{"id":"https://openalex.org/W2518750490","doi":"https://doi.org/10.1186/s12859-016-1209-0","title":"Protein secondary structure prediction using a small training set (compact model) combined with a Complex-valued neural network approach","display_name":"Protein secondary structure prediction using a small training set (compact model) combined with a Complex-valued neural network approach","publication_year":2016,"publication_date":"2016-09-13","ids":{"openalex":"https://openalex.org/W2518750490","doi":"https://doi.org/10.1186/s12859-016-1209-0","mag":"2518750490","pmid":"https://pubmed.ncbi.nlm.nih.gov/27618812"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-016-1209-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-1209-0","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1209-0","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,"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"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1209-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037891222","display_name":"Shamima Rashid","orcid":"https://orcid.org/0000-0002-0157-6525"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Shamima Rashid","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore, 639798, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore, 639798, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003262623","display_name":"Saras Saraswathi","orcid":"https://orcid.org/0000-0001-6473-1804"},"institutions":[{"id":"https://openalex.org/I1314135232","display_name":"Nationwide Children's Hospital","ror":"https://ror.org/003rfsp33","country_code":"US","type":"funder","lineage":["https://openalex.org/I1314135232"]},{"id":"https://openalex.org/I1325736334","display_name":"Battelle","ror":"https://ror.org/01h5tnr73","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1325736334"]},{"id":"https://openalex.org/I4210130525","display_name":"Sidra Medical and Research Center","ror":"https://ror.org/03acdk243","country_code":"QA","type":"healthcare","lineage":["https://openalex.org/I4210130525"]}],"countries":["QA","US"],"is_corresponding":false,"raw_author_name":"Saras Saraswathi","raw_affiliation_strings":["Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, USA","Sidra Medical and Research Center, Al Dafna, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, USA","institution_ids":["https://openalex.org/I1314135232","https://openalex.org/I1325736334"]},{"raw_affiliation_string":"Sidra Medical and Research Center, Al Dafna, Doha, Qatar","institution_ids":["https://openalex.org/I4210130525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086880109","display_name":"Andrzej Kloczkowski","orcid":"https://orcid.org/0000-0003-1002-5095"},"institutions":[{"id":"https://openalex.org/I1314135232","display_name":"Nationwide Children's Hospital","ror":"https://ror.org/003rfsp33","country_code":"US","type":"funder","lineage":["https://openalex.org/I1314135232"]},{"id":"https://openalex.org/I1325736334","display_name":"Battelle","ror":"https://ror.org/01h5tnr73","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1325736334"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrzej Kloczkowski","raw_affiliation_strings":["Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, USA","Department of Paediatrics, College of Medicine, The Ohio State University, 370 W. 9th Avenue, Columbus, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, USA","institution_ids":["https://openalex.org/I1314135232","https://openalex.org/I1325736334"]},{"raw_affiliation_string":"Department of Paediatrics, College of Medicine, The Ohio State University, 370 W. 9th Avenue, Columbus, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765440","display_name":"Suresh Sundaram","orcid":"https://orcid.org/0000-0001-6275-0921"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Suresh Sundaram","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore, 639798, Singapore. ssundaram@ntu.edu.sg","School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore, 639798, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore, 639798, Singapore. ssundaram@ntu.edu.sg","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore, 639798, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025085688","display_name":"Andrzej Koli\u0144ski","orcid":"https://orcid.org/0000-0002-8830-2315"},"institutions":[{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Andrzej Kolinski","raw_affiliation_strings":["Laboratory of Theory of Biopolymers, Faculty of Chemistry, University of Warsaw, Pasteura 1, Warsaw, 02-093, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Theory of Biopolymers, Faculty of Chemistry, University of Warsaw, Pasteura 1, Warsaw, 02-093, Poland","institution_ids":["https://openalex.org/I4654613"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037891222"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":2.9593,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91257463,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"17","issue":"1","first_page":"362","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.919700026512146,"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":0.919700026512146,"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":0.023499999195337296,"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"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.014499999582767487,"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/classifier","display_name":"Classifier (UML)","score":0.7155399322509766},{"id":"https://openalex.org/keywords/protein-structure-prediction","display_name":"Protein structure prediction","score":0.6370155811309814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6322723627090454},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6178197860717773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510943591594696},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49854564666748047},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4265791177749634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42448562383651733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4158768653869629},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.407106876373291},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37264877557754517},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.3569931089878082},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10522705316543579}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7155399322509766},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.6370155811309814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6322723627090454},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6178197860717773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510943591594696},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49854564666748047},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4265791177749634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42448562383651733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4158768653869629},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.407106876373291},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37264877557754517},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.3569931089878082},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10522705316543579},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","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":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":false},{"descriptor_ui":"D017433","descriptor_name":"Protein Structure, Secondary","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":false},{"descriptor_ui":"D017433","descriptor_name":"Protein Structure, Secondary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-016-1209-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-1209-0","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1209-0","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,"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":"pmid:27618812","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27618812","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:dr.ntu.edu.sg:10356/84028","is_oa":true,"landing_page_url":"http://hdl.handle.net/10220/41590","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:europepmc.org:3986287","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5020447","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-016-1209-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-1209-0","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1209-0","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,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2518750490.pdf","grobid_xml":"https://content.openalex.org/works/W2518750490.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W198082522","https://openalex.org/W1491040459","https://openalex.org/W1499450468","https://openalex.org/W1596947964","https://openalex.org/W1606410455","https://openalex.org/W1827043750","https://openalex.org/W1938743025","https://openalex.org/W1973459793","https://openalex.org/W1976005460","https://openalex.org/W1981132436","https://openalex.org/W2006248076","https://openalex.org/W2006318414","https://openalex.org/W2008708467","https://openalex.org/W2008807736","https://openalex.org/W2013734705","https://openalex.org/W2024035237","https://openalex.org/W2032188785","https://openalex.org/W2041369927","https://openalex.org/W2041673452","https://openalex.org/W2042160423","https://openalex.org/W2046192291","https://openalex.org/W2050945397","https://openalex.org/W2051137709","https://openalex.org/W2051628563","https://openalex.org/W2059093611","https://openalex.org/W2061663059","https://openalex.org/W2074231493","https://openalex.org/W2078942153","https://openalex.org/W2080603857","https://openalex.org/W2085277871","https://openalex.org/W2095450147","https://openalex.org/W2096344315","https://openalex.org/W2096495474","https://openalex.org/W2098464924","https://openalex.org/W2099254366","https://openalex.org/W2100697211","https://openalex.org/W2104710719","https://openalex.org/W2104972430","https://openalex.org/W2108067237","https://openalex.org/W2114107538","https://openalex.org/W2124297154","https://openalex.org/W2124462621","https://openalex.org/W2126165751","https://openalex.org/W2128577591","https://openalex.org/W2134782652","https://openalex.org/W2140992384","https://openalex.org/W2141915739","https://openalex.org/W2142893109","https://openalex.org/W2147905080","https://openalex.org/W2153153865","https://openalex.org/W2153187042","https://openalex.org/W2156798505","https://openalex.org/W2156869838","https://openalex.org/W2157437977","https://openalex.org/W2158714788","https://openalex.org/W2159862550","https://openalex.org/W2160426410","https://openalex.org/W2162276362","https://openalex.org/W2168745915","https://openalex.org/W2321247274","https://openalex.org/W2395270384","https://openalex.org/W2428387384","https://openalex.org/W4252684946"],"related_works":["https://openalex.org/W2283086173","https://openalex.org/W2981877337","https://openalex.org/W3203938600","https://openalex.org/W2169074127","https://openalex.org/W83146503","https://openalex.org/W2163707935","https://openalex.org/W2946599741","https://openalex.org/W202723009","https://openalex.org/W2145955964","https://openalex.org/W2188612292"],"abstract_inverted_index":{"BACKGROUND:":[0],"Protein":[1],"secondary":[2],"structure":[3,45],"prediction":[4,46],"(SSP)":[5],"has":[6],"been":[7],"an":[8,65,95],"area":[9],"of":[10,36,67,75,111,139,143,198,213,219,239,276,283,292,323],"intense":[11],"research":[12],"interest.":[13],"Despite":[14],"advances":[15],"in":[16,55,232,265,288,305,320],"recent":[17],"methods":[18,38],"conducted":[19],"on":[20,61,72,150,210],"large":[21,53,73],"datasets,":[22],"the":[23,34,79,98,115,121,154,164,180,191,199,233,240,281,290,321],"estimated":[24],"upper":[25],"limit":[26],"accuracy":[27],"is":[28,118,174,188,202,286],"yet":[29],"to":[30,43,82,84,92,104,229,250,263,295],"be":[31,318],"reached.":[32],"Since":[33],"predictions":[35],"SSP":[37,302],"are":[39],"applied":[40],"as":[41,64,136],"input":[42],"higher-level":[44],"pipelines,":[47],"even":[48],"small":[49,109],"errors":[50],"may":[51],"have":[52,259],"perturbations":[54],"final":[56],"models.":[57],"Previous":[58],"works":[59],"relied":[60],"cross":[62],"validation":[63],"estimate":[66],"classifier":[68,80,178,294],"accuracy.":[69],"However,":[70],"training":[71,93,284],"numbers":[74],"protein":[76],"chains":[77],"compromises":[78],"ability":[81],"generalize":[83],"new":[85,297],"sequences.":[86],"This":[87],"prompts":[88],"a":[89,108,125,129,177,211,260,293],"novel":[90],"approach":[91],"and":[94,146,171,208,300,311],"investigation":[96],"into":[97],"possible":[99],"structural":[100],"factors":[101],"that":[102,248],"lead":[103,249],"poor":[105],"predictions.":[106],"Here,":[107],"group":[110],"55":[112],"proteins":[113,285],"termed":[114,179],"compact":[116,192,200],"model":[117,193,201,223],"selected":[119],"from":[120],"CB513":[122],"dataset":[123,212],"using":[124,153,176],"heuristics-based":[126],"approach.":[127],"In":[128],"prior":[130],"work,":[131],"all":[132],"sequences":[133,298],"were":[134],"represented":[135],"probability":[137],"matrices":[138],"residues":[140,258],"adopting":[141],"each":[142],"Helix,":[144],"Sheet":[145,253,326],"Coil":[147,251,257,324],"states,":[148],"based":[149],"energy":[151],"calculations":[152],"C-Alpha,":[155],"C-Beta,":[156],"Side-chain":[157],"(CABS)":[158],"algorithm.":[159],"The":[160,186,196,222,274],"functional":[161],"relationship":[162],"between":[163,307],"conformational":[165],"energies":[166],"computed":[167],"with":[168,190,204],"CABS":[169],"force-field":[170],"residue":[172],"states":[173],"approximated":[175],"Fully":[181],"Complex-valued":[182],"Relaxation":[183],"Network":[184],"(FCRN).":[185],"FCRN":[187],"trained":[189],"proteins.":[194],"RESULTS:":[195],"performance":[197],"compared":[203,228],"traditional":[205],"cross-validated":[206],"accuracies":[207,218],"blind-tested":[209],"G":[214],"Switch":[215],"proteins,":[216],"obtaining":[217],"\u223c81":[220],"%.":[221],"demonstrates":[224],"better":[225],"results":[226],"when":[227],"several":[230],"techniques":[231,303],"literature.":[234],"A":[235],"comparative":[236],"case":[237],"study":[238],"worst":[241],"performing":[242],"chain":[243],"identifies":[244],"hydrogen":[245,267,309,315],"bond":[246],"contacts":[247],"\u21d4":[252,325],"misclassifications.":[254,327],"Overall,":[255],"mispredicted":[256],"higher":[261],"propensity":[262],"participate":[264],"backbone":[266,308],"bonding":[268,310,316],"than":[269],"correctly":[270],"predicted":[271],"Coils.":[272],"CONCLUSIONS:":[273],"implications":[275],"these":[277],"findings":[278],"are:":[279],"(i)":[280],"choice":[282],"important":[287],"preserving":[289],"generalization":[291],"predict":[296],"accurately":[299],"(ii)":[301],"sensitive":[304],"distinguishing":[306],"side-chain":[312],"or":[313],"water-mediated":[314],"might":[317],"needed":[319],"reduction":[322]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}