{"id":"https://openalex.org/W3034935262","doi":"https://doi.org/10.1109/saci46893.2019.9111642","title":"Using clustering models for uncovering proteins\u2019 structural similarity","display_name":"Using clustering models for uncovering proteins\u2019 structural similarity","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W3034935262","doi":"https://doi.org/10.1109/saci46893.2019.9111642","mag":"3034935262"},"language":"en","primary_location":{"id":"doi:10.1109/saci46893.2019.9111642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci46893.2019.9111642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics (SACI)","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/A5038943247","display_name":"Mihai Teletin","orcid":"https://orcid.org/0000-0002-3065-6540"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mihai Teletin","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052905844","display_name":"Gabriela Czibula","orcid":"https://orcid.org/0000-0001-7852-681X"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Gabriela Czibula","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010515186","display_name":"Maria-Iuliana Bocicor","orcid":null},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Maria-Iuliana Bocicor","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4274,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63451568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"185","last_page":"190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9962000250816345,"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":0.9927999973297119,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7920337915420532},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7260794043540955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6837641596794128},{"id":"https://openalex.org/keywords/structural-similarity","display_name":"Structural similarity","score":0.6642774939537048},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49829697608947754},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4951094686985016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49152716994285583},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.43312332034111023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39259833097457886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3235798478126526},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.2236771285533905},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.12999200820922852},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08052048087120056}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7920337915420532},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7260794043540955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837641596794128},{"id":"https://openalex.org/C139489369","wikidata":"https://www.wikidata.org/wiki/Q770846","display_name":"Structural similarity","level":2,"score":0.6642774939537048},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49829697608947754},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4951094686985016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49152716994285583},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.43312332034111023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39259833097457886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3235798478126526},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.2236771285533905},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.12999200820922852},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08052048087120056}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci46893.2019.9111642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci46893.2019.9111642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W259338706","https://openalex.org/W1987971958","https://openalex.org/W1992419399","https://openalex.org/W2020320704","https://openalex.org/W2031239680","https://openalex.org/W2049888624","https://openalex.org/W2054520266","https://openalex.org/W2068086934","https://openalex.org/W2079875740","https://openalex.org/W2089085945","https://openalex.org/W2109483063","https://openalex.org/W2128236964","https://openalex.org/W2130479394","https://openalex.org/W2138615112","https://openalex.org/W2140190241","https://openalex.org/W2157654386","https://openalex.org/W2336047182","https://openalex.org/W2501069295","https://openalex.org/W2558272290","https://openalex.org/W2624033879","https://openalex.org/W3128955706","https://openalex.org/W4213009331","https://openalex.org/W4386784493","https://openalex.org/W6680970901"],"related_works":["https://openalex.org/W2588528840","https://openalex.org/W2199594781","https://openalex.org/W2767663474","https://openalex.org/W2294414050","https://openalex.org/W2744974730","https://openalex.org/W4292296636","https://openalex.org/W2285903080","https://openalex.org/W4386076172","https://openalex.org/W4306311884","https://openalex.org/W3200375535"],"abstract_inverted_index":{"Proteins":[0],"are":[1,89,100],"complex":[2],"molecules":[3],"that":[4,115],"serve":[5],"as":[6,38],"building":[7],"blocks":[8],"in":[9,14,25,116,127],"organisms,":[10],"executing":[11],"important":[12],"tasks":[13],"order":[15],"to":[16,79],"maintain":[17],"cellular":[18],"environment":[19],"and":[20,35,75,96,102],"thus":[21],"having":[22],"essential":[23],"roles":[24],"existence.":[26],"This":[27],"paper":[28],"examines":[29],"the":[30,49,65,97,105],"usefulness":[31],"of":[32,68,107],"applying":[33],"partitional":[34],"hierarchical":[36],"clustering":[37,77],"unsupervised":[39],"classification":[40],"methods":[41,78],"for":[42,60],"uncovering":[43],"proteins'":[44],"structural":[45,70,86],"similarity,":[46],"based":[47,63,83],"on":[48,64,84,91],"information":[50],"contained":[51],"within":[52,72],"their":[53,85],"conformational":[54,73],"transitions.":[55],"We":[56],"investigate":[57],"three":[58],"representations":[59],"a":[61],"protein":[62,93],"probability":[66],"distributions":[67],"certain":[69],"elements":[71],"transitions":[74],"apply":[76],"unsupervisedly":[80],"classify":[81],"proteins":[82],"similarity.":[87],"Experiments":[88],"performed":[90],"two":[92],"data":[94],"sets":[95],"obtained":[98],"results":[99,106,113],"analyzed":[101],"compared":[103],"with":[104],"similar":[108],"existing":[109],"approaches.":[110],"The":[111],"comparative":[112],"reveal":[114],"many":[117],"cases":[118],"our":[119],"proposal":[120],"performs":[121],"better":[122],"than":[123],"an":[124],"earlier":[125],"work":[126],"this":[128],"topic.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
