{"id":"https://openalex.org/W4404228904","doi":"https://doi.org/10.1186/s12859-024-05974-5","title":"DeepBP: Ensemble deep learning strategy for bioactive peptide prediction","display_name":"DeepBP: Ensemble deep learning strategy for bioactive peptide prediction","publication_year":2024,"publication_date":"2024-11-11","ids":{"openalex":"https://openalex.org/W4404228904","doi":"https://doi.org/10.1186/s12859-024-05974-5","pmid":"https://pubmed.ncbi.nlm.nih.gov/39528950"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-024-05974-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05974-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05974-5","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/s12859-024-05974-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114804053","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0002-6217-2882"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, 666 Changhui Road, Zhenjiang, 212100, China. zhangming@just.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, 666 Changhui Road, Zhenjiang, 212100, China. zhangming@just.edu.cn","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianren Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianren Zhou","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, 666 Changhui Road, Zhenjiang, 212100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, 666 Changhui Road, Zhenjiang, 212100, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438585","display_name":"Xiaohua Wang","orcid":"https://orcid.org/0000-0002-6410-2319"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Wang","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, 666 Changhui Road, Zhenjiang, 212100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, 666 Changhui Road, Zhenjiang, 212100, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106406563","display_name":"Xun Wang","orcid":"https://orcid.org/0000-0001-5566-4689"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Wang","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, 666 Changhui Road, Zhenjiang, 212100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, 666 Changhui Road, Zhenjiang, 212100, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059460328","display_name":"Fang Ge","orcid":"https://orcid.org/0000-0001-5792-5379"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Ge","raw_affiliation_strings":["State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing, 210023, China. gfang0616@njupt.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing, 210023, China. gfang0616@njupt.edu.cn","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059460328","https://openalex.org/A5114804053"],"corresponding_institution_ids":["https://openalex.org/I41198531","https://openalex.org/I4210096899"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":3.0719,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92691991,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"25","issue":"1","first_page":"352","last_page":"352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.7871999740600586,"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":0.7871999740600586,"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/T11561","display_name":"Protein Hydrolysis and Bioactive Peptides","score":0.07909999787807465,"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/T11103","display_name":"Antimicrobial Peptides and Activities","score":0.03350000083446503,"subfield":{"id":"https://openalex.org/subfields/2404","display_name":"Microbiology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5964891314506531},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5891128182411194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.545101523399353},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.5112879276275635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5056865215301514},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5030307173728943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4473428726196289},{"id":"https://openalex.org/keywords/peptide","display_name":"Peptide","score":0.4343366324901581},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3336179256439209},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3289499282836914},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.15995648503303528},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.14013394713401794},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.11910590529441833},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.1099226176738739}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5964891314506531},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5891128182411194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.545101523399353},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.5112879276275635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5056865215301514},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5030307173728943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4473428726196289},{"id":"https://openalex.org/C2779281246","wikidata":"https://www.wikidata.org/wiki/Q172847","display_name":"Peptide","level":2,"score":0.4343366324901581},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3336179256439209},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3289499282836914},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.15995648503303528},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.14013394713401794},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.11910590529441833},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.1099226176738739}],"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":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000806","descriptor_name":"Angiotensin-Converting Enzyme Inhibitors","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000806","descriptor_name":"Angiotensin-Converting Enzyme Inhibitors","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000806","descriptor_name":"Angiotensin-Converting Enzyme Inhibitors","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000806","descriptor_name":"Angiotensin-Converting Enzyme Inhibitors","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000806","descriptor_name":"Angiotensin-Converting Enzyme Inhibitors","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D000806","descriptor_name":"Angiotensin-Converting Enzyme Inhibitors","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D000806","descriptor_name":"Angiotensin-Converting Enzyme Inhibitors","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D000806","descriptor_name":"Angiotensin-Converting Enzyme Inhibitors","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":false},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":false},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":false},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":false},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"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},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-024-05974-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05974-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05974-5","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:39528950","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39528950","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:11556071","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11556071","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11556071/pdf/12859_2024_Article_5974.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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:7a51180796ac4e68a040b35534c83087","is_oa":true,"landing_page_url":"https://doaj.org/article/7a51180796ac4e68a040b35534c83087","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 25, Iss 1, Pp 1-19 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-024-05974-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05974-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05974-5","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2869694342","display_name":null,"funder_award_id":"NY223062","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"}],"funders":[{"id":"https://openalex.org/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404228904.pdf","grobid_xml":"https://content.openalex.org/works/W4404228904.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1974011730","https://openalex.org/W1981276685","https://openalex.org/W2083527527","https://openalex.org/W2097834518","https://openalex.org/W2152869198","https://openalex.org/W2253429366","https://openalex.org/W2516310076","https://openalex.org/W2794956775","https://openalex.org/W2884585870","https://openalex.org/W2944959957","https://openalex.org/W2963143796","https://openalex.org/W2963608065","https://openalex.org/W2965481041","https://openalex.org/W2970602317","https://openalex.org/W3003703043","https://openalex.org/W3025501158","https://openalex.org/W3100174574","https://openalex.org/W3111392271","https://openalex.org/W3112292322","https://openalex.org/W3140854437","https://openalex.org/W3165216240","https://openalex.org/W3186424845","https://openalex.org/W3203053846","https://openalex.org/W3216625938","https://openalex.org/W4200199004","https://openalex.org/W4281936363","https://openalex.org/W4297229820","https://openalex.org/W4303671988","https://openalex.org/W4309718009","https://openalex.org/W4321497201","https://openalex.org/W4324030730","https://openalex.org/W4367043522","https://openalex.org/W4381429239","https://openalex.org/W4385814218","https://openalex.org/W4385997203","https://openalex.org/W4386747390","https://openalex.org/W4387490283","https://openalex.org/W4389085025","https://openalex.org/W4390511653","https://openalex.org/W4390908043","https://openalex.org/W4391774628","https://openalex.org/W4392058232","https://openalex.org/W4393374578","https://openalex.org/W4396663720","https://openalex.org/W4396765902","https://openalex.org/W4400212876","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W1526195401","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W3124943098","https://openalex.org/W4308112567","https://openalex.org/W3162132941"],"abstract_inverted_index":{"BACKGROUND:":[0],"Bioactive":[1],"peptides":[2,37,107,112,141,291],"are":[3,240,324],"important":[4],"bioactive":[5,36],"molecules":[6],"composed":[7],"of":[8,186,248,279],"short-chain":[9],"amino":[10],"acids":[11],"that":[12,193],"play":[13],"various":[14],"crucial":[15],"roles":[16],"in":[17,42,276],"the":[18,102,110,127,138,159,163,168,176,187,195,200,205,213,216,221,224,230,246,249,277],"body,":[19],"such":[20],"as":[21,84,263],"regulating":[22],"physiological":[23],"processes":[24],"and":[25,29,47,63,79,109,142,155,212,229,258,297,301,305,319],"promoting":[26],"immune":[27],"responses":[28],"antibacterial":[30],"effects.":[31],"Due":[32],"to":[33,57,87,175,242,266,289],"their":[34,52,180],"significance,":[35],"have":[38],"broad":[39],"application":[40],"potential":[41],"drug":[43,61],"development,":[44],"food":[45],"science,":[46],"biotechnology.":[48],"Among":[49],"them,":[50],"understanding":[51],"biological":[53],"mechanisms":[54],"will":[55],"contribute":[56],"new":[58],"ideas":[59],"for":[60,137,311,321],"discovery":[62],"disease":[64],"treatment.":[65],"RESULTS:":[66],"This":[67],"study":[68],"employs":[69],"generative":[70],"adversarial":[71],"capsule":[72],"networks":[73,82],"(CapsuleGAN),":[74],"gated":[75],"recurrent":[76],"units":[77],"(GRU),":[78],"convolutional":[80],"neural":[81],"(CNN)":[83],"base":[85,264],"classifiers":[86,265],"achieve":[88],"ensemble":[89,268],"learning":[90,152],"through":[91],"voting":[92,169],"methods,":[93,244],"which":[94,270],"not":[95,271],"only":[96,272],"obtains":[97],"high-precision":[98],"prediction":[99,181,278],"results":[100,191,236,275],"on":[101,179,194,220,237],"angiotensin-converting":[103],"enzyme":[104],"(ACE)":[105],"inhibitory":[106,140,197,295],"dataset":[108,114,320],"anticancer":[111],"(ACP)":[113],"but":[115,282],"also":[116,283],"demonstrates":[117],"effective":[118],"model":[119,160],"performance.":[120,189],"For":[121],"this":[122,254,306,322],"method,":[123],"we":[124,148],"first":[125],"utilized":[126],"protein":[128],"language":[129],"model-evolutionary":[130],"scale":[131],"modeling":[132],"(ESM-2)-to":[133],"extract":[134],"relevant":[135],"features":[136],"ACE":[139,196,294],"ACP":[143,222],"datasets.":[144],"Following":[145],"feature":[146],"extraction,":[147],"trained":[149],"three":[150],"deep":[151],"models-CapsuleGAN,":[153],"GRU,":[154,257],"CNN-while":[156],"continuously":[157],"adjusting":[158],"parameters":[161],"throughout":[162],"training":[164],"process.":[165],"Finally,":[166],"during":[167],"stage,":[170],"different":[171],"weights":[172],"were":[173,260],"assigned":[174],"models":[177],"based":[178],"accuracy,":[182],"allowing":[183],"full":[184],"utilization":[185],"model's":[188],"Experimental":[190],"show":[192],"peptide":[198],"dataset,":[199,223],"balanced":[201],"accuracy":[202,225],"is":[203,210,218,227,232,303],"0.926,":[204],"Matthews":[206],"correlation":[207],"coefficient":[208],"(MCC)":[209],"0.831,":[211],"area":[214],"under":[215],"curve":[217],"0.966;":[219],"(ACC)":[226],"0.779,":[228],"MCC":[231],"0.558.":[233],"The":[234,287,316],"experimental":[235,250],"both":[238],"datasets":[239,281],"superior":[241],"existing":[243,285],"demonstrating":[245],"effectiveness":[247],"approach.":[251],"CONCLUSION:":[252],"In":[253],"study,":[255],"CapsuleGAN,":[256],"CNN":[259],"successfully":[261],"employed":[262],"implement":[267],"learning,":[269],"achieved":[273],"good":[274],"two":[280],"surpassed":[284],"methods.":[286],"ability":[288],"predict":[290],"with":[292],"strong":[293],"activity":[296],"ACPs":[298],"more":[299],"accurately":[300],"quickly":[302],"significant,":[304],"work":[307],"provides":[308],"valuable":[309],"insights":[310],"predicting":[312],"other":[313],"functional":[314],"peptides.":[315],"source":[317],"code":[318],"experiment":[323],"publicly":[325],"available":[326],"at":[327],"https://github.com/Zhou-Jianren/bioactive-peptides":[328],".":[329]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}