{"id":"https://openalex.org/W4402135978","doi":"https://doi.org/10.1515/jib-2024-0026","title":"MCMVDRP: a multi-channel multi-view deep learning framework for cancer drug response prediction","display_name":"MCMVDRP: a multi-channel multi-view deep learning framework for cancer drug response prediction","publication_year":2024,"publication_date":"2024-09-01","ids":{"openalex":"https://openalex.org/W4402135978","doi":"https://doi.org/10.1515/jib-2024-0026","pmid":"https://pubmed.ncbi.nlm.nih.gov/39238451"},"language":"en","primary_location":{"id":"doi:10.1515/jib-2024-0026","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jib-2024-0026","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jib-2024-0026/pdf","source":{"id":"https://openalex.org/S4393917359","display_name":"Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics","issn_l":"1432-4385","issn":["1432-4385","1613-4516"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Integrative Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.degruyter.com/document/doi/10.1515/jib-2024-0026/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100460323","display_name":"Xiangy\u00fc Li","orcid":"https://orcid.org/0000-0002-8301-9959"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Li","raw_affiliation_strings":["School of Information and Electronics , 47833 Beijing Institute of Technology , Beijing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics , 47833 Beijing Institute of Technology , Beijing , China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108704863","display_name":"Xiumin Shi","orcid":"https://orcid.org/0000-0002-7749-5940"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiumin Shi","raw_affiliation_strings":["School of Information and Electronics , 47833 Beijing Institute of Technology , Beijing , China"],"raw_orcid":"https://orcid.org/0000-0002-7749-5940","affiliations":[{"raw_affiliation_string":"School of Information and Electronics , 47833 Beijing Institute of Technology , Beijing , China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330835","display_name":"Yuxuan Li","orcid":"https://orcid.org/0000-0002-5145-8607"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Li","raw_affiliation_strings":["School of Information and Electronics , 47833 Beijing Institute of Technology , Beijing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics , 47833 Beijing Institute of Technology , Beijing , China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100364394","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0001-7505-7894"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210140357","display_name":"Renmin Hospital of Wuhan University","ror":"https://ror.org/03ekhbz91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140357"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":["Department of Critical Care Medicine , Renmin Hospital of Wuhan University , Wuhan , Hubei , China"],"raw_orcid":"https://orcid.org/0000-0001-7505-7894","affiliations":[{"raw_affiliation_string":"Department of Critical Care Medicine , Renmin Hospital of Wuhan University , Wuhan , Hubei , China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210140357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108704863"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.2525,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5678045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":"3","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":1.0,"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":1.0,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.993399977684021,"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/drug-response","display_name":"Drug response","score":0.7207221984863281},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.6488355994224548},{"id":"https://openalex.org/keywords/cancer-drugs","display_name":"Cancer drugs","score":0.6038200259208679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5772275328636169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5455427169799805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.521598219871521},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5077956318855286},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.45559218525886536},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4259827435016632},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3713015913963318},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.28218960762023926},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.21665501594543457},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.2028927206993103},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10928532481193542}],"concepts":[{"id":"https://openalex.org/C2994119904","wikidata":"https://www.wikidata.org/wiki/Q1251001","display_name":"Drug response","level":3,"score":0.7207221984863281},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.6488355994224548},{"id":"https://openalex.org/C3020340455","wikidata":"https://www.wikidata.org/wiki/Q974135","display_name":"Cancer drugs","level":3,"score":0.6038200259208679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5772275328636169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5455427169799805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.521598219871521},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5077956318855286},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.45559218525886536},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4259827435016632},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3713015913963318},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28218960762023926},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.21665501594543457},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.2028927206993103},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10928532481193542},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1515/jib-2024-0026","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jib-2024-0026","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jib-2024-0026/pdf","source":{"id":"https://openalex.org/S4393917359","display_name":"Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics","issn_l":"1432-4385","issn":["1432-4385","1613-4516"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Integrative Bioinformatics","raw_type":"journal-article"},{"id":"pmid:39238451","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39238451","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":"Journal of integrative bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11602226","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11602226","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11602226/pdf/jib-21-3-jib-2024-0026.pdf","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":"J Integr Bioinform","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:1641c9b3c5c34817b001ea2ca0b7a5cf","is_oa":false,"landing_page_url":"https://doaj.org/article/1641c9b3c5c34817b001ea2ca0b7a5cf","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":"Journal of Integrative Bioinformatics, Vol 21, Iss 3, Pp 1093-8 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jib-2024-0026","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jib-2024-0026","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jib-2024-0026/pdf","source":{"id":"https://openalex.org/S4393917359","display_name":"Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics","issn_l":"1432-4385","issn":["1432-4385","1613-4516"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Integrative Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402135978.pdf","grobid_xml":"https://content.openalex.org/works/W4402135978.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1975147762","https://openalex.org/W2043398720","https://openalex.org/W2087312216","https://openalex.org/W2108068107","https://openalex.org/W2125789330","https://openalex.org/W2158485828","https://openalex.org/W2197241765","https://openalex.org/W2501016862","https://openalex.org/W2766708596","https://openalex.org/W2787055278","https://openalex.org/W2802321540","https://openalex.org/W2965750004","https://openalex.org/W3120907553","https://openalex.org/W3130891725","https://openalex.org/W4294831561","https://openalex.org/W4295900303","https://openalex.org/W4296162381","https://openalex.org/W4391382228"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W1997438133","https://openalex.org/W3205561628","https://openalex.org/W2321880618","https://openalex.org/W4283076622"],"abstract_inverted_index":{"Drug":[0],"therapy":[1],"remains":[2],"the":[3,30,38,43,55,111,114,118,134,154,162,167,174],"primary":[4],"approach":[5,101],"to":[6,24,94,160],"treating":[7],"tumours.":[8],"Variability":[9],"among":[10],"cancer":[11,34,137],"patients,":[12],"including":[13],"variations":[14],"in":[15,20,58,86,181],"genomic":[16,44],"profiles,":[17],"often":[18],"results":[19,171],"divergent":[21],"therapeutic":[22],"responses":[23,72],"analogous":[25],"anti-cancer":[26],"drug":[27,39,71,138,163],"treatments":[28],"within":[29],"same":[31],"cohort":[32],"of":[33,47,91,109,136,146,156],"patients.":[35],"Hence,":[36],"predicting":[37,70],"response":[40,164],"by":[41,153],"analysing":[42],"profile":[45],"characteristics":[46],"individual":[48],"patients":[49],"holds":[50],"significant":[51],"research":[52],"importance.":[53],"With":[54],"notable":[56],"progress":[57],"machine":[59],"learning":[60,127],"and":[61,78,117],"deep":[62,126],"learning,":[63],"many":[64],"effective":[65],"methods":[66,83],"have":[67],"emerged":[68],"for":[69,102,133],"utilizing":[73],"features":[74,92,149],"from":[75],"both":[76],"drugs":[77,103],"cell":[79],"lines.":[80],"However,":[81],"these":[82,147],"are":[84],"inadequate":[85],"capturing":[87],"a":[88,99,124],"sufficient":[89],"number":[90],"inherent":[93],"drugs.":[95],"Consequently,":[96],"we":[97],"propose":[98],"representational":[100],"that":[104,173],"incorporates":[105],"three":[106],"distinct":[107],"types":[108],"features:":[110],"molecular":[112,119],"graph,":[113],"SMILE":[115],"strings,":[116],"fingerprints.":[120],"In":[121,140],"this":[122],"study,":[123],"novel":[125],"model,":[128,143],"named":[129],"MCMVDRP,":[130],"is":[131,150],"introduced":[132],"prediction":[135],"responses.":[139],"our":[141],"proposed":[142],"an":[144],"amalgamation":[145],"extracted":[148],"performed,":[151],"followed":[152],"utilization":[155],"fully":[157],"connected":[158],"layers":[159],"predict":[161],"based":[165],"on":[166],"IC50":[168],"values.":[169],"Experimental":[170],"demonstrate":[172],"presented":[175],"model":[176],"outperforms":[177],"current":[178],"state-of-the-art":[179],"models":[180],"performance.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}