{"id":"https://openalex.org/W4389742650","doi":"https://doi.org/10.1186/s12859-023-05594-5","title":"DL-PPI: a method on prediction of sequenced protein\u2013protein interaction based on deep learning","display_name":"DL-PPI: a method on prediction of sequenced protein\u2013protein interaction based on deep learning","publication_year":2023,"publication_date":"2023-12-14","ids":{"openalex":"https://openalex.org/W4389742650","doi":"https://doi.org/10.1186/s12859-023-05594-5","pmid":"https://pubmed.ncbi.nlm.nih.gov/38097937"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-023-05594-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05594-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05594-5","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","license_id":"https://openalex.org/licenses/cc-by","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/s12859-023-05594-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101750156","display_name":"Jiahui Wu","orcid":"https://orcid.org/0009-0004-1390-6589"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Wu","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114377956","display_name":"Bo Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Mathematical and Computational Sciences, Massey University, Auckland, 0745, New Zealand. b.liu@massey.ac.nz","School of Mathematical and Computational Sciences, Massey University, Auckland, 0745, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical and Computational Sciences, Massey University, Auckland, 0745, New Zealand. b.liu@massey.ac.nz","institution_ids":[]},{"raw_affiliation_string":"School of Mathematical and Computational Sciences, Massey University, Auckland, 0745, New Zealand","institution_ids":["https://openalex.org/I51158804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718378","display_name":"Jidong Zhang","orcid":"https://orcid.org/0000-0002-7934-7079"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jidong Zhang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101865877","display_name":"Zhihan Wang","orcid":"https://orcid.org/0000-0001-7315-0841"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihan Wang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393871","display_name":"Jianqiang Li","orcid":"https://orcid.org/0000-0002-2208-962X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Li","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114377956"],"corresponding_institution_ids":["https://openalex.org/I51158804"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":4.119,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94575256,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"473","last_page":"473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.7799000144004822,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.7799000144004822,"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":0.13339999318122864,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.048500001430511475,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7048773765563965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6335417628288269},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5860428810119629},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5797329545021057},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5423924922943115},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5415563583374023},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46156516671180725},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43872013688087463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36842969059944153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35374340415000916},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1427558958530426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7048773765563965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6335417628288269},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5860428810119629},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5797329545021057},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5423924922943115},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5415563583374023},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46156516671180725},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43872013688087463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36842969059944153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35374340415000916},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1427558958530426},{"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}],"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":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-023-05594-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05594-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05594-5","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:38097937","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38097937","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:10722729","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10722729","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10722729/pdf/12859_2023_Article_5594.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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:1436f973c8c14d68a4ee30c50ed0025e","is_oa":true,"landing_page_url":"https://doaj.org/article/1436f973c8c14d68a4ee30c50ed0025e","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 24, Iss 1, Pp 1-21 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-023-05594-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05594-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05594-5","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","license_id":"https://openalex.org/licenses/cc-by","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/G4355366799","display_name":null,"funder_award_id":"62076015","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":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389742650.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W56583085","https://openalex.org/W755588900","https://openalex.org/W1977186059","https://openalex.org/W1982267716","https://openalex.org/W1985919127","https://openalex.org/W1989684700","https://openalex.org/W2023311279","https://openalex.org/W2047693963","https://openalex.org/W2068749491","https://openalex.org/W2086782348","https://openalex.org/W2095612544","https://openalex.org/W2097117768","https://openalex.org/W2108377388","https://openalex.org/W2113075998","https://openalex.org/W2119583098","https://openalex.org/W2127426251","https://openalex.org/W2129226383","https://openalex.org/W2130687290","https://openalex.org/W2149310258","https://openalex.org/W2161701113","https://openalex.org/W2162392441","https://openalex.org/W2167851075","https://openalex.org/W2183341477","https://openalex.org/W2258637354","https://openalex.org/W2340589369","https://openalex.org/W2405065882","https://openalex.org/W2526285516","https://openalex.org/W2536158623","https://openalex.org/W2537623931","https://openalex.org/W2616246685","https://openalex.org/W2618265628","https://openalex.org/W2795471740","https://openalex.org/W2885583144","https://openalex.org/W2890911678","https://openalex.org/W2897712722","https://openalex.org/W2957436444","https://openalex.org/W2998799485","https://openalex.org/W3089299640","https://openalex.org/W3134169372","https://openalex.org/W3155214885","https://openalex.org/W3163258067","https://openalex.org/W3185245858","https://openalex.org/W3185942550","https://openalex.org/W3189432583","https://openalex.org/W3197696221","https://openalex.org/W4205177317","https://openalex.org/W4213041764","https://openalex.org/W4231842606","https://openalex.org/W4233120011","https://openalex.org/W4287378317"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2905271011","https://openalex.org/W3048601286","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W2965925734","https://openalex.org/W3153597579","https://openalex.org/W1872833176","https://openalex.org/W4309346246","https://openalex.org/W4285218279"],"abstract_inverted_index":{"PURPOSE:":[0],"Sequenced":[1],"Protein-Protein":[2],"Interaction":[3],"(PPI)":[4],"prediction":[5],"represents":[6],"a":[7,15,95,167,211],"pivotal":[8],"area":[9],"of":[10,23,29,52,121,146,157,205,224,250],"study":[11],"in":[12,18,66,133,161,247],"biology,":[13],"playing":[14],"crucial":[16],"role":[17],"elucidating":[19],"the":[20,27,55,71,92,119,144,155,164,175,200,208,231,248],"mechanistic":[21],"underpinnings":[22],"diseases":[24],"and":[25,47,128,153,184],"facilitating":[26],"design":[28],"novel":[30,96,168,212],"therapeutic":[31],"interventions.":[32],"Conventional":[33],"methods":[34],"for":[35,102],"extracting":[36],"features":[37],"through":[38],"experimental":[39],"processes":[40],"have":[41],"proven":[42],"to":[43,60,84,219,238],"be":[44],"both":[45],"costly":[46],"exceedingly":[48],"complex.":[49],"In":[50,89,199],"light":[51],"these":[53],"challenges,":[54],"scientific":[56],"community":[57],"has":[58],"turned":[59],"computational":[61],"approaches,":[62],"particularly":[63],"those":[64],"grounded":[65],"deep":[67,76,97],"learning":[68,77,98],"methodologies.":[69],"Despite":[70],"progress":[72],"achieved":[73],"by":[74],"current":[75],"technologies,":[78],"their":[79],"effectiveness":[80],"diminishes":[81],"when":[82],"applied":[83],"larger,":[85],"unfamiliar":[86,134],"datasets.":[87,135],"RESULTS:":[88],"this":[90],"study,":[91],"paper":[93,165,209],"introduces":[94],"framework,":[99],"termed":[100],"DL-PPI,":[101],"predicting":[103],"PPIs":[104],"based":[105],"on":[106],"sequence":[107],"data.":[108],"The":[109,227],"proposed":[110],"framework":[111,243],"comprises":[112],"two":[113],"key":[114],"components":[115],"aimed":[116],"at":[117],"improving":[118],"accuracy":[120,145],"feature":[122,147,171,192],"extraction":[123,148,172],"from":[124,149],"individual":[125,150],"protein":[126,151,169,187],"sequences":[127,152],"capturing":[129],"relationships":[130,158],"between":[131,159,222,235],"proteins":[132,160],"1.":[136],"Protein":[137],"Node":[138],"Feature":[139,202],"Extraction":[140,203],"Module:":[141],"To":[142],"enhance":[143],"facilitate":[154],"understanding":[156],"unknown":[162],"datasets,":[163],"devised":[166],"node":[170],"module":[173,179,204],"utilizing":[174],"Inception":[176],"method.":[177],"This":[178],"efficiently":[180],"captures":[181,230],"relevant":[182],"patterns":[183],"representations":[185],"within":[186],"sequences,":[188],"enabling":[189],"more":[190],"informative":[191],"extraction.":[193],"2.":[194],"Feature-Relational":[195],"Reasoning":[196],"Network":[197],"(FRN):":[198],"Global":[201],"our":[206],"model,":[207],"developed":[210],"FRN":[213,228],"that":[214],"leveraged":[215],"Graph":[216],"Neural":[217],"Networks":[218],"determine":[220],"interactions":[221],"pairs":[223],"input":[225],"proteins.":[226],"effectively":[229],"underlying":[232],"relational":[233],"information":[234],"proteins,":[236],"contributing":[237],"improved":[239],"PPI":[240,252],"predictions.":[241],"DL-PPI":[242],"demonstrates":[244],"state-of-the-art":[245],"performance":[246],"realm":[249],"sequence-based":[251],"prediction.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":7}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2025-10-10T00:00:00"}
