{"id":"https://openalex.org/W3195831412","doi":"https://doi.org/10.1093/bib/bbab291","title":"Comparative analysis of molecular fingerprints in prediction of drug combination effects","display_name":"Comparative analysis of molecular fingerprints in prediction of drug combination effects","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W3195831412","doi":"https://doi.org/10.1093/bib/bbab291","mag":"3195831412","pmid":"https://pubmed.ncbi.nlm.nih.gov/34401895"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbab291","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbab291","pdf_url":"https://academic.oup.com/bib/article-pdf/22/6/bbab291/41974966/bbab291.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://academic.oup.com/bib/article-pdf/22/6/bbab291/41974966/bbab291.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005406767","display_name":"Bulat Zagidullin","orcid":"https://orcid.org/0000-0002-8386-110X"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"B Zagidullin","raw_affiliation_strings":["Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0002-8386-110X","affiliations":[{"raw_affiliation_string":"Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653660","display_name":"Ziyan Wang","orcid":"https://orcid.org/0000-0001-5624-5275"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Z Wang","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, USA"],"raw_orcid":"https://orcid.org/0000-0001-5624-5275","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011032655","display_name":"Yuanfang Guan","orcid":"https://orcid.org/0000-0001-8275-2852"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y Guan","raw_affiliation_strings":["Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, USA"],"raw_orcid":"https://orcid.org/0000-0001-8275-2852","affiliations":[{"raw_affiliation_string":"Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004439161","display_name":"Esa Pitk\u00e4nen","orcid":"https://orcid.org/0000-0002-9818-6370"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]},{"id":"https://openalex.org/I4210133586","display_name":"Institute for Molecular Medicine Finland","ror":"https://ror.org/030sbze61","country_code":"FI","type":"facility","lineage":["https://openalex.org/I133731052","https://openalex.org/I4210133586"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"E Pitk\u00e4nen","raw_affiliation_strings":["Institute for Molecular Medicine Finland (FIMM) & Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0002-9818-6370","affiliations":[{"raw_affiliation_string":"Institute for Molecular Medicine Finland (FIMM) & Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Finland","institution_ids":["https://openalex.org/I133731052","https://openalex.org/I4210133586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083397767","display_name":"Jing Tang","orcid":"https://orcid.org/0000-0001-7480-7710"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"J Tang","raw_affiliation_strings":["Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0001-7480-7710","affiliations":[{"raw_affiliation_string":"Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005406767","https://openalex.org/A5083397767"],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":10.152,"has_fulltext":false,"cited_by_count":109,"citation_normalized_percentile":{"value":0.98636344,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"22","issue":"6","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":0.9976999759674072,"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":0.982200026512146,"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/interpretability","display_name":"Interpretability","score":0.85079026222229},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6582351326942444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6427395343780518},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6016321778297424},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5852784514427185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5391891598701477},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5280663967132568},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5232837796211243},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4700283706188202},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.42380380630493164},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4223615527153015},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.41159605979919434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11135709285736084},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.0987946093082428},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09262707829475403},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09102773666381836}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.85079026222229},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6582351326942444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6427395343780518},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6016321778297424},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5852784514427185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5391891598701477},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5280663967132568},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5232837796211243},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4700283706188202},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.42380380630493164},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4223615527153015},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.41159605979919434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11135709285736084},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0987946093082428},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09262707829475403},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09102773666381836},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"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":"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":true},{"descriptor_ui":"D004338","descriptor_name":"Drug Combinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004338","descriptor_name":"Drug Combinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004338","descriptor_name":"Drug Combinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004338","descriptor_name":"Drug Combinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045744","descriptor_name":"Cell Line, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045744","descriptor_name":"Cell Line, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045744","descriptor_name":"Cell Line, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045744","descriptor_name":"Cell Line, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045744","descriptor_name":"Cell Line, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1093/bib/bbab291","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbab291","pdf_url":"https://academic.oup.com/bib/article-pdf/22/6/bbab291/41974966/bbab291.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:34401895","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34401895","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},{"id":"pmh:oai:europepmc.org:7467700","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8574997","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:helda.helsinki.fi:10138/338548","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/338548","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8574997","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8574997","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":"Brief Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bib/bbab291","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbab291","pdf_url":"https://academic.oup.com/bib/article-pdf/22/6/bbab291/41974966/bbab291.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2496829247","display_name":null,"funder_award_id":"716063","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G5007772791","display_name":null,"funder_award_id":"322675","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G567548063","display_name":"Deep probabilistic modeling of somatic mutagenesis","funder_award_id":"322675","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":131,"referenced_works":["https://openalex.org/W29779864","https://openalex.org/W1502810280","https://openalex.org/W1517808374","https://openalex.org/W1638081485","https://openalex.org/W1696775091","https://openalex.org/W1757990252","https://openalex.org/W1823184461","https://openalex.org/W1915767302","https://openalex.org/W1975147762","https://openalex.org/W1988037271","https://openalex.org/W1988909822","https://openalex.org/W1991110341","https://openalex.org/W2028768336","https://openalex.org/W2033757486","https://openalex.org/W2044834685","https://openalex.org/W2049899751","https://openalex.org/W2058867629","https://openalex.org/W2060531713","https://openalex.org/W2060737851","https://openalex.org/W2064576005","https://openalex.org/W2085487226","https://openalex.org/W2096541451","https://openalex.org/W2101267652","https://openalex.org/W2109991441","https://openalex.org/W2115147179","https://openalex.org/W2115517051","https://openalex.org/W2119512897","https://openalex.org/W2122686681","https://openalex.org/W2126821513","https://openalex.org/W2133324003","https://openalex.org/W2145544165","https://openalex.org/W2151557482","https://openalex.org/W2151697120","https://openalex.org/W2167844587","https://openalex.org/W2168745915","https://openalex.org/W2170973067","https://openalex.org/W2200017991","https://openalex.org/W2223501982","https://openalex.org/W2266594083","https://openalex.org/W2290847742","https://openalex.org/W2299417213","https://openalex.org/W2335854816","https://openalex.org/W2412446857","https://openalex.org/W2472085920","https://openalex.org/W2472097883","https://openalex.org/W2488701045","https://openalex.org/W2529996553","https://openalex.org/W2552949058","https://openalex.org/W2594183968","https://openalex.org/W2604314403","https://openalex.org/W2605156573","https://openalex.org/W2608863179","https://openalex.org/W2739326744","https://openalex.org/W2767204723","https://openalex.org/W2775061087","https://openalex.org/W2801991413","https://openalex.org/W2806547269","https://openalex.org/W2883161521","https://openalex.org/W2886544065","https://openalex.org/W2888109941","https://openalex.org/W2892221324","https://openalex.org/W2901476322","https://openalex.org/W2901719664","https://openalex.org/W2911789160","https://openalex.org/W2913997948","https://openalex.org/W2935857979","https://openalex.org/W2938282337","https://openalex.org/W2942173509","https://openalex.org/W2942810103","https://openalex.org/W2947607756","https://openalex.org/W2949676527","https://openalex.org/W2950182476","https://openalex.org/W2950860419","https://openalex.org/W2951048875","https://openalex.org/W2951449549","https://openalex.org/W2951934944","https://openalex.org/W2958089299","https://openalex.org/W2960677646","https://openalex.org/W2963403868","https://openalex.org/W2963905884","https://openalex.org/W2966357564","https://openalex.org/W2971044152","https://openalex.org/W2971690404","https://openalex.org/W2982209755","https://openalex.org/W2987201163","https://openalex.org/W2992752586","https://openalex.org/W2995175648","https://openalex.org/W2998175747","https://openalex.org/W2998571806","https://openalex.org/W2998678080","https://openalex.org/W2999044305","https://openalex.org/W3007118752","https://openalex.org/W3012107310","https://openalex.org/W3023204497","https://openalex.org/W3044724994","https://openalex.org/W3080555959","https://openalex.org/W3081125651","https://openalex.org/W3082081167","https://openalex.org/W3094540299","https://openalex.org/W3098269892","https://openalex.org/W3098762731","https://openalex.org/W3100078588","https://openalex.org/W3100157108","https://openalex.org/W3109334814","https://openalex.org/W3120618935","https://openalex.org/W3125539506","https://openalex.org/W3130891966","https://openalex.org/W3158331815","https://openalex.org/W4235600336","https://openalex.org/W4242401062","https://openalex.org/W4247236552","https://openalex.org/W4287724045","https://openalex.org/W4287780403","https://openalex.org/W4294103325","https://openalex.org/W4297730150","https://openalex.org/W4298882835","https://openalex.org/W4385245566","https://openalex.org/W4392220958","https://openalex.org/W6630956611","https://openalex.org/W6631943919","https://openalex.org/W6639832135","https://openalex.org/W6681474176","https://openalex.org/W6682889407","https://openalex.org/W6689127954","https://openalex.org/W6703221619","https://openalex.org/W6739901393","https://openalex.org/W6743460468","https://openalex.org/W6745682157","https://openalex.org/W6795039911","https://openalex.org/W6804757102","https://openalex.org/W6828911396"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W1482441085","https://openalex.org/W2966858528","https://openalex.org/W2151687600"],"abstract_inverted_index":{"Application":[0],"of":[1,18,36,57,68,78,92],"machine":[2],"and":[3,10,51,61,95,132,138],"deep":[4],"learning":[5],"methods":[6],"in":[7,20,40,55,82],"drug":[8,58,62,141],"discovery":[9],"cancer":[11,84],"research":[12],"has":[13],"gained":[14],"a":[15],"considerable":[16],"amount":[17],"attention":[19],"the":[21,25,34,89,101],"past":[22],"years.":[23],"As":[24],"field":[26],"grows,":[27],"it":[28,117],"becomes":[29],"crucial":[30],"to":[31,42,110,120],"systematically":[32],"evaluate":[33,88],"performance":[35,91],"novel":[37],"computational":[38],"solutions":[39],"relation":[41],"established":[43],"techniques.":[44],"To":[45],"this":[46],"end,":[47],"we":[48],"compare":[49],"rule-based":[50],"data-driven":[52],"molecular":[53,93,114],"representations":[54,94],"prediction":[56],"combination":[59],"sensitivity":[60],"synergy":[63],"scores":[64],"using":[65],"standardized":[66],"results":[67,124],"14":[69],"high-throughput":[70],"screening":[71],"studies,":[72],"comprising":[73],"64":[74],"200":[75],"unique":[76],"combinations":[77],"4153":[79],"molecules":[80],"tested":[81],"112":[83],"cell":[85],"lines.":[86],"We":[87],"clustering":[90],"quantify":[96],"their":[97],"similarity":[98],"by":[99],"adapting":[100],"Centered":[102],"Kernel":[103],"Alignment":[104],"metric.":[105],"Our":[106],"work":[107],"demonstrates":[108],"that":[109],"identify":[111],"an":[112],"optimal":[113],"representation":[115],"type,":[116],"is":[118],"necessary":[119],"supplement":[121],"quantitative":[122],"benchmark":[123],"with":[125],"qualitative":[126],"considerations,":[127],"such":[128],"as":[129],"model":[130],"interpretability":[131],"robustness,":[133],"which":[134],"may":[135],"vary":[136],"between":[137],"throughout":[139],"preclinical":[140],"development":[142],"projects.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}