{"id":"https://openalex.org/W3186261494","doi":"https://doi.org/10.1021/acs.jcim.1c00181","title":"xDeep-AcPEP: Deep Learning Method for Anticancer Peptide Activity Prediction Based on Convolutional Neural Network and Multitask Learning","display_name":"xDeep-AcPEP: Deep Learning Method for Anticancer Peptide Activity Prediction Based on Convolutional Neural Network and Multitask Learning","publication_year":2021,"publication_date":"2021-07-30","ids":{"openalex":"https://openalex.org/W3186261494","doi":"https://doi.org/10.1021/acs.jcim.1c00181","mag":"3186261494","pmid":"https://pubmed.ncbi.nlm.nih.gov/34327990"},"language":"en","primary_location":{"id":"doi:10.1021/acs.jcim.1c00181","is_oa":true,"landing_page_url":"https://doi.org/10.1021/acs.jcim.1c00181","pdf_url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.1c00181","source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.1c00181","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100668320","display_name":"Jiarui Chen","orcid":"https://orcid.org/0000-0002-8301-1703"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jiarui Chen","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091365631","display_name":"Hong Hin Cheong","orcid":null},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Hong Hin Cheong","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102848446","display_name":"Shirley W. I. Siu","orcid":"https://orcid.org/0000-0002-3695-7758"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]},{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO","MY"],"is_corresponding":true,"raw_author_name":"Shirley W. I. Siu","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China","School of Pharmaceutical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-3695-7758","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"School of Pharmaceutical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102848446"],"corresponding_institution_ids":["https://openalex.org/I139322472","https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":5.6252,"has_fulltext":false,"cited_by_count":112,"citation_normalized_percentile":{"value":0.97404272,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"61","issue":"8","first_page":"3789","last_page":"3803"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9994000196456909,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9988999962806702,"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/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7369694113731384},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6873644590377808},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6797247529029846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6790972352027893},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5582192540168762},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5011005401611328},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4369957745075226},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42602819204330444},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11585870385169983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10520651936531067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7369694113731384},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6873644590377808},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6797247529029846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6790972352027893},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5582192540168762},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5011005401611328},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4369957745075226},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42602819204330444},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11585870385169983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10520651936531067}],"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":"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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1021/acs.jcim.1c00181","is_oa":true,"landing_page_url":"https://doi.org/10.1021/acs.jcim.1c00181","pdf_url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.1c00181","source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:34327990","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34327990","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of chemical information and modeling","raw_type":null}],"best_oa_location":{"id":"doi:10.1021/acs.jcim.1c00181","is_oa":true,"landing_page_url":"https://doi.org/10.1021/acs.jcim.1c00181","pdf_url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.1c00181","source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G5295748769","display_name":null,"funder_award_id":"MYRG2019-00098-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G5932926729","display_name":null,"funder_award_id":"MYRG2017-00146-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3186261494.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1571439140","https://openalex.org/W1964124955","https://openalex.org/W1995757481","https://openalex.org/W1999212541","https://openalex.org/W2003204068","https://openalex.org/W2023028104","https://openalex.org/W2024213882","https://openalex.org/W2032671559","https://openalex.org/W2035991583","https://openalex.org/W2038873127","https://openalex.org/W2042619042","https://openalex.org/W2043338013","https://openalex.org/W2054229004","https://openalex.org/W2058220696","https://openalex.org/W2074196504","https://openalex.org/W2089578131","https://openalex.org/W2099153308","https://openalex.org/W2118911320","https://openalex.org/W2120203321","https://openalex.org/W2126574516","https://openalex.org/W2145957695","https://openalex.org/W2153099927","https://openalex.org/W2156125289","https://openalex.org/W2163551613","https://openalex.org/W2295107390","https://openalex.org/W2340970647","https://openalex.org/W2416042752","https://openalex.org/W2482526777","https://openalex.org/W2520801049","https://openalex.org/W2548536600","https://openalex.org/W2591017015","https://openalex.org/W2747758005","https://openalex.org/W2770592019","https://openalex.org/W2780540385","https://openalex.org/W2789330875","https://openalex.org/W2793168264","https://openalex.org/W2806146459","https://openalex.org/W2807001312","https://openalex.org/W2895420596","https://openalex.org/W2914181850","https://openalex.org/W2917837889","https://openalex.org/W2920054351","https://openalex.org/W2934422573","https://openalex.org/W2936599975","https://openalex.org/W2943935116","https://openalex.org/W2945375732","https://openalex.org/W2945669687","https://openalex.org/W2962858109","https://openalex.org/W2965679756","https://openalex.org/W2965899920","https://openalex.org/W2971874382","https://openalex.org/W2987660980","https://openalex.org/W2994778693","https://openalex.org/W3025501158","https://openalex.org/W3044216590","https://openalex.org/W3048869844","https://openalex.org/W3082709982","https://openalex.org/W3091352107","https://openalex.org/W3092406486","https://openalex.org/W3093687066"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Cancer":[0],"is":[1,224],"one":[2],"of":[3,7,130,135,141,153,165,174],"the":[4,112,116,120,151,157,160,171,175,203,206],"leading":[5],"causes":[6],"death":[8],"worldwide.":[9],"Conventional":[10],"cancer":[11,33],"treatment":[12],"relies":[13],"on":[14,66],"radiotherapy":[15],"and":[16,53,77,89,137,205],"chemotherapy,":[17],"but":[18,35],"both":[19],"methods":[20],"bring":[21],"severe":[22],"side":[23],"effects":[24],"to":[25,70,159,181,186,218],"patients,":[26],"as":[27,47,182],"these":[28],"therapies":[29],"not":[30],"only":[31],"attack":[32],"cells":[34],"also":[36],"damage":[37],"normal":[38],"cells.":[39,57],"Anticancer":[40],"peptides":[41],"(ACPs)":[42],"are":[43,51],"a":[44,61,144],"promising":[45],"alternative":[46],"therapeutic":[48,195],"agents":[49],"that":[50,93],"efficient":[52],"selective":[54],"against":[55,79],"tumor":[56,81],"Here,":[58],"we":[59,149],"propose":[60],"deep":[62],"learning":[63,98],"method":[64,223],"based":[65],"convolutional":[67,172],"neural":[68],"networks":[69],"predict":[71],"biological":[72],"activity":[73,162],"(EC50,":[74],"LC50,":[75],"IC50,":[76],"LD50)":[78],"six":[80],"cells,":[82],"including":[83],"breast,":[84],"colon,":[85],"cervix,":[86],"lung,":[87],"skin,":[88],"prostate.":[90],"We":[91],"show":[92],"models":[94,118,209],"derived":[95,169],"with":[96,119],"multitask":[97],"achieve":[99],"better":[100],"performance":[101],"than":[102],"conventional":[103],"single-task":[104],"models.":[105],"In":[106],"repeated":[107],"5-fold":[108],"cross":[109],"validation":[110],"using":[111],"CancerPPD":[113],"data":[114],"set,":[115],"best":[117],"applicability":[121],"domain":[122],"defined":[123],"obtain":[124],"an":[125],"average":[126],"mean":[127],"squared":[128],"error":[129],"0.1758,":[131],"Pearson's":[132],"correlation":[133,139],"coefficient":[134,140],"0.8086,":[136],"Kendall's":[138],"0.6156.":[142],"As":[143],"step":[145],"toward":[146],"model":[147],"interpretability,":[148],"infer":[150],"contribution":[152],"each":[154],"residue":[155],"in":[156,190],"sequence":[158],"predicted":[161],"by":[163],"means":[164],"feature":[166],"importance":[167],"weights":[168],"from":[170,213],"layers":[173],"model.":[176],"The":[177,197,215],"present":[178],"method,":[179],"referred":[180],"xDeep-AcPEP,":[183],"will":[184],"help":[185],"identify":[187],"effective":[188],"ACPs":[189],"rational":[191],"peptide":[192],"design":[193],"for":[194,201],"purposes.":[196],"data,":[198],"script":[199],"files":[200],"reproducing":[202],"experiments,":[204],"final":[207],"prediction":[208,222],"can":[210],"be":[211],"downloaded":[212],"http://github.com/chen709847237/xDeep-AcPEP.":[214],"web":[216],"server":[217],"directly":[219],"access":[220],"this":[221],"at":[225],"https://app.cbbio.online/acpep/home.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":21}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}