{"id":"https://openalex.org/W7163575108","doi":"https://doi.org/10.1186/s12859-026-06516-x","title":"UniPTMs: a unified multi-type PTM site prediction model via master\u2013slave architecture-based multi-stage fusion strategy and hierarchical contrastive loss","display_name":"UniPTMs: a unified multi-type PTM site prediction model via master\u2013slave architecture-based multi-stage fusion strategy and hierarchical contrastive loss","publication_year":2026,"publication_date":"2026-06-04","ids":{"openalex":"https://openalex.org/W7163575108","doi":"https://doi.org/10.1186/s12859-026-06516-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/42243656"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-026-06516-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-026-06516-x","pdf_url":null,"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://doi.org/10.1186/s12859-026-06516-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041630277","display_name":"Ji Wu","orcid":"https://orcid.org/0000-0002-3417-635X"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Wu","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China"],"raw_orcid":"https://orcid.org/0009-0005-3572-3940","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109717723","display_name":"Yiyu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyu Lin","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China"],"raw_orcid":"https://orcid.org/0009-0000-8340-1704","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137911941","display_name":"Peng Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Shen","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135146768","display_name":"Lun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lun Zhu","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China. zl@cczu.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China. zl@cczu.edu.cn","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137832386","display_name":"Sen Yang","orcid":"https://orcid.org/0000-0003-4177-0653"},"institutions":[{"id":"https://openalex.org/I4210151861","display_name":"Changzhou No.2 People's Hospital","ror":"https://ror.org/04bkhy554","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210151861"]},{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Yang","raw_affiliation_strings":["Changzhou Second People's Hospital, The Third Affiliated Hospital of Nanjing Medical University, Changzhou Medical Center, Nanjing Medical University, Changzhou, 213003, China. ys@cczu.edu.cn","School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China. ys@cczu.edu.cn"],"raw_orcid":"https://orcid.org/0000-0003-4177-0653","affiliations":[{"raw_affiliation_string":"Changzhou Second People's Hospital, The Third Affiliated Hospital of Nanjing Medical University, Changzhou Medical Center, Nanjing Medical University, Changzhou, 213003, China. ys@cczu.edu.cn","institution_ids":["https://openalex.org/I4210151861"]},{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software, Changzhou University, Changzhou, 213164, China. ys@cczu.edu.cn","institution_ids":["https://openalex.org/I4210153482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5135146768","https://openalex.org/A5137832386"],"corresponding_institution_ids":["https://openalex.org/I4210151861","https://openalex.org/I4210153482"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50427438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.6917999982833862,"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":0.6917999982833862,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.14100000262260437,"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/T10044","display_name":"Protein Structure and Dynamics","score":0.03680000081658363,"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/feature","display_name":"Feature (linguistics)","score":0.6243000030517578},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5059999823570251},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4007999897003174},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3896999955177307},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.37610000371932983},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3582000136375427},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3522999882698059},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.350600004196167},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3440000116825104},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.3368000090122223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784600019454956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6243000030517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5730999708175659},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5059999823570251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44209998846054077},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3828999996185303},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3522999882698059},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3440000116825104},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.3368000090122223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C164614171","wikidata":"https://www.wikidata.org/wiki/Q5204775","display_name":"DECIPHER","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C74401373","wikidata":"https://www.wikidata.org/wiki/Q1829843","display_name":"Bromodomain","level":4,"score":0.26190000772476196},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2531999945640564}],"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":"D011499","descriptor_name":"Protein Processing, Post-Translational","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011499","descriptor_name":"Protein Processing, Post-Translational","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011499","descriptor_name":"Protein Processing, Post-Translational","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-026-06516-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-026-06516-x","pdf_url":null,"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:42243656","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42243656","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":"Journal Article"},{"id":"pmh:oai:doaj.org/article:daf51baf19ed470fb4c19fa67d9ec2a7","is_oa":false,"landing_page_url":"https://doaj.org/article/daf51baf19ed470fb4c19fa67d9ec2a7","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 27, Iss 1 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13312515","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13312515/","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_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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-026-06516-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-026-06516-x","pdf_url":null,"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":[{"score":0.48231518268585205,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G4938201727","display_name":null,"funder_award_id":"Grant No. 62502053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1832030339","https://openalex.org/W1998889146","https://openalex.org/W2064675550","https://openalex.org/W2080975591","https://openalex.org/W2103525038","https://openalex.org/W2124246726","https://openalex.org/W2571998636","https://openalex.org/W2752782242","https://openalex.org/W2907492528","https://openalex.org/W2941046634","https://openalex.org/W3020537178","https://openalex.org/W3034368386","https://openalex.org/W3040739508","https://openalex.org/W3095980151","https://openalex.org/W3127515140","https://openalex.org/W3132857558","https://openalex.org/W3152110994","https://openalex.org/W3159663509","https://openalex.org/W3172422681","https://openalex.org/W3177052299","https://openalex.org/W4206316880","https://openalex.org/W4220948476","https://openalex.org/W4281291878","https://openalex.org/W4283321869","https://openalex.org/W4283725351","https://openalex.org/W4285159613","https://openalex.org/W4286500588","https://openalex.org/W4293825785","https://openalex.org/W4297808394","https://openalex.org/W4298002012","https://openalex.org/W4298089175","https://openalex.org/W4307886463","https://openalex.org/W4324143928","https://openalex.org/W4327550240","https://openalex.org/W4372330285","https://openalex.org/W4377865076","https://openalex.org/W4387767260","https://openalex.org/W4388706355","https://openalex.org/W4389326242","https://openalex.org/W4390743770","https://openalex.org/W4391294264","https://openalex.org/W4391483046","https://openalex.org/W4392796915","https://openalex.org/W4394666973","https://openalex.org/W4394687440","https://openalex.org/W4395022355","https://openalex.org/W4396721167","https://openalex.org/W4400764901","https://openalex.org/W4401845440","https://openalex.org/W4402839475","https://openalex.org/W4403717981","https://openalex.org/W4404188113","https://openalex.org/W4404283799","https://openalex.org/W4406187918","https://openalex.org/W4406325023","https://openalex.org/W4407052080","https://openalex.org/W4407762319"],"related_works":[],"abstract_inverted_index":{"BACKGROUND:":[0],"As":[1],"a":[2,45,57,77,97,103,114,129,142,176,186,200,218],"core":[3],"mechanism":[4,134],"of":[5,27,69],"epigenetic":[6,225],"regulation":[7],"in":[8,32],"eukaryotes,":[9],"protein":[10,70],"post-translational":[11],"modifications":[12],"(PTMs)":[13],"require":[14],"precise":[15],"prediction":[16,197],"to":[17,135,174],"decipher":[18],"dynamic":[19,131,230],"life":[20,231],"activity":[21,232],"networks.":[22,233],"To":[23],"address":[24],"the":[25,62,83,126,195],"limitations":[26],"existing":[28],"deep":[29],"learning":[30],"models":[31,168],"cross-modal":[33],"feature":[34,87,111,122,149],"fusion,":[35],"domain":[36],"generalization,":[37],"and":[38,73,89,93,113,161,181,202,220,227],"architectural":[39],"optimization,":[40,151],"this":[41],"study":[42],"proposes":[43],"UniPTMs:":[44],"unified":[46,201],"framework":[47,54,127],"for":[48,108,148,206,223],"multi-type":[49,207],"PTM":[50,208],"prediction.":[51,209],"RESULTS:":[52],"The":[53],"innovatively":[55],"establishes":[56],"\"Master-Slave\"":[58],"dual-path":[59],"collaborative":[60],"architecture:":[61],"master":[63],"path":[64,85],"dynamically":[65],"integrates":[66],"high-dimensional":[67],"representations":[68],"sequences,":[71],"structures,":[72],"evolutionary":[74],"information":[75],"through":[76],"bidirectional":[78,115],"gated":[79,117],"cross-attention":[80],"module,":[81],"while":[82],"slave":[84],"optimizes":[86],"discrepancies":[88],"recalibration":[90],"between":[91,178],"structural":[92],"traditional":[94],"features":[95],"using":[96],"low-dimensional":[98],"fusion":[99,118,133],"network.":[100],"Complemented":[101],"by":[102,141],"multi-scale":[104],"adaptive":[105],"convolutional":[106],"pyramid":[107],"capturing":[109],"local":[110],"patterns":[112],"hierarchical":[116,130,144],"network":[119],"enabling":[120],"multi-level":[121],"integration":[123],"across":[124,169],"paths,":[125],"employs":[128],"weighting":[132],"intelligently":[136],"aggregate":[137],"multimodal":[138],"features.":[139],"Enhanced":[140],"novel":[143],"contrastive":[145],"loss":[146],"function":[147],"consistency":[150],"UniPTMs":[152,192],"demonstrates":[153],"significant":[154],"performance":[155],"improvements":[156],"(3.2-11.4%":[157],"Matthews":[158],"correlation":[159],"coefficient":[160],"4.2-14.3%":[162],"average":[163],"precision":[164],"increases)":[165],"over":[166],"state-of-the-art":[167],"five":[170],"modification":[171],"types.":[172],"Additionally,":[173],"strike":[175],"balance":[177],"model":[179],"complexity":[180],"performance,":[182],"we":[183],"have":[184],"developed":[185],"lightweight":[187,215],"variant":[188],"named":[189],"UniPTMs-mini.":[190],"CONCLUSIONS:":[191],"successfully":[193],"transcends":[194],"single-type":[196],"paradigm,":[198],"providing":[199],"highly":[203],"accurate":[204],"approach":[205],"This":[210],"robust":[211],"architecture,":[212],"alongside":[213],"its":[214],"variant,":[216],"offers":[217],"powerful":[219],"practical":[221],"tool":[222],"advancing":[224],"research":[226],"further":[228],"deciphering":[229]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-06-05T00:00:00"}