{"id":"https://openalex.org/W4309842604","doi":"https://doi.org/10.1093/bib/bbac503","title":"SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction","display_name":"SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction","publication_year":2022,"publication_date":"2022-11-23","ids":{"openalex":"https://openalex.org/W4309842604","doi":"https://doi.org/10.1093/bib/bbac503","pmid":"https://pubmed.ncbi.nlm.nih.gov/36418927"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbac503","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbac503","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"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/A5005226621","display_name":"Tianhao Li","orcid":"https://orcid.org/0000-0002-1398-1181"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Hao Li","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology , Xuzhou, 221116 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology , Xuzhou, 221116 , China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027613930","display_name":"Chun-Chun Wang","orcid":"https://orcid.org/0000-0002-6795-4007"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Chun Wang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology , Xuzhou, 221116 , China"],"raw_orcid":"https://orcid.org/0000-0002-6795-4007","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology , Xuzhou, 221116 , China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425518","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0002-1617-5943"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology , Xuzhou, 221116 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology , Xuzhou, 221116 , China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036210249","display_name":"Xing Chen","orcid":"https://orcid.org/0000-0001-9028-5342"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xing Chen","raw_affiliation_strings":["Artificial Intelligence Research Institute, China University of Mining and Technology , Xuzhou, 221116 , China"],"raw_orcid":"https://orcid.org/0000-0001-9028-5342","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Institute, China University of Mining and Technology , Xuzhou, 221116 , China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036210249"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":8.0685,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.98118574,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10755","display_name":"HER2/EGFR in Cancer Research","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9779999852180481,"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":0.5674542188644409},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4854903519153595},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.4691696763038635},{"id":"https://openalex.org/keywords/anticancer-drug","display_name":"Anticancer drug","score":0.4370802640914917},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.4294167757034302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36289316415786743},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.20657622814178467},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20575588941574097},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16023674607276917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5674542188644409},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4854903519153595},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.4691696763038635},{"id":"https://openalex.org/C3018146709","wikidata":"https://www.wikidata.org/wiki/Q974135","display_name":"Anticancer drug","level":3,"score":0.4370802640914917},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.4294167757034302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36289316415786743},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.20657622814178467},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20575588941574097},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16023674607276917}],"mesh":[{"descriptor_ui":"D000971","descriptor_name":"Antineoplastic Combined Chemotherapy Protocols","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000971","descriptor_name":"Antineoplastic Combined Chemotherapy Protocols","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000971","descriptor_name":"Antineoplastic Combined Chemotherapy Protocols","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000971","descriptor_name":"Antineoplastic Combined Chemotherapy Protocols","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":true},{"descriptor_ui":"D000971","descriptor_name":"Antineoplastic Combined Chemotherapy Protocols","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":true},{"descriptor_ui":"D000971","descriptor_name":"Antineoplastic Combined Chemotherapy Protocols","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004338","descriptor_name":"Drug Combinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004338","descriptor_name":"Drug Combinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004338","descriptor_name":"Drug Combinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004357","descriptor_name":"Drug Synergism","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004357","descriptor_name":"Drug Synergism","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004357","descriptor_name":"Drug Synergism","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1093/bib/bbac503","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbac503","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:36418927","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36418927","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":"Briefings in bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G579333840","display_name":"\u57fa\u4e8e\u591a\u6e90\u6570\u636e\u878d\u5408\u7684\u836f\u7269\u54cd\u5e94\u548c\u836f\u7269\u76f8\u5173\u975e\u7f16\u7801RNA\u9776\u70b9\u9884\u6d4b\u7814\u7a76","funder_award_id":"61972399","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8718860373","display_name":"\u56fe\u7406\u8bba\u548c\u7b97\u6cd5\u7814\u7a76\u53ca\u5176\u5728\u751f\u7269\u4fe1\u606f\u5b66\u4e2d\u7684\u5e94\u7528","funder_award_id":"11631014","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":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1435191252","https://openalex.org/W1678356000","https://openalex.org/W1696775091","https://openalex.org/W1880740461","https://openalex.org/W1955055330","https://openalex.org/W2002226820","https://openalex.org/W2002544582","https://openalex.org/W2022593390","https://openalex.org/W2061061337","https://openalex.org/W2061136308","https://openalex.org/W2100563036","https://openalex.org/W2103562758","https://openalex.org/W2111264921","https://openalex.org/W2120255324","https://openalex.org/W2120682915","https://openalex.org/W2122825543","https://openalex.org/W2136008225","https://openalex.org/W2137228442","https://openalex.org/W2140239055","https://openalex.org/W2170346929","https://openalex.org/W2171590421","https://openalex.org/W2299417213","https://openalex.org/W2335854816","https://openalex.org/W2344726805","https://openalex.org/W2461427403","https://openalex.org/W2473876819","https://openalex.org/W2551072359","https://openalex.org/W2565209476","https://openalex.org/W2571957366","https://openalex.org/W2626606138","https://openalex.org/W2726405642","https://openalex.org/W2775061087","https://openalex.org/W2809953005","https://openalex.org/W2890911678","https://openalex.org/W2911964244","https://openalex.org/W2922229918","https://openalex.org/W2935703330","https://openalex.org/W2944974555","https://openalex.org/W2950182476","https://openalex.org/W2959123242","https://openalex.org/W2979327480","https://openalex.org/W3196304395","https://openalex.org/W4206162881","https://openalex.org/W6641059627","https://openalex.org/W6665916606","https://openalex.org/W6677924775","https://openalex.org/W6679208599","https://openalex.org/W6703221619","https://openalex.org/W6745671127","https://openalex.org/W6758540326","https://openalex.org/W6760243088","https://openalex.org/W6763610922","https://openalex.org/W6768904653"],"related_works":["https://openalex.org/W2064168458","https://openalex.org/W4287750422","https://openalex.org/W63936110","https://openalex.org/W4391704058","https://openalex.org/W2592293938","https://openalex.org/W4221157392","https://openalex.org/W3197970974","https://openalex.org/W2033523051","https://openalex.org/W4385436225","https://openalex.org/W2794358477"],"abstract_inverted_index":{"Synergistic":[0],"drug":[1,11,28,56,104,146,149,157,252],"combinations":[2],"can":[3,171],"improve":[4],"the":[5,10,31,40,59,62,85,97,100,108,111,118,122,130,136,141,154,166,174,178,182,189,208,215,238],"therapeutic":[6],"effect":[7],"and":[8,37,74,89,127,188,214],"reduce":[9],"dosage":[12],"to":[13,25,52,95,134,160,247],"avoid":[14],"toxicity.":[15],"In":[16,164,204],"previous":[17,63,239],"years,":[18],"an":[19,244],"in":[20,32,177,195,221],"vitro":[21,33],"approach":[22,246],"was":[23],"utilized":[24],"screen":[26],"synergistic":[27,55,228,251],"combinations.":[29,57,253],"However,":[30],"method":[34,143],"is":[35],"time-consuming":[36],"expensive.":[38],"With":[39],"rapid":[41],"growth":[42],"of":[43,61,99,110,144,156,168,186,193,198,210,217,224,227],"high-throughput":[44],"data,":[45],"computational":[46,64],"methods":[47],"are":[48,233],"becoming":[49],"efficient":[50],"tools":[51],"predict":[53],"potential":[54,175,249],"Considering":[58],"limitations":[60],"methods,":[65],"we":[66],"developed":[67],"a":[68,161],"new":[69],"model":[70],"named":[71],"Siamese":[72,86],"Network":[73],"Random":[75],"Matrix":[76],"Projection":[77],"for":[78,201],"AntiCancer":[79],"Drug":[80],"Combination":[81],"prediction":[82,200,226],"(SNRMPACDC).":[83],"Firstly,":[84],"convolutional":[87,119,169],"network":[88,133],"random":[90],"matrix":[91],"projection":[92],"were":[93,115,125],"used":[94],"process":[96],"features":[98,109,124,147,159],"two":[101],"drugs":[102],"into":[103,129,148],"combination":[105,150,158],"features.":[106,179],"Then,":[107],"cancer":[112],"cell":[113],"line":[114],"processed":[116,123],"through":[117],"network.":[120],"Finally,":[121],"integrated":[126],"input":[128],"multi-layer":[131],"perceptron":[132],"get":[135],"predicted":[137],"score.":[138],"Compared":[139],"with":[140],"traditional":[142],"splicing":[145],"features,":[151],"SNRMPACDC":[152,180,206,241],"improved":[153],"interpretability":[155],"certain":[162],"extent.":[163],"addition,":[165,205],"introduction":[167],"networks":[170],"better":[172,235],"extract":[173],"information":[176],"achieved":[181,207],"root":[183],"mean-squared":[184],"error":[185],"15.01":[187],"Pearson":[190],"correlation":[191],"coefficient":[192],"0.75":[194],"5-fold":[196,222],"cross-validation":[197,223],"regression":[199],"response":[202],"data.":[203],"AUC":[209],"0.91":[211],"\u00b1":[212,219],"0.03":[213],"AUPR":[216],"0.62":[218],"0.05":[220],"classification":[225],"or":[229],"not.":[230],"These":[231],"results":[232],"almost":[234],"than":[236],"all":[237],"models.":[240],"would":[242],"be":[243],"effective":[245],"infer":[248],"anticancer":[250]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":15}],"updated_date":"2026-06-25T06:16:34.145877","created_date":"2022-11-29T00:00:00"}