{"id":"https://openalex.org/W3193971710","doi":"https://doi.org/10.1186/s13040-021-00275-6","title":"Prediction of MoRFs based on sequence properties and convolutional neural networks","display_name":"Prediction of MoRFs based on sequence properties and convolutional neural networks","publication_year":2021,"publication_date":"2021-08-14","ids":{"openalex":"https://openalex.org/W3193971710","doi":"https://doi.org/10.1186/s13040-021-00275-6","mag":"3193971710","pmid":"https://pubmed.ncbi.nlm.nih.gov/34391457"},"language":"en","primary_location":{"id":"doi:10.1186/s13040-021-00275-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13040-021-00275-6","pdf_url":"https://biodatamining.biomedcentral.com/track/pdf/10.1186/s13040-021-00275-6","source":{"id":"https://openalex.org/S84409260","display_name":"BioData Mining","issn_l":"1756-0381","issn":["1756-0381"],"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":"BioData Mining","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://biodatamining.biomedcentral.com/track/pdf/10.1186/s13040-021-00275-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100659294","display_name":"Hao He","orcid":"https://orcid.org/0000-0003-0996-7202"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao He","raw_affiliation_strings":["School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090428405","display_name":"Yatong Zhou","orcid":"https://orcid.org/0000-0001-6593-6334"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yatong Zhou","raw_affiliation_strings":["School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China. zyt@hebut.edu.cn","School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6593-6334","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China. zyt@hebut.edu.cn","institution_ids":["https://openalex.org/I184843921"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055371716","display_name":"Yue Chi","orcid":"https://orcid.org/0009-0005-6404-8569"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Chi","raw_affiliation_strings":["School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058324035","display_name":"Jingfei He","orcid":"https://orcid.org/0000-0002-5792-4103"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfei He","raw_affiliation_strings":["School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090428405"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":{"value":2490,"currency":"USD","value_usd":2490},"apc_paid":{"value":2490,"currency":"USD","value_usd":2490},"fwci":1.0565,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79967041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"1","first_page":"39","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9990000128746033,"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":0.9990000128746033,"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":0.6803171634674072},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6166680455207825},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6117795705795288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5258838534355164},{"id":"https://openalex.org/keywords/intrinsically-disordered-proteins","display_name":"Intrinsically disordered proteins","score":0.46206340193748474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4242435693740845},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3526819348335266},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.22573283314704895},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14840638637542725},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.07350924611091614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803171634674072},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6166680455207825},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6117795705795288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5258838534355164},{"id":"https://openalex.org/C2778815515","wikidata":"https://www.wikidata.org/wiki/Q3408242","display_name":"Intrinsically disordered proteins","level":2,"score":0.46206340193748474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4242435693740845},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3526819348335266},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.22573283314704895},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14840638637542725},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.07350924611091614}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s13040-021-00275-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13040-021-00275-6","pdf_url":"https://biodatamining.biomedcentral.com/track/pdf/10.1186/s13040-021-00275-6","source":{"id":"https://openalex.org/S84409260","display_name":"BioData Mining","issn_l":"1756-0381","issn":["1756-0381"],"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":"BioData Mining","raw_type":"journal-article"},{"id":"pmid:34391457","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34391457","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":"BioData mining","raw_type":null},{"id":"pmh:oai:doaj.org/article:9e5338c5759c41aebf49a026dcc817ad","is_oa":true,"landing_page_url":"https://doaj.org/article/9e5338c5759c41aebf49a026dcc817ad","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BioData Mining, Vol 14, Iss 1, Pp 1-11 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8364704","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8364704","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":"BioData Min","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s13040-021-00275-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13040-021-00275-6","pdf_url":"https://biodatamining.biomedcentral.com/track/pdf/10.1186/s13040-021-00275-6","source":{"id":"https://openalex.org/S84409260","display_name":"BioData Mining","issn_l":"1756-0381","issn":["1756-0381"],"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":"BioData Mining","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8430290716","display_name":null,"funder_award_id":"61801164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3193971710.pdf","grobid_xml":"https://content.openalex.org/works/W3193971710.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1993254552","https://openalex.org/W1994151152","https://openalex.org/W1994840640","https://openalex.org/W2027035874","https://openalex.org/W2043338013","https://openalex.org/W2055193239","https://openalex.org/W2088634386","https://openalex.org/W2092920038","https://openalex.org/W2109872885","https://openalex.org/W2115652057","https://openalex.org/W2124707779","https://openalex.org/W2126064524","https://openalex.org/W2126997165","https://openalex.org/W2148271643","https://openalex.org/W2149285542","https://openalex.org/W2156407548","https://openalex.org/W2156465034","https://openalex.org/W2158714788","https://openalex.org/W2168220711","https://openalex.org/W2169802764","https://openalex.org/W2246311611","https://openalex.org/W2366093519","https://openalex.org/W2755096271","https://openalex.org/W2790001298","https://openalex.org/W2791856095","https://openalex.org/W2795402036","https://openalex.org/W2912720243","https://openalex.org/W2955270221","https://openalex.org/W2964121744","https://openalex.org/W2982703800","https://openalex.org/W3007616265"],"related_works":["https://openalex.org/W4293203577","https://openalex.org/W2964159616","https://openalex.org/W2069098917","https://openalex.org/W2969721268","https://openalex.org/W2084314845","https://openalex.org/W2383104153","https://openalex.org/W2946244273","https://openalex.org/W4285228347","https://openalex.org/W2147733973","https://openalex.org/W2077487109"],"abstract_inverted_index":{"Abstract":[0],"Background":[1],"Intrinsically":[2],"disordered":[3,40],"proteins":[4],"possess":[5],"flexible":[6],"3-D":[7],"structures,":[8],"which":[9,34,79,149],"makes":[10],"them":[11],"play":[12],"an":[13,28],"important":[14,29],"role":[15],"in":[16],"a":[17,54,143],"variety":[18],"of":[19,31],"biological":[20],"functions.":[21],"Molecular":[22],"recognition":[23],"features":[24],"(MoRFs)":[25],"act":[26],"as":[27],"type":[30],"functional":[32],"regions,":[33],"are":[35,80,104,116],"located":[36],"within":[37],"longer":[38],"intrinsically":[39],"regions":[41],"and":[42,66,76,88,99,167],"undergo":[43],"disorder-to-order":[44],"transitions":[45],"upon":[46],"binding":[47],"their":[48],"interaction":[49],"partners.":[50],"Results":[51],"We":[52],"develop":[53],"method,":[55],"MoRF":[56,134,140,163],"CNN":[57,135,141,164],",":[58],"to":[59,82,91,106,122],"predict":[60,123],"MoRFs":[61,87,124,146],"based":[62],"on":[63],"sequence":[64,72,153],"properties":[65,73,78,115,154],"convolutional":[67],"neural":[68],"networks":[69],"(CNNs).":[70],"The":[71,158],"contain":[74],"structural":[75],"physicochemical":[77],"used":[81],"describe":[83],"the":[84,93,96,108,119,126],"differences":[85],"between":[86,95],"non-MoRFs.":[89],"Especially,":[90],"highlight":[92],"correlation":[94],"target":[97],"residue":[98],"adjacent":[100],"residues,":[101],"three":[102],"windows":[103],"selected":[105,109],"preprocess":[107],"properties.":[110],"After":[111],"that,":[112],"these":[113],"calculated":[114],"combined":[117],"into":[118],"feature":[120],"matrix":[121],"through":[125],"constructed":[127],"CNN.":[128],"Comparing":[129],"with":[130],"other":[131],"existing":[132],"methods,":[133],"obtains":[136],"better":[137],"performance.":[138],"Conclusions":[139],"is":[142,165],"new":[144],"individual":[145],"prediction":[147],"method":[148],"just":[150],"uses":[151],"protein":[152],"without":[155],"evolutionary":[156],"information.":[157],"simulation":[159],"results":[160],"show":[161],"that":[162],"effective":[166],"competitive.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
