{"id":"https://openalex.org/W7161738156","doi":"https://doi.org/10.1093/bib/bbag235","title":"MuFGPS: enhancing liquid\u2013liquid phase separation protein prediction through multi-level features and ensemble learning","display_name":"MuFGPS: enhancing liquid\u2013liquid phase separation protein prediction through multi-level features and ensemble learning","publication_year":2026,"publication_date":"2026-04-24","ids":{"openalex":"https://openalex.org/W7161738156","doi":"https://doi.org/10.1093/bib/bbag235","pmid":"https://pubmed.ncbi.nlm.nih.gov/42153320"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbag235","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbag235","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in 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/10.1093/bib/bbag235","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064590606","display_name":"Lei Xian","orcid":"https://orcid.org/0000-0003-3386-158X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xian","raw_affiliation_strings":["Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China , No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, Sichuan ,"],"raw_orcid":"https://orcid.org/0009-0006-8569-8023","affiliations":[{"raw_affiliation_string":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China , No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, Sichuan ,","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136503993","display_name":"Quan Zou","orcid":"https://orcid.org/0000-0001-6406-1142"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Quan Zou","raw_affiliation_strings":["Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Science, Macao Polytechnic University , R. de Lu\u00eds Gonzaga Gomes, Macau 999078 ,","Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China , No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, Sichuan ,"],"raw_orcid":"https://orcid.org/0000-0001-6406-1142","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Science, Macao Polytechnic University , R. de Lu\u00eds Gonzaga Gomes, Macau 999078 ,","institution_ids":["https://openalex.org/I49835588"]},{"raw_affiliation_string":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China , No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, Sichuan ,","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021455957","display_name":"Ren Qi","orcid":"https://orcid.org/0000-0003-0341-4818"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren Qi","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology , No. 5, Zhongguancun South Street, Haidian District, Beijing 100081 ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology , No. 5, Zhongguancun South Street, Haidian District, Beijing 100081 ,","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136478910","display_name":"Mengting Niu","orcid":"https://orcid.org/0000-0001-9175-4649"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengting Niu","raw_affiliation_strings":["School of Electronic and Communication Engineering, Shenzhen Polytechnic University , No. 7098, Liuxian Avenue, Nanshan District, Shenzhen 518055, Guangdong ,","School of Life Science and Technology, University of Electronic Science and Technology of China , No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, Sichuan ,"],"raw_orcid":"https://orcid.org/0000-0001-9175-4649","affiliations":[{"raw_affiliation_string":"School of Electronic and Communication Engineering, Shenzhen Polytechnic University , No. 7098, Liuxian Avenue, Nanshan District, Shenzhen 518055, Guangdong ,","institution_ids":["https://openalex.org/I182722699"]},{"raw_affiliation_string":"School of Life Science and Technology, University of Electronic Science and Technology of China , No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, Sichuan ,","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038146039","display_name":"Yansu Wang","orcid":"https://orcid.org/0000-0003-1274-4958"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yansu Wang","raw_affiliation_strings":["Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China , No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, Sichuan ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China , No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, Sichuan ,","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038146039","https://openalex.org/A5136478910"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I182722699"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55547846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10604","display_name":"RNA Research and Splicing","score":0.8741999864578247,"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/T10604","display_name":"RNA Research and Splicing","score":0.8741999864578247,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.04910000041127205,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.009499999694526196,"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/ensemble-learning","display_name":"Ensemble learning","score":0.7049000263214111},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.58160001039505},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4912000000476837},{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.4706999957561493},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.46459999680519104},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4595000147819519},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.39500001072883606},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.388700008392334}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7049000263214111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7034000158309937},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.58160001039505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5511999726295471},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.4706999957561493},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.46459999680519104},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4595000147819519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4578999876976013},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3813999891281128},{"id":"https://openalex.org/C164085508","wikidata":"https://www.wikidata.org/wiki/Q4811327","display_name":"Matthews correlation coefficient","level":3,"score":0.3808000087738037},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3003999888896942},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C111364199","wikidata":"https://www.wikidata.org/wiki/Q2915896","display_name":"Protein methods","level":4,"score":0.25220000743865967},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25040000677108765}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000095496","descriptor_name":"Phase Separation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000095496","descriptor_name":"Phase Separation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000095496","descriptor_name":"Phase Separation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000095496","descriptor_name":"Phase Separation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098404","descriptor_name":"Boosting Machine Learning Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098404","descriptor_name":"Boosting Machine Learning Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098406","descriptor_name":"Ensemble Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098406","descriptor_name":"Ensemble Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000302","qualifier_name":"isolation & purification","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000302","qualifier_name":"isolation & purification","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":"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},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D059625","descriptor_name":"Liquid-Liquid Extraction","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D059625","descriptor_name":"Liquid-Liquid Extraction","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbag235","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbag235","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:42153320","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42153320","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":"Briefings in bioinformatics","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13184532","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13184532/","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":"Brief Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bib/bbag235","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbag235","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5044359564781189,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G4492447145","display_name":null,"funder_award_id":"62531002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4778297822","display_name":null,"funder_award_id":"62373080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7129890222","display_name":null,"funder_award_id":"62372332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G771689064","display_name":null,"funder_award_id":"62450002","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":35,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W2008708467","https://openalex.org/W2051916497","https://openalex.org/W2139995722","https://openalex.org/W2148143831","https://openalex.org/W2156465034","https://openalex.org/W2170747616","https://openalex.org/W2313094648","https://openalex.org/W2425405879","https://openalex.org/W2568226856","https://openalex.org/W2590568317","https://openalex.org/W2620185010","https://openalex.org/W2786469974","https://openalex.org/W2911964244","https://openalex.org/W2914907359","https://openalex.org/W2991067665","https://openalex.org/W3008905076","https://openalex.org/W3143253488","https://openalex.org/W3177828909","https://openalex.org/W3179907723","https://openalex.org/W3191096373","https://openalex.org/W3211795435","https://openalex.org/W4205392984","https://openalex.org/W4212769969","https://openalex.org/W4255594044","https://openalex.org/W4281490610","https://openalex.org/W4296779471","https://openalex.org/W4390096274","https://openalex.org/W4392018880","https://openalex.org/W4393317567","https://openalex.org/W4393410976","https://openalex.org/W4407565291","https://openalex.org/W4410794241","https://openalex.org/W4410997516","https://openalex.org/W4415053647"],"related_works":[],"abstract_inverted_index":{"Liquid-liquid":[0],"phase":[1],"separation":[2],"(LLPS)":[3],"is":[4,15,115,125],"a":[5,84,108,128,179],"key":[6],"mechanism":[7],"driving":[8],"the":[9,51,164],"assembly":[10],"of":[11,54,59,94,131,167],"membrane-less":[12],"organelles":[13],"and":[14,25,37,69,98,123,135,156,170,175,181],"increasingly":[16],"recognized":[17],"for":[18,81,184],"its":[19],"involvement":[20],"in":[21,154],"essential":[22],"cellular":[23],"functions":[24],"various":[26],"diseases.":[27],"However,":[28],"existing":[29],"computational":[30],"approaches":[31],"largely":[32],"rely":[33],"on":[34],"sequence-level":[35],"descriptors":[36],"often":[38],"fail":[39],"to":[40,49,65,173],"explicitly":[41],"incorporate":[42],"structural":[43,71,100,168],"topology":[44],"information,":[45],"limiting":[46],"their":[47,66],"ability":[48],"capture":[50],"complex":[52,70],"determinants":[53],"LLPS":[55,186],"behavior.":[56],"Accurate":[57],"identification":[58],"LLPS-capable":[60],"proteins":[61],"remains":[62],"challenging":[63],"due":[64],"sequence":[67],"diversity":[68],"determinants.":[72],"Here,":[73],"we":[74],"present":[75],"MuFGPS":[76,144,177],"(Multi-level":[77],"Feature":[78],"Graph-based":[79],"Predictor":[80],"Phase-Separating":[82],"proteins),":[83],"predictive":[85],"framework":[86,183],"integrating":[87],"sequence-derived":[88],"physicochemical":[89],"features,":[90],"Define":[91],"Secondary":[92],"Structure":[93],"Proteins-annotated":[95],"secondary":[96],"structures,":[97],"graph-based":[99],"embeddings":[101],"from":[102],"AlphaFold":[103],"residue":[104],"contact":[105],"maps":[106],"via":[107],"multi-head":[109],"Graph":[110],"Attention":[111],"Network.":[112],"Class":[113],"imbalance":[114],"addressed":[116],"using":[117],"Synthetic":[118],"Minority":[119],"Oversampling":[120],"Technique":[121],"(SMOTE),":[122],"classification":[124],"performed":[126],"through":[127],"stacking":[129],"ensemble":[130,171],"Random":[132],"Forest,":[133],"XGBoost,":[134],"LightGBM.":[136],"Benchmarks":[137],"against":[138],"six":[139],"representative":[140],"methods":[141],"demonstrate":[142],"that":[143],"achieves":[145],"superior":[146],"performance":[147],"across":[148],"all":[149],"metrics,":[150],"with":[151],"notable":[152],"gains":[153],"F1-score":[155],"matthews":[157],"correlation":[158],"coefficient":[159],"(MCC).":[160],"Ablation":[161],"analyses":[162],"confirm":[163],"synergistic":[165],"contributions":[166],"features":[169],"learning":[172],"accuracy":[174],"robustness.":[176],"offers":[178],"scalable":[180],"high-accuracy":[182],"proteome-wide":[185],"protein":[187],"prediction.":[188]},"counts_by_year":[],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2026-05-20T00:00:00"}