{"id":"https://openalex.org/W7083014626","doi":"https://doi.org/10.1109/access.2025.3613332","title":"ACSMPred-FRL: Accelerating the Identification of Anticancer Small Molecules Using Feature Representation Learning","display_name":"ACSMPred-FRL: Accelerating the Identification of Anticancer Small Molecules Using Feature Representation Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7083014626","doi":"https://doi.org/10.1109/access.2025.3613332"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3613332","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3613332","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3613332","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Watshara Shoombuatong","orcid":"https://orcid.org/0000-0002-3394-8709"},"institutions":[{"id":"https://openalex.org/I25399158","display_name":"Mahidol University","ror":"https://ror.org/01znkr924","country_code":"TH","type":"education","lineage":["https://openalex.org/I25399158"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Watshara Shoombuatong","raw_affiliation_strings":["Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-3394-8709","affiliations":[{"raw_affiliation_string":"Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand","institution_ids":["https://openalex.org/I25399158"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nalini Schaduangrat","orcid":"https://orcid.org/0000-0002-0842-8277"},"institutions":[{"id":"https://openalex.org/I25399158","display_name":"Mahidol University","ror":"https://ror.org/01znkr924","country_code":"TH","type":"education","lineage":["https://openalex.org/I25399158"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nalini Schaduangrat","raw_affiliation_strings":["Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-0842-8277","affiliations":[{"raw_affiliation_string":"Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand","institution_ids":["https://openalex.org/I25399158"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lawankorn Mookdarsanit","orcid":null},"institutions":[{"id":"https://openalex.org/I95579309","display_name":"Chandrakasem Rajabhat University","ror":"https://ror.org/02g6rcz57","country_code":"TH","type":"education","lineage":["https://openalex.org/I95579309"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Lawankorn Mookdarsanit","raw_affiliation_strings":["Business Information System, Faculty of Management Science, Chandrakasem Rajabhat University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business Information System, Faculty of Management Science, Chandrakasem Rajabhat University, Bangkok, Thailand","institution_ids":["https://openalex.org/I95579309"]}]},{"author_position":"middle","author":{"id":null,"display_name":"S. M. Hasan Mahmud","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"S. M. Hasan Mahmud","raw_affiliation_strings":["Department of Software Engineering, Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kanthida Kusonmano","orcid":null},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kanthida Kusonmano","raw_affiliation_strings":["Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut&#x2019;s University of Technology Thonburi, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut&#x2019;s University of Technology Thonburi, Bangkok, Thailand","institution_ids":["https://openalex.org/I60837268"]}]},{"author_position":"last","author":{"id":null,"display_name":"Pakpoom Mookdarsanit","orcid":null},"institutions":[{"id":"https://openalex.org/I95579309","display_name":"Chandrakasem Rajabhat University","ror":"https://ror.org/02g6rcz57","country_code":"TH","type":"education","lineage":["https://openalex.org/I95579309"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pakpoom Mookdarsanit","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Faculty of Science, Chandrakasem Rajabhat University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Faculty of Science, Chandrakasem Rajabhat University, Bangkok, Thailand","institution_ids":["https://openalex.org/I95579309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.5175,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94241687,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"171902","last_page":"171915"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.647599995136261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.647599995136261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13067","display_name":"Geological Modeling and Analysis","score":0.027799999341368675,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.017999999225139618,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7305999994277954},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5964999794960022},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5963000059127808},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5501999855041504},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4945000112056732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4422999918460846},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.421099990606308},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.37459999322891235}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7305999994277954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.710099995136261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6717000007629395},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5964999794960022},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5963000059127808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5785999894142151},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5501999855041504},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4945000112056732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4422999918460846},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C164923092","wikidata":"https://www.wikidata.org/wiki/Q3705921","display_name":"Molecular descriptor","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2685000002384186},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C2983331546","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer therapy","level":3,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3613332","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3613332","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6ff5c61d82f94e11a563d6ba54067a71","is_oa":true,"landing_page_url":"https://doaj.org/article/6ff5c61d82f94e11a563d6ba54067a71","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":"IEEE Access, Vol 13, Pp 171902-171915 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3613332","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3613332","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6128693222999573}],"awards":[{"id":"https://openalex.org/G4848340942","display_name":null,"funder_award_id":"N42A660380","funder_id":"https://openalex.org/F4320322401","funder_display_name":"Mahidol University"}],"funders":[{"id":"https://openalex.org/F4320322401","display_name":"Mahidol University","ror":"https://ror.org/01znkr924"},{"id":"https://openalex.org/F4320322817","display_name":"National Research Council of Thailand","ror":"https://ror.org/018wfhg78"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1253096047","https://openalex.org/W1972156862","https://openalex.org/W1988037271","https://openalex.org/W2000028953","https://openalex.org/W2021748110","https://openalex.org/W2042619042","https://openalex.org/W2092723276","https://openalex.org/W2107081909","https://openalex.org/W2122825543","https://openalex.org/W2126051172","https://openalex.org/W2135046866","https://openalex.org/W2169302611","https://openalex.org/W2177317049","https://openalex.org/W2200017991","https://openalex.org/W2273267066","https://openalex.org/W2764219046","https://openalex.org/W2777416523","https://openalex.org/W2807953828","https://openalex.org/W2890166747","https://openalex.org/W2937307539","https://openalex.org/W2951747205","https://openalex.org/W2981541615","https://openalex.org/W2999580270","https://openalex.org/W3128618129","https://openalex.org/W3130727496","https://openalex.org/W3158979140","https://openalex.org/W3197516020","https://openalex.org/W4206662285","https://openalex.org/W4211219865","https://openalex.org/W4212959738","https://openalex.org/W4230927156","https://openalex.org/W4242372416","https://openalex.org/W4372354554","https://openalex.org/W4386156754","https://openalex.org/W4386928678","https://openalex.org/W4389305457","https://openalex.org/W4389452817","https://openalex.org/W4390264399","https://openalex.org/W4390621086","https://openalex.org/W4390946922","https://openalex.org/W4391530558","https://openalex.org/W4391680077","https://openalex.org/W4392098857","https://openalex.org/W4393345740","https://openalex.org/W4395110469","https://openalex.org/W4399564616","https://openalex.org/W4400914198","https://openalex.org/W4401862872","https://openalex.org/W4403432897","https://openalex.org/W4403601603","https://openalex.org/W4404055298","https://openalex.org/W4405099064","https://openalex.org/W4405614575","https://openalex.org/W4406047447","https://openalex.org/W4407275481","https://openalex.org/W4409515477","https://openalex.org/W4410019280"],"related_works":[],"abstract_inverted_index":{"Anti-cancer":[0],"peptides":[1],"(ACPs)":[2],"have":[3,29],"recently":[4],"emerged":[5],"as":[6,157,248],"promising":[7],"therapeutic":[8],"agents":[9],"for":[10,48,160,254,278],"cancer":[11,21,264],"treatment.":[12,265],"Due":[13],"to":[14,18,131,145,174],"their":[15,261],"unique":[16],"ability":[17],"selectively":[19],"target":[20],"cells":[22],"without":[23,85],"directly":[24],"affecting":[25],"healthy":[26],"cells,":[27],"they":[28],"been":[30],"extensively":[31],"studied.":[32],"Meanwhile,":[33],"many":[34],"small":[35,58],"molecule":[36],"drugs":[37],"are":[38,275],"being":[39],"introduced":[40],"and":[41,45,54,63,79,115,129,172,181,203,222,234,251,269],"evaluated":[42],"in":[43,109,136,152,263,272],"preclinical":[44],"clinical":[46],"trials":[47],"anticancer":[49,57,86],"treatments.":[50],"However,":[51],"experimental":[52],"identification":[53,257],"characterization":[55],"of":[56,216,220,227,231,258],"molecules":[59],"(ACSMs)":[60],"remains":[61],"laborious":[62],"time-consuming.":[64],"In":[65,95],"this":[66,273],"study,":[67],"we":[68,97,242],"propose":[69],"an":[70,214],"innovative":[71],"computational":[72],"approach,":[73],"termed":[74],"ACSMPred-FRL,":[75,96],"that":[76,185,244],"can":[77],"accurately":[78],"rapidly":[80],"identify":[81],"compounds":[82],"with":[83,111],"or":[84],"activity":[87],"based":[88,122],"on":[89,123,207],"a":[90,218,223,249],"feature":[91,168],"representation":[92],"learning":[93,106],"scheme.":[94],"initially":[98],"constructed":[99],"442":[100,125,148],"base-classifiers":[101,126],"by":[102],"employing":[103],"13":[104],"machine":[105],"(ML)":[107],"algorithms":[108],"conjunction":[110],"14":[112],"molecular":[113,117],"descriptors":[114],"20":[116],"embeddings.":[118],"Next,":[119],"probabilistic":[120,149],"features":[121,150],"these":[124],"were":[127],"generated":[128],"combined":[130],"provide":[132],"multi-view":[133],"information":[134],"embedded":[135],"ACSMs.":[137],"Then,":[138],"principal":[139,154],"component":[140],"analysis":[141],"(PCA)":[142],"was":[143,170],"applied":[144],"process":[146],"the":[147,162,166,176,197,208,238,255],"resulting":[151],"42":[153],"components":[155],"used":[156,173,271],"input":[158],"vectors":[159],"developing":[161],"final":[163,177],"meta-classifier.":[164,178],"Finally,":[165],"optimal":[167],"subset":[169],"determined":[171],"train":[175],"Both":[179],"cross-validation":[180],"independent":[182,209],"tests":[183],"showed":[184],"ACSMPred-FRL":[186,212,245],"not":[187],"only":[188],"surpassed":[189],"several":[190],"conventional":[191],"ML-based":[192],"classifiers":[193],"but":[194],"also":[195],"outperformed":[196],"existing":[198,239],"method,":[199],"highlighting":[200],"its":[201],"effectiveness":[202],"predictive":[204],"capability.":[205],"Specifically,":[206],"test":[210],"dataset,":[211],"achieved":[213],"accuracy":[215],"0.834,":[217],"specificity":[219],"0.88,":[221],"Matthew\u2019s":[224],"correlation":[225],"coefficient":[226],"0.672,":[228],"representing":[229],"improvements":[230],"4.45,":[232],"4.70,":[233],"9.20%,":[235],"respectively,":[236],"over":[237],"method.":[240],"Therefore,":[241],"anticipate":[243],"will":[246],"serve":[247],"useful":[250],"reliable":[252],"tool":[253],"large-scale":[256],"ACSMs,":[259],"accelerating":[260],"application":[262],"The":[266],"source":[267],"code":[268],"datasets":[270],"study":[274],"publicly":[276],"available":[277],"reproducibility":[279],"at":[280],"https://github.com/lawankorn-m/ACSMPred-MVF.":[281]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
