{"id":"https://openalex.org/W2278480503","doi":"https://doi.org/10.1155/2015/370756","title":"Prediction of Protein Structural Classes for Low-Similarity Sequences Based on Consensus Sequence and Segmented PSSM","display_name":"Prediction of Protein Structural Classes for Low-Similarity Sequences Based on Consensus Sequence and Segmented PSSM","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2278480503","doi":"https://doi.org/10.1155/2015/370756","mag":"2278480503","pmid":"https://pubmed.ncbi.nlm.nih.gov/26788119"},"language":"en","primary_location":{"id":"doi:10.1155/2015/370756","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/370756","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/370756.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2015/370756.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008784102","display_name":"Yunyun Liang","orcid":"https://orcid.org/0000-0002-1749-564X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunyun Liang","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi\u2019an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045137489","display_name":"Sanyang Liu","orcid":"https://orcid.org/0000-0002-3625-3398"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanyang Liu","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi\u2019an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413412","display_name":"Shengli Zhang","orcid":"https://orcid.org/0000-0001-8786-0940"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi\u2019an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008784102"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.6023,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.70150976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2015","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autocovariance","display_name":"Autocovariance","score":0.6739649772644043},{"id":"https://openalex.org/keywords/jackknife-resampling","display_name":"Jackknife resampling","score":0.6599911451339722},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6396373510360718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6119527816772461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5894269943237305},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5494611859321594},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5331019163131714},{"id":"https://openalex.org/keywords/sequence-alignment","display_name":"Sequence alignment","score":0.500288724899292},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4851425588130951},{"id":"https://openalex.org/keywords/structural-alignment","display_name":"Structural alignment","score":0.4757287800312042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19318902492523193},{"id":"https://openalex.org/keywords/peptide-sequence","display_name":"Peptide sequence","score":0.16198155283927917},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12998151779174805}],"concepts":[{"id":"https://openalex.org/C88271906","wikidata":"https://www.wikidata.org/wiki/Q786973","display_name":"Autocovariance","level":3,"score":0.6739649772644043},{"id":"https://openalex.org/C81790035","wikidata":"https://www.wikidata.org/wiki/Q847158","display_name":"Jackknife resampling","level":3,"score":0.6599911451339722},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6396373510360718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6119527816772461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5894269943237305},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5494611859321594},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5331019163131714},{"id":"https://openalex.org/C45484198","wikidata":"https://www.wikidata.org/wiki/Q827246","display_name":"Sequence alignment","level":4,"score":0.500288724899292},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4851425588130951},{"id":"https://openalex.org/C4668613","wikidata":"https://www.wikidata.org/wiki/Q4116110","display_name":"Structural alignment","level":5,"score":0.4757287800312042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19318902492523193},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.16198155283927917},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12998151779174805},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","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":"D016384","descriptor_name":"Consensus Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016384","descriptor_name":"Consensus Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016384","descriptor_name":"Consensus Sequence","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":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D056510","descriptor_name":"Position-Specific Scoring Matrices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D056510","descriptor_name":"Position-Specific Scoring Matrices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D056510","descriptor_name":"Position-Specific Scoring Matrices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2015/370756","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/370756","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/370756.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:26788119","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26788119","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":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:955dbe07c1a7453da47c93bd03e9f860","is_oa":false,"landing_page_url":"https://doaj.org/article/955dbe07c1a7453da47c93bd03e9f860","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2015 (2015)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:4693000","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4693000","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Math Methods Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2015/370756","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/370756","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/370756.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G2179741397","display_name":null,"funder_award_id":"11326201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3641475594","display_name":null,"funder_award_id":"JB140703","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5318723925","display_name":null,"funder_award_id":"61373174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5504296666","display_name":null,"funder_award_id":"2015JQ1010","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6111218256","display_name":null,"funder_award_id":"2015JQ1010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6428902985","display_name":null,"funder_award_id":"61373174","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7984137555","display_name":null,"funder_award_id":"JB140703","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8815926790","display_name":null,"funder_award_id":"11326201","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2278480503.pdf","grobid_xml":"https://content.openalex.org/works/W2278480503.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W149741886","https://openalex.org/W1480577415","https://openalex.org/W1540119895","https://openalex.org/W1605016429","https://openalex.org/W1967888993","https://openalex.org/W1977927254","https://openalex.org/W1981005463","https://openalex.org/W1984437717","https://openalex.org/W1989447327","https://openalex.org/W1995379550","https://openalex.org/W1998354148","https://openalex.org/W2005162839","https://openalex.org/W2008162067","https://openalex.org/W2008671051","https://openalex.org/W2008767404","https://openalex.org/W2017229033","https://openalex.org/W2020117329","https://openalex.org/W2028492942","https://openalex.org/W2030793934","https://openalex.org/W2040183015","https://openalex.org/W2045777307","https://openalex.org/W2049934106","https://openalex.org/W2062225859","https://openalex.org/W2068361619","https://openalex.org/W2070753511","https://openalex.org/W2072805285","https://openalex.org/W2078697068","https://openalex.org/W2083501076","https://openalex.org/W2086438703","https://openalex.org/W2087317522","https://openalex.org/W2094279491","https://openalex.org/W2098884353","https://openalex.org/W2105634619","https://openalex.org/W2116660088","https://openalex.org/W2119331235","https://openalex.org/W2119677615","https://openalex.org/W2120026469","https://openalex.org/W2137920018","https://openalex.org/W2153635508","https://openalex.org/W2155364865","https://openalex.org/W2156909104","https://openalex.org/W2157142295","https://openalex.org/W2158714788","https://openalex.org/W2163449716","https://openalex.org/W2167656653","https://openalex.org/W2170431417","https://openalex.org/W2331354048","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W137974921","https://openalex.org/W2029514038","https://openalex.org/W2088487249","https://openalex.org/W2111937814","https://openalex.org/W2051969447","https://openalex.org/W1985408726","https://openalex.org/W2061567716","https://openalex.org/W2084367350","https://openalex.org/W1981307089","https://openalex.org/W2092691595"],"abstract_inverted_index":{"Prediction":[0],"of":[1,18,31,132,148,178],"protein":[2,32,39,179],"structural":[3,33,180],"classes":[4,181],"for":[5,10,176,182],"low-similarity":[6,96,183],"sequences":[7],"is":[8,21,27,113,118],"useful":[9],"understanding":[11],"fold":[12],"patterns,":[13],"regulation,":[14],"functions,":[15],"and":[16,35,46,85,100,115,144,163],"interactions":[17],"proteins.":[19],"It":[20],"well":[22],"known":[23],"that":[24,157],"feature":[25,111],"extraction":[26],"significant":[28],"to":[29,120,172],"prediction":[30,52,66,177],"class":[34],"it":[36],"mainly":[37],"uses":[38],"primary":[40],"sequence,":[41,45],"predicted":[42],"secondary":[43],"structure":[44],"position-specific":[47],"scoring":[48],"matrix":[49],"(PSSM).":[50],"Currently,":[51],"solely":[53],"based":[54,90],"on":[55,91,141],"the":[56,65,116,130,152,161],"PSSM":[57],"has":[58],"played":[59],"a":[60,73,108],"key":[61],"role":[62],"in":[63,104],"improving":[64],"accuracy.":[67],"In":[68],"this":[69,105],"paper,":[70],"we":[71],"propose":[72],"novel":[74],"method":[75,159],"called":[76],"CSP-SegPseP-SegACP":[77],"by":[78,122],"fusing":[79],"consensus":[80],"sequence":[81],"(CS),":[82],"segmented":[83,86],"PsePSSM,":[84],"autocovariance":[87],"transformation":[88],"(ACT)":[89],"PSSM.":[92],"Three":[93],"widely":[94],"used":[95],"datasets":[97],"(1189,":[98],"25PDB,":[99,143],"640)":[101],"are":[102,139],"adopted":[103],"paper.":[106],"Then":[107],"700-dimensional":[109],"(700D)":[110],"vector":[112],"constructed":[114],"dimension":[117],"decreased":[119],"224D":[121],"using":[123],"principal":[124],"component":[125],"analysis":[126],"(PCA).":[127],"To":[128],"verify":[129],"performance":[131],"our":[133,149,158],"method,":[134],"rigorous":[135],"jackknife":[136],"cross-validation":[137],"tests":[138],"performed":[140],"1189,":[142],"640":[145],"datasets.":[146],"Comparison":[147],"results":[150],"with":[151],"existing":[153],"PSSM-based":[154,174],"methods":[155,175],"demonstrates":[156],"achieves":[160],"favorable":[162],"competitive":[164],"performance.":[165],"This":[166],"will":[167],"offer":[168],"an":[169],"important":[170],"complementary":[171],"other":[173],"sequences.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
