{"id":"https://openalex.org/W2108684729","doi":"https://doi.org/10.1109/ijcnn.2005.1555881","title":"Prediction of contact map integrated PNN with conformational energy","display_name":"Prediction of contact map integrated PNN with conformational energy","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W2108684729","doi":"https://doi.org/10.1109/ijcnn.2005.1555881","mag":"2108684729"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1555881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555881","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100629119","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-5810-8159"},"institutions":[{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Chen","raw_affiliation_strings":["Department of Automation, University of Science and Technology, Hefei, Anhui, China","Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy and Sciences, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy and Sciences, Hefei, Anhui, China","institution_ids":["https://openalex.org/I4210099079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060381913","display_name":"De-Shuang Huang","orcid":"https://orcid.org/0000-0002-6759-2691"},"institutions":[{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Shuang Huang","raw_affiliation_strings":["Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy and Sciences, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy and Sciences, Hefei, Anhui, China","institution_ids":["https://openalex.org/I4210099079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382568","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0003-4945-7725"},"institutions":[{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["Department of Automation, University of Science and Technology, Hefei, Anhui, China","Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy and Sciences, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy and Sciences, Hefei, Anhui, China","institution_ids":["https://openalex.org/I4210099079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087539917","display_name":"Yunping Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132047","display_name":"Beijing Radiation Center","ror":"https://ror.org/030t7nd77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132047"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunping Zhu","raw_affiliation_strings":["Beijing Institute of Radiation Medicine, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Radiation Medicine, Beijing, China","institution_ids":["https://openalex.org/I4210132047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008280608","display_name":"Yixue Li","orcid":"https://orcid.org/0000-0002-1198-7176"},"institutions":[{"id":"https://openalex.org/I4210106477","display_name":"Shanghai Institutes for Biological Sciences","ror":"https://ror.org/011rf9d86","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106477"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixue Li","raw_affiliation_strings":["Bioinformatics Center, Shanghai Institutes for Biological Sciences, Chinese Academy and Sciences, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Bioinformatics Center, Shanghai Institutes for Biological Sciences, Chinese Academy and Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210106477"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100629119"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I4210099079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.1503006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"499","last_page":"502"},"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":0.9998000264167786,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6432927250862122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6079927682876587},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.5393649339675903},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5150008201599121},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5091349482536316},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48548629879951477},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.48072126507759094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47722986340522766},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46416476368904114},{"id":"https://openalex.org/keywords/cutoff","display_name":"Cutoff","score":0.4353249669075012},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4335739016532898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4218495190143585},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4088461995124817},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.35167670249938965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21234047412872314},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.20286977291107178},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.16485163569450378},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15012183785438538},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.09442880749702454},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08625245094299316}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6432927250862122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079927682876587},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.5393649339675903},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5150008201599121},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5091349482536316},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48548629879951477},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48072126507759094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47722986340522766},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46416476368904114},{"id":"https://openalex.org/C2778217198","wikidata":"https://www.wikidata.org/wiki/Q556977","display_name":"Cutoff","level":2,"score":0.4353249669075012},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4335739016532898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4218495190143585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4088461995124817},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.35167670249938965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21234047412872314},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.20286977291107178},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16485163569450378},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15012183785438538},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.09442880749702454},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08625245094299316},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1555881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555881","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1964168965","https://openalex.org/W1971281742","https://openalex.org/W2003853681","https://openalex.org/W2013507130","https://openalex.org/W2015390241","https://openalex.org/W2130479394","https://openalex.org/W2140960822","https://openalex.org/W2154106236","https://openalex.org/W4234625355","https://openalex.org/W4241510212"],"related_works":["https://openalex.org/W3092388660","https://openalex.org/W1778838665","https://openalex.org/W1986953345","https://openalex.org/W3175879137","https://openalex.org/W2328322229","https://openalex.org/W2119262383","https://openalex.org/W4320056724","https://openalex.org/W1991381172","https://openalex.org/W2140811728","https://openalex.org/W2988849960"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,16,126,137],"novel":[4],"method":[5,84,106,116,129],"to":[6,94,150],"solve":[7],"the":[8,42,73,86,96,114,120],"protein's":[9],"three-dimensional":[10],"structure":[11],"prediction":[12],"problem.":[13],"It":[14],"is":[15,62,69,107,148],"machine":[17],"learning":[18],"approach":[19],"by":[20,64],"integrating":[21],"probabilistic":[22],"neural":[23],"network":[24],"(PNN)":[25],"with":[26,51],"conformational":[27],"energy":[28],"function":[29],"(CEF)":[30],"based":[31],"on":[32],"chemico-physical":[33,89],"knowledge":[34],"of":[35,59,76,91,117,134,140],"amino":[36,77,92],"acids.":[37],"In":[38,81],"this":[39,83,128],"method,":[40],"firstly,":[41],"principal":[43],"components":[44],"are":[45],"extracted":[46],"from":[47],"selected":[48],"protein":[49],"structures":[50],"lower":[52],"sequence":[53,146],"identity,":[54],"and":[55,88,119],"an":[56],"initial":[57],"matrix":[58],"contact":[60],"map":[61],"constructed":[63],"K-L":[65],"expansion.":[66],"Secondly,":[67],"PNN":[68,97],"used":[70],"for":[71,143],"predicting":[72],"long-range":[74],"interaction":[75],"acids":[78,93],"in":[79],"protein.":[80],"particular,":[82],"uses":[85],"CEF":[87],"characteristics":[90],"run":[95],"predictor.":[98],"Consequently,":[99],"it":[100],"was":[101],"found":[102],"that":[103],"our":[104],"proposed":[105],"better":[108],"than":[109],"existing":[110],"methods,":[111],"such":[112],"as":[113],"hybrid":[115],"HMMSTR":[118],"correlated":[121],"mutation":[122],"analysis":[123],"method.":[124],"As":[125],"result,":[127],"can":[130],"accurately":[131],"predict":[132],"31%":[133],"contacts":[135],"at":[136],"distance":[138],"cutoff":[139],"8/spl":[141],"Aring/":[142],"proteins":[144],"whose":[145],"length":[147],"up":[149],"200.":[151]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
