{"id":"https://openalex.org/W4320912765","doi":"https://doi.org/10.1186/s12859-023-05181-8","title":"DRaW: prediction of COVID-19 antivirals by deep learning\u2014an objection on using matrix factorization","display_name":"DRaW: prediction of COVID-19 antivirals by deep learning\u2014an objection on using matrix factorization","publication_year":2023,"publication_date":"2023-02-15","ids":{"openalex":"https://openalex.org/W4320912765","doi":"https://doi.org/10.1186/s12859-023-05181-8","pmid":"https://pubmed.ncbi.nlm.nih.gov/36793010"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-023-05181-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05181-8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05181-8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05181-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048471629","display_name":"Seyyed Morteza Hashemi","orcid":"https://orcid.org/0000-0003-1606-196X"},"institutions":[{"id":"https://openalex.org/I161028277","display_name":"Institute for Advanced Studies in Basic Sciences","ror":"https://ror.org/00bzsst90","country_code":"IR","type":"education","lineage":["https://openalex.org/I161028277"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"S. Morteza Hashemi","raw_affiliation_strings":["Department of Computer Science and Information Technology, Institute of Advanced Studies in Basic Sciences, Zanjan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, Institute of Advanced Studies in Basic Sciences, Zanjan, Iran","institution_ids":["https://openalex.org/I161028277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025848713","display_name":"Arash Zabihian","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Arash Zabihian","raw_affiliation_strings":["Department of Bioinformatics, Kish International Campus, University of Tehran, Kish, Iran","Laboratory of Bioinformatics and Drug Design, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioinformatics, Kish International Campus, University of Tehran, Kish, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"Laboratory of Bioinformatics and Drug Design, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027344062","display_name":"Mohsen Hooshmand","orcid":"https://orcid.org/0000-0002-2934-2675"},"institutions":[{"id":"https://openalex.org/I161028277","display_name":"Institute for Advanced Studies in Basic Sciences","ror":"https://ror.org/00bzsst90","country_code":"IR","type":"education","lineage":["https://openalex.org/I161028277"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohsen Hooshmand","raw_affiliation_strings":["Department of Computer Science and Information Technology, Institute of Advanced Studies in Basic Sciences, Zanjan, Iran. mohsen.hooshmand@iasbs.ac.ir","Department of Computer Science and Information Technology, Institute of Advanced Studies in Basic Sciences, Zanjan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, Institute of Advanced Studies in Basic Sciences, Zanjan, Iran. mohsen.hooshmand@iasbs.ac.ir","institution_ids":["https://openalex.org/I161028277"]},{"raw_affiliation_string":"Department of Computer Science and Information Technology, Institute of Advanced Studies in Basic Sciences, Zanjan, Iran","institution_ids":["https://openalex.org/I161028277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068106181","display_name":"Sajjad Gharaghani","orcid":"https://orcid.org/0000-0001-5468-4258"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Sajjad Gharaghani","raw_affiliation_strings":["Laboratory of Bioinformatics and Drug Design, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Bioinformatics and Drug Design, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048471629"],"corresponding_institution_ids":["https://openalex.org/I161028277"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":3.4765,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93650212,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"24","issue":"1","first_page":"52","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.6248000264167786,"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":0.6248000264167786,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.0843999981880188,"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/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.03629999980330467,"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/matrix-decomposition","display_name":"Matrix decomposition","score":0.744335949420929},{"id":"https://openalex.org/keywords/drug-repositioning","display_name":"Drug repositioning","score":0.7209595441818237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.695220410823822},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6678017377853394},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.563168466091156},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.546195924282074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.535226047039032},{"id":"https://openalex.org/keywords/repurposing","display_name":"Repurposing","score":0.5239584445953369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4902699291706085},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4553338885307312},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4338894188404083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37860965728759766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20761579275131226},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.19189465045928955},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09524181485176086},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.08895277976989746},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08851468563079834}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.744335949420929},{"id":"https://openalex.org/C103637391","wikidata":"https://www.wikidata.org/wiki/Q5308921","display_name":"Drug repositioning","level":3,"score":0.7209595441818237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.695220410823822},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6678017377853394},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.563168466091156},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.546195924282074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.535226047039032},{"id":"https://openalex.org/C519536355","wikidata":"https://www.wikidata.org/wiki/Q21021151","display_name":"Repurposing","level":2,"score":0.5239584445953369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4902699291706085},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4553338885307312},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4338894188404083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37860965728759766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20761579275131226},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.19189465045928955},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09524181485176086},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.08895277976989746},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08851468563079834},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"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":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000998","descriptor_name":"Antiviral Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":false},{"descriptor_ui":"D000998","descriptor_name":"Antiviral Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":false},{"descriptor_ui":"D000998","descriptor_name":"Antiviral Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":false},{"descriptor_ui":"D000998","descriptor_name":"Antiviral Agents","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":false},{"descriptor_ui":"D000998","descriptor_name":"Antiviral Agents","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":false},{"descriptor_ui":"D000998","descriptor_name":"Antiviral Agents","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","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":"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}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-023-05181-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05181-8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05181-8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:36793010","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36793010","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9931173","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9931173","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9931173/pdf/12859_2023_Article_5181.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":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:ec07e90a9be442048a9132db522ab90e","is_oa":true,"landing_page_url":"https://doaj.org/article/ec07e90a9be442048a9132db522ab90e","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 24, Iss 1, Pp 1-21 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-023-05181-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05181-8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05181-8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4320912765.pdf"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1788811788","https://openalex.org/W2015642465","https://openalex.org/W2017204984","https://openalex.org/W2022732522","https://openalex.org/W2026265322","https://openalex.org/W2027144452","https://openalex.org/W2046422846","https://openalex.org/W2054331966","https://openalex.org/W2074473216","https://openalex.org/W2123688186","https://openalex.org/W2130479394","https://openalex.org/W2153838454","https://openalex.org/W2573312253","https://openalex.org/W2576544908","https://openalex.org/W2580767461","https://openalex.org/W2588262534","https://openalex.org/W2592742128","https://openalex.org/W2750900465","https://openalex.org/W2753953057","https://openalex.org/W2793951981","https://openalex.org/W2801438367","https://openalex.org/W2886660258","https://openalex.org/W2887766329","https://openalex.org/W2889321024","https://openalex.org/W2894112994","https://openalex.org/W2904742480","https://openalex.org/W2908901070","https://openalex.org/W3012994592","https://openalex.org/W3013943119","https://openalex.org/W3015296677","https://openalex.org/W3022435472","https://openalex.org/W3024262723","https://openalex.org/W3025103607","https://openalex.org/W3034111647","https://openalex.org/W3039994917","https://openalex.org/W3041467169","https://openalex.org/W3043379468","https://openalex.org/W3044739625","https://openalex.org/W3046615517","https://openalex.org/W3082246640","https://openalex.org/W3084117808","https://openalex.org/W3087156149","https://openalex.org/W3087212985","https://openalex.org/W3096999989","https://openalex.org/W3097145107","https://openalex.org/W3102648521","https://openalex.org/W3102822610","https://openalex.org/W3109916301","https://openalex.org/W3110211951","https://openalex.org/W3111810969","https://openalex.org/W3113075988","https://openalex.org/W3117861461","https://openalex.org/W3127559895","https://openalex.org/W3132460365","https://openalex.org/W3134827885","https://openalex.org/W3155792797","https://openalex.org/W3167571959","https://openalex.org/W3168033840","https://openalex.org/W3180359108","https://openalex.org/W3190049129","https://openalex.org/W3213361969","https://openalex.org/W4200144569","https://openalex.org/W4211005103","https://openalex.org/W4214499951","https://openalex.org/W4225483981"],"related_works":["https://openalex.org/W2899096130","https://openalex.org/W3190782215","https://openalex.org/W2902729297","https://openalex.org/W3110500039","https://openalex.org/W4255531208","https://openalex.org/W4320009247","https://openalex.org/W4206422705","https://openalex.org/W3186872001","https://openalex.org/W3174741986","https://openalex.org/W4389861022"],"abstract_inverted_index":{"BACKGROUND:":[0],"Due":[1],"to":[2,31,76,103,169],"the":[3,26,36,63,105,126,134,149,166,174,188,197],"high":[4],"resource":[5],"consumption":[6],"of":[7,107,190,196],"introducing":[8],"a":[9,71,94,122],"new":[10,33],"drug,":[11],"drug":[12,19],"repurposing":[13],"plays":[14],"an":[15,117,203],"essential":[16],"role":[17],"in":[18,47,173,187],"discovery.":[20],"To":[21],"do":[22],"this,":[23],"researchers":[24],"examine":[25],"current":[27],"drug-target":[28],"interaction":[29],"(DTI)":[30],"predict":[32,77],"interactions":[34],"for":[35,65,153],"approved":[37],"drugs.":[38,129],"Matrix":[39,177],"factorization":[40,60,91,141,172,178,214],"methods":[41,92,179,222],"have":[42],"much":[43],"attention":[44],"and":[45,93,142,193,215,226],"utilization":[46],"DTIs.":[48],"However,":[49],"they":[50],"suffer":[51,180],"from":[52,181],"some":[53,182],"drawbacks.":[54],"METHODS:":[55],"We":[56,84],"explain":[57],"why":[58],"matrix":[59,90,140,171,213],"is":[61],"not":[62,164],"best":[64,167],"DTI":[66,175],"prediction.":[67,176],"Then,":[68],"we":[69,109,120,159,201],"propose":[70,202],"deep":[72,95,143],"learning":[73],"model":[74,87,96],"(DRaW)":[75,206],"DTIs":[78],"without":[79],"having":[80],"input":[81],"data":[82],"leakage.":[83],"compare":[85],"our":[86],"with":[88],"several":[89],"on":[97,112,125,223],"three":[98,224],"COVID-19":[99,127,225],"datasets.":[100,114,229],"In":[101,131,156],"addition,":[102],"ensure":[104],"validation":[106],"DRaW,":[108],"evaluate":[110],"it":[111,162],"benchmark":[113,228],"Furthermore,":[115],"as":[116],"external":[118],"validation,":[119],"conduct":[121],"docking":[123,146],"study":[124],"recommended":[128,151],"RESULTS:":[130],"all":[132],"cases,":[133],"results":[135,147],"confirm":[136],"that":[137,161,207],"DRaW":[138],"outperforms":[139],"models.":[144],"The":[145],"approve":[148],"top-ranked":[150],"drugs":[152],"COVID-19.":[154],"CONCLUSIONS:":[155],"this":[157],"paper,":[158],"show":[160],"may":[163],"be":[165],"choice":[168],"use":[170],"intrinsic":[183],"issues,":[184],"e.g.,":[185],"sparsity":[186],"domain":[189],"bioinformatics":[191],"applications":[192],"fixed-unchanged":[194],"size":[195],"matrix-related":[198],"paradigm.":[199],"Therefore,":[200],"alternative":[204],"method":[205],"uses":[208],"feature":[209],"vectors":[210],"rather":[211],"than":[212,219],"demonstrates":[216],"better":[217],"performance":[218],"other":[220],"famous":[221],"four":[227]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
