{"id":"https://openalex.org/W4313527453","doi":"https://doi.org/10.1109/bibm55620.2022.9995316","title":"Sub-Loc:predicting protein sub-mitochondrial localization based on sequence embedding","display_name":"Sub-Loc:predicting protein sub-mitochondrial localization based on sequence embedding","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313527453","doi":"https://doi.org/10.1109/bibm55620.2022.9995316"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995316","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9995316","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100453825","display_name":"Xiaoting Wang","orcid":"https://orcid.org/0000-0003-4575-0932"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoting Wang","raw_affiliation_strings":["Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education,School of Computer Science,Hohhot,China","School of Computer Science, Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education,School of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"School of Computer Science, Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773422","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0002-8289-1614"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wang","raw_affiliation_strings":["Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education,School of Computer Science,Hohhot,China","School of Computer Science, Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education,School of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"School of Computer Science, Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069204721","display_name":"Haodong Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haodong Bian","raw_affiliation_strings":["Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education,School of Computer Science,Hohhot,China","School of Computer Science, Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education,School of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"School of Computer Science, Inner Mongolia University, and Ecological Big Data Engineering Research Center of the Ministry of Education, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079800756","display_name":"Maozu Guo","orcid":"https://orcid.org/0000-0001-6228-6276"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maozu Guo","raw_affiliation_strings":["Beijing University of Civil Engineering and Architecture,School of Electrical and Information Engineering,Beijing,P.R. China,100044","Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Civil Engineering and Architecture,School of Electrical and Information Engineering,Beijing,P.R. China,100044","institution_ids":["https://openalex.org/I62853816"]},{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2009","issue":null,"first_page":"81","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9961000084877014,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9761999845504761,"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/embedding","display_name":"Embedding","score":0.6226341128349304},{"id":"https://openalex.org/keywords/mitochondrion","display_name":"Mitochondrion","score":0.6064770221710205},{"id":"https://openalex.org/keywords/protein-subcellular-localization-prediction","display_name":"Protein subcellular localization prediction","score":0.5954734683036804},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5795061588287354},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5599483251571655},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5572312474250793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4792778193950653},{"id":"https://openalex.org/keywords/protein-sequencing","display_name":"Protein sequencing","score":0.4724830985069275},{"id":"https://openalex.org/keywords/subcellular-localization","display_name":"Subcellular localization","score":0.46328869462013245},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4593093991279602},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45730072259902954},{"id":"https://openalex.org/keywords/organelle","display_name":"Organelle","score":0.41112589836120605},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3917276859283447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3858509361743927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35049957036972046},{"id":"https://openalex.org/keywords/peptide-sequence","display_name":"Peptide sequence","score":0.2749597430229187},{"id":"https://openalex.org/keywords/cell-biology","display_name":"Cell biology","score":0.24948137998580933},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.2472594976425171},{"id":"https://openalex.org/keywords/cytoplasm","display_name":"Cytoplasm","score":0.14167386293411255},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.10296136140823364}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6226341128349304},{"id":"https://openalex.org/C28859421","wikidata":"https://www.wikidata.org/wiki/Q39572","display_name":"Mitochondrion","level":2,"score":0.6064770221710205},{"id":"https://openalex.org/C140051345","wikidata":"https://www.wikidata.org/wiki/Q7251501","display_name":"Protein subcellular localization prediction","level":3,"score":0.5954734683036804},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5795061588287354},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5599483251571655},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5572312474250793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4792778193950653},{"id":"https://openalex.org/C10010492","wikidata":"https://www.wikidata.org/wiki/Q3142557","display_name":"Protein sequencing","level":4,"score":0.4724830985069275},{"id":"https://openalex.org/C2776879804","wikidata":"https://www.wikidata.org/wiki/Q7630919","display_name":"Subcellular localization","level":3,"score":0.46328869462013245},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4593093991279602},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45730072259902954},{"id":"https://openalex.org/C168240541","wikidata":"https://www.wikidata.org/wiki/Q45948","display_name":"Organelle","level":2,"score":0.41112589836120605},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3917276859283447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3858509361743927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35049957036972046},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.2749597430229187},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.24948137998580933},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.2472594976425171},{"id":"https://openalex.org/C190062978","wikidata":"https://www.wikidata.org/wiki/Q79899","display_name":"Cytoplasm","level":2,"score":0.14167386293411255},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.10296136140823364},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995316","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9995316","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W168564468","https://openalex.org/W1501531009","https://openalex.org/W1554187497","https://openalex.org/W1614298861","https://openalex.org/W1662133657","https://openalex.org/W2002364392","https://openalex.org/W2021408532","https://openalex.org/W2023542615","https://openalex.org/W2029690995","https://openalex.org/W2089047063","https://openalex.org/W2104933073","https://openalex.org/W2117190680","https://openalex.org/W2131744502","https://openalex.org/W2144620643","https://openalex.org/W2148143831","https://openalex.org/W2170747616","https://openalex.org/W2180564888","https://openalex.org/W2313411748","https://openalex.org/W2317552386","https://openalex.org/W2535181902","https://openalex.org/W2582377823","https://openalex.org/W2586064251","https://openalex.org/W2730472814","https://openalex.org/W2761876824","https://openalex.org/W2791796577","https://openalex.org/W2884001105","https://openalex.org/W2949779257","https://openalex.org/W2980057552","https://openalex.org/W3004263072","https://openalex.org/W3009754656","https://openalex.org/W3048357930","https://openalex.org/W3084660877","https://openalex.org/W3102751229","https://openalex.org/W3116452748","https://openalex.org/W3184324824","https://openalex.org/W4210984920","https://openalex.org/W4221108484","https://openalex.org/W4285405240","https://openalex.org/W4294170691","https://openalex.org/W4299676335","https://openalex.org/W6636510571","https://openalex.org/W6675634716","https://openalex.org/W6679775712","https://openalex.org/W6682691769","https://openalex.org/W6684560594","https://openalex.org/W6725018381","https://openalex.org/W6732702628"],"related_works":["https://openalex.org/W2351398203","https://openalex.org/W4205775722","https://openalex.org/W4366498163","https://openalex.org/W2402975874","https://openalex.org/W2384110740","https://openalex.org/W2389499846","https://openalex.org/W2374123826","https://openalex.org/W2128345772","https://openalex.org/W256932276","https://openalex.org/W2144244209"],"abstract_inverted_index":{"Mitochondria":[0],"are":[1,126],"subcellular":[2],"organelles":[3],"existing":[4],"in":[5,14,22,33],"most":[6],"eukaryotic":[7],"organisms.":[8],"They":[9],"have":[10,27,46],"a":[11,37,98],"pivotal":[12],"role":[13],"lots":[15],"of":[16,25,108,141,146,162],"bio-chemical":[17],"processes":[18],"for":[19,40,51,143,158],"cells.":[20],"Proteins":[21],"different":[23],"compartments":[24],"mitochondria":[26,34],"their":[28,56],"transport":[29],"routes.":[30],"Locating":[31],"proteins":[32,78,109,147],"can":[35,86],"provide":[36],"solid":[38],"foundation":[39],"mitochondrial":[41,77,94],"pathologies.":[42],"So":[43],"far,":[44],"there":[45],"been":[47],"several":[48],"computational":[49],"methods":[50],"solving":[52],"the":[53,66,88,105,111,115,124,133,139],"issue.":[54],"However,":[55],"accuracy":[57],"is":[58],"so":[59],"low":[60],"that":[61],"they":[62],"do":[63],"not":[64],"identify":[65],"localization":[67,107,145,161],"precisely.":[68],"We":[69,96],"develop":[70],"an":[71],"unsupervised":[72],"learning":[73],"model":[74],"to":[75,103],"represent":[76],"as":[79],"n-dimensional":[80],"vectors,":[81],"called":[82,101],"sequence":[83,116,120,134],"embedding,":[84],"which":[85],"learn":[87],"global":[89],"and":[90,114,123],"context":[91],"information":[92],"from":[93],"proteins.":[95,163],"design":[97],"new":[99],"model,":[100],"Sub-Loc,":[102],"predict":[104],"sub-mitochondrial":[106,144,160],"using":[110],"SVM":[112],"classifier":[113],"embedding":[117,121,135],"method.":[118],"The":[119,153],"method":[122,136],"Sub-Loc":[125,154],"tested":[127],"by":[128],"experiments.":[129],"Experimental":[130],"results":[131],"show":[132],"remarkably":[137],"enhances":[138],"performance":[140],"prediction":[142],"compared":[148],"with":[149],"other":[150,156],"feature":[151],"representations.":[152],"outperforms":[155],"approaches":[157],"predicting":[159]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}