{"id":"https://openalex.org/W2888141849","doi":"https://doi.org/10.1145/3233547.3233630","title":"Ranking Methods of Candidates for p53 Inhibitors Considering Cytotoxicity Using Machine Learning","display_name":"Ranking Methods of Candidates for p53 Inhibitors Considering Cytotoxicity Using Machine Learning","publication_year":2018,"publication_date":"2018-08-15","ids":{"openalex":"https://openalex.org/W2888141849","doi":"https://doi.org/10.1145/3233547.3233630","mag":"2888141849"},"language":"en","primary_location":{"id":"doi:10.1145/3233547.3233630","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3233547.3233630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058179547","display_name":"Haruka Motohashi","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Haruka Motohashi","raw_affiliation_strings":["Tokyo University of Science, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027939385","display_name":"Tatsuro Teraoka","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuro Teraoka","raw_affiliation_strings":["Tokyo University of Science, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016789715","display_name":"Shin Aoki","orcid":"https://orcid.org/0000-0002-4287-6487"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin Aoki","raw_affiliation_strings":["Tokyo University of Science, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004082634","display_name":"Hayato Ohwada","orcid":"https://orcid.org/0000-0001-5621-6984"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hayato Ohwada","raw_affiliation_strings":["Tokyo University of Science, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058179547"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12134164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"521","last_page":"521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10583","display_name":"Cancer-related Molecular Pathways","score":0.9926000237464905,"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"}},"topics":[{"id":"https://openalex.org/T10583","display_name":"Cancer-related Molecular Pathways","score":0.9926000237464905,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9629999995231628,"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/T12465","display_name":"Cancer, Lipids, and Metabolism","score":0.9176999926567078,"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/cytotoxicity","display_name":"Cytotoxicity","score":0.8665965795516968},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8035948276519775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5854659676551819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5827178359031677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.538243293762207},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.534652590751648},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.17759791016578674},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11019715666770935},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.0590662956237793},{"id":"https://openalex.org/keywords/in-vitro","display_name":"In vitro","score":0.058572351932525635}],"concepts":[{"id":"https://openalex.org/C109316439","wikidata":"https://www.wikidata.org/wiki/Q246181","display_name":"Cytotoxicity","level":3,"score":0.8665965795516968},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8035948276519775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5854659676551819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5827178359031677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.538243293762207},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.534652590751648},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.17759791016578674},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11019715666770935},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0590662956237793},{"id":"https://openalex.org/C202751555","wikidata":"https://www.wikidata.org/wiki/Q221681","display_name":"In vitro","level":2,"score":0.058572351932525635},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3233547.3233630","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3233547.3233630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W1994493759"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,39],"propose":[4],"new":[5],"methods":[6,32],"to":[7,51],"make":[8],"the":[9,41,53],"rankings":[10],"of":[11,44,49],"candidates":[12],"for":[13],"p53":[14],"inhibitors,":[15],"considering":[16],"both":[17],"radioprotective":[18,47],"function":[19,48],"and":[20,33,46],"cytotoxicity.":[21],"We":[22],"use":[23],"features":[24],"about":[25],"compound's":[26],"structure":[27],"including":[28],"fingerprints,":[29],"machine":[30],"learning":[31],"ranking":[34],"methods.":[35],"As":[36],"a":[37],"result,":[38],"presented":[40],"regression":[42],"models":[43],"cytotoxicity":[45],"them":[50],"determine":[52],"rankings.":[54]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
