{"id":"https://openalex.org/W3036349974","doi":"https://doi.org/10.1109/saci49304.2020.9118813","title":"CVSimP: An approach for predicting proteins\u2019 structural similarity using one-shot learning","display_name":"CVSimP: An approach for predicting proteins\u2019 structural similarity using one-shot learning","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3036349974","doi":"https://doi.org/10.1109/saci49304.2020.9118813","mag":"3036349974"},"language":"en","primary_location":{"id":"doi:10.1109/saci49304.2020.9118813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci49304.2020.9118813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 14th 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":["Department of Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"last","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":["Department of Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1667,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49793754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"000111","last_page":"000116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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":0.9970999956130981,"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":0.7566574215888977},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6901794672012329},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6844069957733154},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6431519985198975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6260793209075928},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6213703751564026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5849978923797607},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5794408321380615},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.46318885684013367},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4246659576892853},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4148770868778229},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33870571851730347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7566574215888977},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6901794672012329},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6844069957733154},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6431519985198975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6260793209075928},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6213703751564026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5849978923797607},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5794408321380615},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.46318885684013367},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4246659576892853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4148770868778229},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33870571851730347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci49304.2020.9118813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci49304.2020.9118813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1980897319","https://openalex.org/W1995808589","https://openalex.org/W2002813366","https://openalex.org/W2004384173","https://openalex.org/W2006239488","https://openalex.org/W2022002419","https://openalex.org/W2039306826","https://openalex.org/W2049888624","https://openalex.org/W2052578140","https://openalex.org/W2060033205","https://openalex.org/W2071100975","https://openalex.org/W2089745541","https://openalex.org/W2094897835","https://openalex.org/W2097356092","https://openalex.org/W2127589108","https://openalex.org/W2128236964","https://openalex.org/W2129727244","https://openalex.org/W2130479394","https://openalex.org/W2138621090","https://openalex.org/W2433743436","https://openalex.org/W2562171514","https://openalex.org/W2565684601","https://openalex.org/W2806399642","https://openalex.org/W2890911678","https://openalex.org/W2957436444","https://openalex.org/W2964121744","https://openalex.org/W2969636001","https://openalex.org/W3034935262","https://openalex.org/W3091905774","https://openalex.org/W6631190155","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2109986081","https://openalex.org/W4297589944","https://openalex.org/W4293226380","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"Proteomics":[0],"is":[1,25],"considered":[2],"an":[3],"important":[4],"field":[5],"from":[6,89,117],"the":[7,21,90,118],"computational":[8],"biology.":[9],"It":[10],"deals":[11],"with":[12,78],"answering":[13],"some":[14],"challenging":[15],"questions":[16],"regarding":[17],"proteins":[18,56,87],"structure.":[19],"On":[20],"other":[22],"hand,":[23],"it":[24],"nowadays":[26],"well":[27],"known":[28],"that":[29,107],"computer":[30],"vision":[31],"and":[32,71],"machine":[33],"learning":[34,70],"can":[35],"be":[36],"used":[37],"together":[38,97],"to":[39],"build":[40],"powerful":[41],"systems":[42],"for":[43,54,76,94],"analysing":[44],"complex":[45],"image":[46],"data.":[47],"This":[48],"paper":[49],"introduces":[50],"a":[51,65],"new":[52],"approach":[53],"grouping":[55],"based":[57,67,98],"on":[58,68,99],"their":[59,100],"internal":[60],"structure":[61],"similarity.":[62],"We":[63],"propose":[64],"system":[66,82],"one-shot":[69],"siamese":[72],"convolutional":[73],"neural":[74],"networks":[75],"dealing":[77],"this":[79],"task.":[80],"The":[81,103],"analyses":[83],"graphical":[84],"representations":[85],"of":[86,112],"obtained":[88],"Protein":[91],"data":[92],"bank":[93],"clustering":[95],"them":[96],"structural":[101],"similarities.":[102],"experimental":[104],"results":[105],"highlight":[106],"CVSimP":[108],"outperforms,":[109],"in":[110],"terms":[111],"F-measure,":[113],"similar":[114],"related":[115],"work":[116],"literature.":[119]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
