{"id":"https://openalex.org/W2806146459","doi":"https://doi.org/10.1093/bioinformatics/bty451","title":"ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides","display_name":"ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides","publication_year":2018,"publication_date":"2018-05-29","ids":{"openalex":"https://openalex.org/W2806146459","doi":"https://doi.org/10.1093/bioinformatics/bty451","mag":"2806146459","pmid":"https://pubmed.ncbi.nlm.nih.gov/29868903","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/6247924"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty451","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/34/23/4007/26676717/bty451.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311647","https://openalex.org/P4310311648"],"host_organization_lineage_names":["University of Oxford","Oxford University Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bioinformatics/article-pdf/34/23/4007/26676717/bty451.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033232360","display_name":"Leyi Wei","orcid":"https://orcid.org/0000-0003-1444-190X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"funder","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Leyi Wei","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056978571","display_name":"Chen Zhou","orcid":"https://orcid.org/0000-0003-3529-4283"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhou","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069415401","display_name":"Huangrong Chen","orcid":null},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huangrong Chen","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012709797","display_name":"Jiangning Song","orcid":"https://orcid.org/0000-0001-8031-9086"},"institutions":[{"id":"https://openalex.org/I2799424032","display_name":"Discovery Institute","ror":"https://ror.org/05t8s3y29","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799424032"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"funder","lineage":["https://openalex.org/I56590836"]}],"countries":["AU","US"],"is_corresponding":true,"raw_author_name":"Jiangning Song","raw_affiliation_strings":["Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology","Monash Centre for Data Science, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia"],"affiliations":[{"raw_affiliation_string":"Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology","institution_ids":["https://openalex.org/I2799424032"]},{"raw_affiliation_string":"Monash Centre for Data Science, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044939301","display_name":"Ran Su","orcid":"https://orcid.org/0000-0001-5922-0364"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"funder","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"funder","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ran Su","raw_affiliation_strings":["School of Computer Software, Tianjin University, Tianjin, China","State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Software, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033232360","https://openalex.org/A5012709797","https://openalex.org/A5044939301"],"corresponding_institution_ids":["https://openalex.org/I205237279","https://openalex.org/I2799424032","https://openalex.org/I56590836","https://openalex.org/I162868743","https://openalex.org/I205237279"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":16.55,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":389,"citation_normalized_percentile":{"value":0.999984,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"34","issue":"23","first_page":"4007","last_page":"4016"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9996,"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":0.9996,"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":0.9976,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9968,"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/discriminative-model","display_name":"Discriminative model","score":0.84017956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6733792},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.61805016},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature Learning","score":0.5800849},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4969764},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4243605},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.42161718}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.84017956},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7440556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377372},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6733792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61924016},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.61805016},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5800849},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4969764},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49298927},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45469844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44053742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42931816},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4243605},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42161718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32318524},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07820442},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty451","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/34/23/4007/26676717/bty451.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311647","https://openalex.org/P4310311648"],"host_organization_lineage_names":["University of Oxford","Oxford University Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc6247924","pdf_url":"https://europepmc.org/articles/pmc6247924?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["European Bioinformatics Institute"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247924","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29868903","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty451","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/34/23/4007/26676717/bty451.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311647","https://openalex.org/P4310311648"],"host_organization_lineage_names":["University of Oxford","Oxford University Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"grants":[{"funder":"https://openalex.org/F4320320971","funder_display_name":"Monash University","award_id":null},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61702361"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61701340"},{"funder":"https://openalex.org/F4320327018","funder_display_name":"State Key Laboratory of Medicinal Chemical Biology","award_id":null},{"funder":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health","award_id":"R01 AI111965"},{"funder":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council","award_id":null},{"funder":"https://openalex.org/F4320337355","funder_display_name":"National Institute of Allergy and Infectious Diseases","award_id":null},{"funder":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences","award_id":"DP120104460"},{"funder":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences","award_id":"LP110200333"}],"datasets":[],"versions":[],"referenced_works_count":32,"referenced_works":["https://openalex.org/W1979538859","https://openalex.org/W1981989535","https://openalex.org/W1995757481","https://openalex.org/W2000299206","https://openalex.org/W2001088761","https://openalex.org/W2025609725","https://openalex.org/W2040474274","https://openalex.org/W2040935952","https://openalex.org/W2042084565","https://openalex.org/W2042619042","https://openalex.org/W2072026441","https://openalex.org/W2074196504","https://openalex.org/W2099153308","https://openalex.org/W2103567156","https://openalex.org/W2108728387","https://openalex.org/W2118911320","https://openalex.org/W2124016062","https://openalex.org/W2131987814","https://openalex.org/W2152800101","https://openalex.org/W2153099927","https://openalex.org/W2154053567","https://openalex.org/W2156125289","https://openalex.org/W2158734599","https://openalex.org/W2161817637","https://openalex.org/W2340970647","https://openalex.org/W2416042752","https://openalex.org/W2548536600","https://openalex.org/W2588614855","https://openalex.org/W2608969085","https://openalex.org/W2609814551","https://openalex.org/W2766725728","https://openalex.org/W2954364924"],"related_works":["https://openalex.org/W4388405611","https://openalex.org/W3208297503","https://openalex.org/W3131501806","https://openalex.org/W3119773509","https://openalex.org/W2964117661","https://openalex.org/W2889153461","https://openalex.org/W2786094008","https://openalex.org/W2619127353","https://openalex.org/W2050960118","https://openalex.org/W156213964"],"abstract_inverted_index":{"Abstract":[0],"Motivation":[1],"Anti-cancer":[2],"peptides":[3],"(ACPs)":[4],"have":[5],"recently":[6],"emerged":[7],"as":[8],"promising":[9],"therapeutic":[10],"agents":[11],"for":[12,73,151,168],"cancer":[13],"treatment.":[14],"Due":[15],"to":[16,32,37],"the":[17,24,47,120,132,152,164,177,180],"avalanche":[18],"of":[19,43,50,76,101,107,124,179,199],"protein":[20],"sequence":[21,80],"data":[22,125,208],"in":[23,144],"post-genomic":[25],"era,":[26],"there":[27],"is":[28,127,201],"an":[29,86],"urgent":[30],"need":[31],"develop":[33,85],"automated":[34],"computational":[35],"methods":[36],"enable":[38],"fast":[39],"and":[40,53,97,195],"accurate":[41,74],"identification":[42],"novel":[44,62],"ACPs":[45,77,170],"within":[46],"vast":[48],"number":[49],"candidate":[51],"proteins":[52],"peptides.":[54],"Results":[55],"To":[56,130],"address":[57],"this,":[58],"we":[59,84,94,135],"propose":[60],"a":[61,99,105,138,145],"predictor":[63],"named":[64],"Anti-Cancer":[65],"peptide":[66,154],"Predictor":[67],"with":[68,92],"Feature":[69],"representation":[70,89,183],"Learning":[71],"(ACPred-FL)":[72],"prediction":[75],"based":[78],"on":[79],"information.":[81],"More":[82],"specifically,":[83],"effective":[87],"feature":[88,115,133,140,149,174,182],"learning":[90,184],"model,":[91],"which":[93],"can":[95],"extract":[96],"learn":[98],"set":[100],"informative":[102,147],"features":[103,162],"from":[104],"pool":[106],"support":[108],"vector":[109,150],"machine-based":[110],"models":[111],"trained":[112],"using":[113],"sequence-based":[114],"descriptors.":[116],"By":[117],"doing":[118],"so,":[119],"class":[121],"label":[122],"information":[123,206],"samples":[126],"fully":[128],"utilized.":[129],"improve":[131],"representation,":[134],"further":[136],"employ":[137],"two-step":[139],"selection":[141],"technique,":[142],"resulting":[143],"most":[146,165],"five-dimensional":[148],"final":[153],"representation.":[155],"Experimental":[156],"results":[157],"show":[158],"that":[159],"such":[160],"five":[161],"provide":[163],"discriminative":[166],"power":[167],"identifying":[169],"than":[171],"currently":[172],"available":[173,202,210],"descriptors,":[175],"highlighting":[176],"effectiveness":[178],"proposed":[181],"approach.":[185],"The":[186,197],"developed":[187],"ACPred-FL":[188,200],"method":[189],"significantly":[190],"outperforms":[191],"state-of-the-art":[192],"methods.":[193],"Availability":[194],"implementation":[196],"web-server":[198],"at":[203,211],"http://server.malab.cn/ACPred-FL.":[204],"Supplementary":[205,207],"are":[209],"Bioinformatics":[212],"online.":[213]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2806146459","counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":54},{"year":2023,"cited_by_count":59},{"year":2022,"cited_by_count":73},{"year":2021,"cited_by_count":77},{"year":2020,"cited_by_count":57},{"year":2019,"cited_by_count":42},{"year":2018,"cited_by_count":13}],"updated_date":"2025-05-02T06:07:53.546008","created_date":"2018-06-13"}