{"id":"https://openalex.org/W2775101665","doi":"https://doi.org/10.1109/bibm.2017.8217618","title":"Effective small interfering RNA design based on convolutional neural network","display_name":"Effective small interfering RNA design based on convolutional neural network","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2775101665","doi":"https://doi.org/10.1109/bibm.2017.8217618","mag":"2775101665"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2017.8217618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015534864","display_name":"Ye Han","orcid":"https://orcid.org/0000-0002-7001-4753"},"institutions":[{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Han","raw_affiliation_strings":["School of Information Technology, Jilin Agricultural University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jilin Agricultural University, Changchun, China","institution_ids":["https://openalex.org/I4210152006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087149818","display_name":"Fei He","orcid":"https://orcid.org/0000-0002-3284-9506"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei He","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103082459","display_name":"Tan Xian","orcid":"https://orcid.org/0000-0002-8911-4703"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Tan","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107930382","display_name":"Helong Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Helong Yu","raw_affiliation_strings":["School of Information Technology, Jilin Agricultural University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jilin Agricultural University, Changchun, China","institution_ids":["https://openalex.org/I4210152006"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7002,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90156047,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"16","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10725","display_name":"RNA Interference and Gene Delivery","score":1.0,"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/T10725","display_name":"RNA Interference and Gene Delivery","score":1.0,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9988999962806702,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/rna-interference","display_name":"RNA interference","score":0.7647080421447754},{"id":"https://openalex.org/keywords/gene-silencing","display_name":"Gene silencing","score":0.7526751756668091},{"id":"https://openalex.org/keywords/small-interfering-rna","display_name":"Small interfering RNA","score":0.73397296667099},{"id":"https://openalex.org/keywords/gene-knockdown","display_name":"Gene knockdown","score":0.6864184737205505},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6854222416877747},{"id":"https://openalex.org/keywords/trans-acting-sirna","display_name":"Trans-acting siRNA","score":0.5898619294166565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5840617418289185},{"id":"https://openalex.org/keywords/functional-genomics","display_name":"Functional genomics","score":0.5308049321174622},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4861721396446228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.467805415391922},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4557097554206848},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4406657814979553},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43967169523239136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3784763813018799},{"id":"https://openalex.org/keywords/rna","display_name":"RNA","score":0.370266318321228},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.34075725078582764},{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.2719191908836365},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.24999487400054932},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18254944682121277},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1492464542388916},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.12707147002220154}],"concepts":[{"id":"https://openalex.org/C166703698","wikidata":"https://www.wikidata.org/wiki/Q201993","display_name":"RNA interference","level":4,"score":0.7647080421447754},{"id":"https://openalex.org/C119056186","wikidata":"https://www.wikidata.org/wiki/Q1431332","display_name":"Gene silencing","level":3,"score":0.7526751756668091},{"id":"https://openalex.org/C22615655","wikidata":"https://www.wikidata.org/wiki/Q203221","display_name":"Small interfering RNA","level":4,"score":0.73397296667099},{"id":"https://openalex.org/C173396325","wikidata":"https://www.wikidata.org/wiki/Q1501275","display_name":"Gene knockdown","level":3,"score":0.6864184737205505},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6854222416877747},{"id":"https://openalex.org/C60723119","wikidata":"https://www.wikidata.org/wiki/Q7833577","display_name":"Trans-acting siRNA","level":5,"score":0.5898619294166565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5840617418289185},{"id":"https://openalex.org/C161078062","wikidata":"https://www.wikidata.org/wiki/Q1068690","display_name":"Functional genomics","level":5,"score":0.5308049321174622},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4861721396446228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.467805415391922},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4557097554206848},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4406657814979553},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43967169523239136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3784763813018799},{"id":"https://openalex.org/C67705224","wikidata":"https://www.wikidata.org/wiki/Q11053","display_name":"RNA","level":3,"score":0.370266318321228},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.34075725078582764},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.2719191908836365},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.24999487400054932},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18254944682121277},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1492464542388916},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.12707147002220154},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2017.8217618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1486450190","https://openalex.org/W1520518044","https://openalex.org/W1534256444","https://openalex.org/W1611419331","https://openalex.org/W1647075334","https://openalex.org/W1988783048","https://openalex.org/W2004812096","https://openalex.org/W2009207290","https://openalex.org/W2023246459","https://openalex.org/W2033471072","https://openalex.org/W2054757478","https://openalex.org/W2084851425","https://openalex.org/W2107914931","https://openalex.org/W2119118395","https://openalex.org/W2149538815","https://openalex.org/W2151162785","https://openalex.org/W2153174576","https://openalex.org/W2160923685","https://openalex.org/W2165366948","https://openalex.org/W2166802510","https://openalex.org/W2167567753","https://openalex.org/W2580930830","https://openalex.org/W2594561511","https://openalex.org/W2601708340"],"related_works":["https://openalex.org/W2024030923","https://openalex.org/W2392176201","https://openalex.org/W2044279756","https://openalex.org/W2050288958","https://openalex.org/W2783595154","https://openalex.org/W2167018286","https://openalex.org/W190167036","https://openalex.org/W2373307833","https://openalex.org/W2460036559","https://openalex.org/W2047147668"],"abstract_inverted_index":{"In":[0,61,125],"functional":[1],"genomics,":[2],"small":[3],"interfering":[4],"RNA":[5,34],"(siRNA)":[6],"can":[7],"be":[8],"used":[9],"to":[10,64,160],"knockdown":[11],"gene":[12,17,26,72],"expression.":[13],"Usually,":[14],"a":[15,32,43,82,88],"target":[16],"has":[18],"numerous":[19],"potential":[20],"siRNAs,":[21],"but":[22],"their":[23],"efficiencies":[24],"of":[25,68,107,134],"silencing":[27,73,163],"often":[28],"varies.":[29],"Thus,":[30],"for":[31],"successful":[33],"interference":[35],"(RNAi),":[36],"selecting":[37],"the":[38,53,66,77,102,127,130],"most":[39],"effective":[40],"siRNA":[41,162],"is":[42,57,110,113,137,140,156],"critical":[44],"step.":[45],"Despite":[46],"various":[47],"computational":[48],"algorithms":[49],"have":[50],"been":[51],"developed,":[52],"efficacy":[54],"prediction":[55,78],"accuracy":[56],"not":[58],"so":[59],"satisfactory.":[60],"this":[62],"paper,":[63],"explore":[65],"effect":[67],"different":[69],"motifs":[70],"on":[71],"and":[74,116,123,143,158],"further":[75],"improve":[76],"accuracy,":[79],"we":[80],"developed":[81],"new":[83],"powerful":[84],"predictor":[85],"by":[86],"using":[87],"deep":[89],"learning":[90],"algorithm":[91],"-":[92],"Convolutional":[93],"Neural":[94],"Network":[95],"(CNN).":[96],"The":[97,150],"comparison":[98],"results":[99,151],"showed":[100],"that":[101,153],"Pearson":[103],"Correlation":[104],"Coefficient":[105],"(PCC)":[106],"our":[108,135,154],"model":[109,136,155],"0.717,":[111],"which":[112,139],"13.81%,":[114],"16.78%":[115],"5.91%":[117],"higher":[118,145],"than":[119,146],"Biopredsi,":[120],"i-Score,":[121],"ThermoComposition21":[122],"DSIR.":[124],"addition,":[126],"area":[128],"under":[129],"ROC":[131],"curve":[132],"(AUC)":[133],"0.894,":[138],"10.10%,":[141],"12.59%":[142],"7.07%":[144],"those":[147],"four":[148],"algorithms.":[149],"show":[152],"stable":[157],"efficient":[159],"predict":[161],"efficacy.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}