://doi.org/10.1089/10665270050081496","pdf_url":null,"source":{"id":"https://openalex.org/S78571599","display_name":"Journal of Computational Biology","issn_l":"1066-5277","issn":["1066-5277","1557-8666"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443"],"host_organization_lineage_names":["Mary Ann Liebert, Inc."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Biology","raw_type":"journal-article"},{"id":"pmid:10890399","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/10890399","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,"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":"Journal of computational biology : a journal of computational molecular cell biology","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.19.5590","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.5590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.people.fas.harvard.edu/~junliu/TechRept/00folder/bstructure.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.33.1195","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.1195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cmgm.stanford.edu/~brutlag/Papers/schmidler00.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G342839570","display_name":null,"funder_award_id":"LM-05716","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G7935083471","display_name":null,"funder_award_id":"LM-07033","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W176261813","https://openalex.org/W1491040459","https://openalex.org/W1502492516","https://openalex.org/W1511730061","https://openalex.org/W1526754730","https://openalex.org/W1539673959","https://openalex.org/W1963550288","https://openalex.org/W1965838279","https://openalex.org/W1966041739","https://openalex.org/W1966849089","https://openalex.org/W1981622568","https://openalex.org/W1985818354","https://openalex.org/W1994804299","https://openalex.org/W1996073320","https://openalex.org/W1998300401","https://openalex.org/W2007986836","https://openalex.org/W2008708467","https://openalex.org/W2010919933","https://openalex.org/W2011069753","https://openalex.org/W2013136212","https://openalex.org/W2014827378","https://openalex.org/W2015532430","https://openalex.org/W2019949712","https://openalex.org/W2026649417","https://openalex.org/W2027837654","https://openalex.org/W2035797579","https://openalex.org/W2036578954","https://openalex.org/W2042190395","https://openalex.org/W2045312812","https://openalex.org/W2049695588","https://openalex.org/W2050513584","https://openalex.org/W2052450063","https://openalex.org/W2055239042","https://openalex.org/W2056036471","https://openalex.org/W2056770911","https://openalex.org/W2057157558","https://openalex.org/W2057289558","https://openalex.org/W2064218608","https://openalex.org/W2073745636","https://openalex.org/W2077013196","https://openalex.org/W2078241900","https://openalex.org/W2081359387","https://openalex.org/W2085277871","https://openalex.org/W2086403919","https://openalex.org/W2087894810","https://openalex.org/W2088083202","https://openalex.org/W2089606003","https://openalex.org/W2093989924","https://openalex.org/W2094889474","https://openalex.org/W2095222655","https://openalex.org/W2095450147","https://openalex.org/W2102122585","https://openalex.org/W2105080323","https://openalex.org/W2109553965","https://openalex.org/W2119423166","https://openalex.org/W2125838338","https://openalex.org/W2126871981","https://openalex.org/W2133142974","https://openalex.org/W2134769748","https://openalex.org/W2137639276","https://openalex.org/W2138850271","https://openalex.org/W2150654191","https://openalex.org/W2166187656","https://openalex.org/W2167826316","https://openalex.org/W2168211076","https://openalex.org/W2301031628","https://openalex.org/W3047703793","https://openalex.org/W3147254695","https://openalex.org/W4205995961","https://openalex.org/W4236866384","https://openalex.org/W4237529144","https://openalex.org/W4238553616","https://openalex.org/W4249255000","https://openalex.org/W4256395558"],"related_works":["https://openalex.org/W4206825711","https://openalex.org/W2928838901","https://openalex.org/W2892420176","https://openalex.org/W2114646553","https://openalex.org/W2494604670","https://openalex.org/W1998289425","https://openalex.org/W1510508486","https://openalex.org/W2303656598","https://openalex.org/W4283713793","https://openalex.org/W2114568928"],"abstract_inverted_index":{"We":[0,188,209],"present":[1],"a":[2,11,28,46,64,147,193,226],"novel":[3],"method":[4],"for":[5,83,229],"predicting":[6],"the":[7,37,40,76,118,125,134,155,204],"secondary":[8,60,90,171,233],"structure":[9,61,100,172,234],"of":[10,31,39,49,55,72,89,98,124,133,185,195,215],"protein":[12,50,99,223],"from":[13],"its":[14],"amino":[15],"acid":[16],"sequence.":[17,41],"Most":[18],"existing":[19],"methods":[20],"predict":[21],"each":[22,175],"position":[23],"in":[24,53,117,163,222,232],"turn":[25],"based":[26,149],"on":[27,150],"local":[29],"window":[30,35],"residues,":[32],"sliding":[33],"this":[34,190,216],"along":[36],"length":[38,111],"In":[42],"contrast,":[43],"we":[44],"develop":[45,79],"probabilistic":[47,81],"model":[48,114,191,219],"sequence/structure":[51],"relationships":[52],"terms":[54],"structural":[56],"segments,":[57,119],"and":[58,86,94,109,144,154],"formulate":[59],"prediction":[62,186,235],"as":[63,102,201,203],"general":[65],"Bayesian":[66],"inference":[67],"problem.":[68],"A":[69],"distinctive":[70],"feature":[71],"our":[73],"approach":[74],"is":[75,115,142,157],"ability":[77],"to":[78,146,159,181,192,218],"explicit":[80],"models":[82],"alpha-helices,":[84],"beta-strands,":[85],"other":[87],"classes":[88],"structure,":[91],"incorporating":[92],"experimentally":[93],"empirically":[95],"observed":[96],"aspects":[97],"such":[101],"helical":[103],"capping":[104],"signals,":[105],"side":[106],"chain":[107],"correlations,":[108],"segment":[110],"distributions.":[112],"Our":[113],"Markovian":[116],"permitting":[120],"efficient":[121],"exact":[122,170],"calculation":[123],"posterior":[126,152],"probability":[127],"distribution":[128],"over":[129],"all":[130],"possible":[131,227],"segmentations":[132],"sequence":[135,176],"using":[136],"dynamic":[137],"programming.":[138],"The":[139,166],"optimal":[140],"segmentation":[141],"computed":[143],"compared":[145],"predictor":[148],"marginal":[151],"modes,":[153],"latter":[156],"shown":[158,180],"provide":[160],"significant":[161],"improvement":[162],"predictive":[164],"accuracy.":[165,236],"marginalization":[167],"procedure":[168],"provides":[169],"probabilities":[173],"at":[174],"position,":[177],"which":[178],"are":[179],"be":[182],"reliable":[183],"estimates":[184],"uncertainty.":[187],"apply":[189],"database":[194],"452":[196],"nonhomologous":[197],"structures,":[198,224],"achieving":[199],"accuracies":[200],"high":[202],"best":[205],"currently":[206],"available":[207],"methods.":[208],"conclude":[210],"by":[211],"discussing":[212],"an":[213],"extension":[214],"framework":[217],"nonlocal":[220],"interactions":[221],"providing":[225],"direction":[228],"future":[230],"improvements":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
