{"id":"https://openalex.org/W4404031485","doi":"https://doi.org/10.1109/icccnt61001.2024.10725821","title":"Predicting Protein-Protein Interactions Using Self-Attention-Based Deep Neural Networks and FastText Embeddings","display_name":"Predicting Protein-Protein Interactions Using Self-Attention-Based Deep Neural Networks and FastText Embeddings","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031485","doi":"https://doi.org/10.1109/icccnt61001.2024.10725821"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725821","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050093247","display_name":"I R Oviya","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"I. R. Oviya","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School Of Computing,Department of Computer Science Engineering,Chennai,India,601103"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School Of Computing,Department of Computer Science Engineering,Chennai,India,601103","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066583080","display_name":"N Sravya","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N Shanmukha Sravya","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School Of Computing,Department of Computer Science Engineering,Chennai,India,601103"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School Of Computing,Department of Computer Science Engineering,Chennai,India,601103","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024997718","display_name":"Kalpana Raja","orcid":"https://orcid.org/0000-0002-3156-4197"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalpana Raja","raw_affiliation_strings":["Yale University,Section for Biomedical Informatics and Data Science School of Medicine,New Haven Connecticut,USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Section for Biomedical Informatics and Data Science School of Medicine,New Haven Connecticut,USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050093247"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.2501,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59451311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.986299991607666,"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":0.986299991607666,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9344000220298767,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6655181646347046},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6205061674118042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5803295373916626},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4924510419368744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39049696922302246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6655181646347046},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6205061674118042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803295373916626},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4924510419368744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39049696922302246}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725821","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2343619338","https://openalex.org/W2808071711","https://openalex.org/W2890911678","https://openalex.org/W2946860563","https://openalex.org/W2957180077","https://openalex.org/W2982511821","https://openalex.org/W2999555483","https://openalex.org/W3124662554","https://openalex.org/W3127102714","https://openalex.org/W3132704218","https://openalex.org/W3174714560","https://openalex.org/W4285154204","https://openalex.org/W4285243340","https://openalex.org/W4296564676","https://openalex.org/W4309242540","https://openalex.org/W4317496130","https://openalex.org/W4322730749","https://openalex.org/W4323021536","https://openalex.org/W4362544602"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Predicting":[0],"Protein-protein":[1],"interactions":[2],"are":[3],"central":[4],"to":[5,66,91,151],"understanding":[6],"the":[7,42,86,106],"intricate":[8],"mechanisms":[9],"governing":[10],"cellular":[11],"functions,":[12],"as":[13],"proteins":[14],"seldom":[15],"act":[16],"in":[17,105,135],"isolation.":[18],"While":[19],"current":[20],"machine":[21,153],"learning":[22,25,84,154],"and":[23,129,143],"deep":[24],"models":[26],"focus":[27],"on":[28,33,125,161],"encoding":[29,103],"protein":[30,96,102,132],"sequences":[31],"based":[32],"residue":[34],"composition":[35],"or":[36],"physicochemical":[37],"properties,":[38],"they":[39],"often":[40],"overlook":[41],"complex":[43],"relationships":[44],"between":[45],"amino":[46],"acid":[47],"segments":[48],"within":[49],"lengthy":[50],"sequences.":[51,111],"To":[52],"address":[53],"these":[54],"limitations,":[55],"we":[56],"propose":[57],"a":[58,64],"novel":[59],"hybrid":[60],"model":[61,157],"that":[62],"combines":[63],"self-attention":[65],"enhance":[67],"Deep":[68],"neural":[69],"network":[70],"feature":[71],"extraction":[72],"with":[73,75],"an":[74],"FastText":[76,88],"Protein":[77],"embeddings":[78],"for":[79],"predicting":[80],"PPI.":[81],"Utilizing":[82],"transfer":[83],"via":[85],"unsupervised":[87],"embedding":[89],"technique":[90],"derive":[92],"statistical":[93],"representations":[94],"of":[95,108,127,137],"sequences,":[97],"offers":[98],"advantages":[99],"over":[100],"traditional":[101],"techniques":[104],"context":[107],"analysing":[109],"k-Mer":[110],"Our":[112],"model\u2019s":[113],"performance":[114,160],"is":[115],"assessed":[116],"through":[117],"$\\mathbf{5":[118],"-":[119],"f":[120],"o":[121],"l":[122],"d}$":[123],"cross-validation":[124],"datasets":[126],"S.Cerevisiae":[128],"Human-Bacillus":[130],"Anthracis":[131],"interactions,":[133],"resulting":[134],"accuracies":[136],"$\\mathbf{9":[138,144],"2.":[139],"2":[140],"8":[141,147],"\\%}$":[142],"4.":[145],"0":[146],"\\%}$,":[148],"respectively.":[149],"Compared":[150],"existing":[152],"models,":[155],"our":[156],"demonstrates":[158],"superior":[159],"both":[162],"datasets.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
