{"id":"https://openalex.org/W2043026651","doi":"https://doi.org/10.1145/1995412.1995437","title":"On metric approximations of the SProt measure","display_name":"On metric approximations of the SProt measure","publication_year":2011,"publication_date":"2011-06-30","ids":{"openalex":"https://openalex.org/W2043026651","doi":"https://doi.org/10.1145/1995412.1995437","mag":"2043026651"},"language":"en","primary_location":{"id":"doi:10.1145/1995412.1995437","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1995412.1995437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth International Conference on SImilarity Search and APplications","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/A5079524677","display_name":"Jakub Galgonek","orcid":"https://orcid.org/0000-0002-7038-544X"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jakub Galgonek","raw_affiliation_strings":["Charles University in Prague"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles University in Prague","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049617942","display_name":"David Hoksza","orcid":"https://orcid.org/0000-0003-4679-0557"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"David Hoksza","raw_affiliation_strings":["Charles University in Prague"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles University in Prague","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09433119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"119","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9890999794006348,"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/T11106","display_name":"Data Management and Algorithms","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/metric","display_name":"Metric (unit)","score":0.8602405190467834},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.8476888537406921},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7971302270889282},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.7228327989578247},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6653634309768677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.603313684463501},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.497315913438797},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3862001895904541},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3529449701309204},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33692267537117004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32087618112564087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2603261470794678},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07074478268623352}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.8602405190467834},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.8476888537406921},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7971302270889282},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.7228327989578247},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6653634309768677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.603313684463501},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.497315913438797},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3862001895904541},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3529449701309204},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33692267537117004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32087618112564087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2603261470794678},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07074478268623352},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations 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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1995412.1995437","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1995412.1995437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth International Conference on SImilarity Search and APplications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1031267697","display_name":null,"funder_award_id":"202/11/0968","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"},{"id":"https://openalex.org/G4831505889","display_name":null,"funder_award_id":"430711","funder_id":"https://openalex.org/F4320309755","funder_display_name":"Univerzita Karlova v Praze"}],"funders":[{"id":"https://openalex.org/F4320309755","display_name":"Univerzita Karlova v Praze","ror":"https://ror.org/024d6js02"},{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2074231493","https://openalex.org/W2085277871","https://openalex.org/W2108053094","https://openalex.org/W2113809872","https://openalex.org/W2161151688"],"related_works":["https://openalex.org/W1949910768","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W1480566255","https://openalex.org/W2254397067","https://openalex.org/W2072263576","https://openalex.org/W2013685631","https://openalex.org/W2474567666","https://openalex.org/W1882921205","https://openalex.org/W1940044583"],"abstract_inverted_index":{"Protein":[0],"structure":[1],"similarity":[2,37],"search":[3,29],"is":[4,31,50,57],"one":[5],"of":[6,18,45,72],"the":[7,15,23,73],"most":[8],"essential":[9],"tasks":[10],"in":[11,43],"current":[12],"proteomics.":[13],"With":[14],"growing":[16],"number":[17],"experimentally":[19],"solved":[20],"protein":[21],"structures,":[22],"need":[24],"for":[25,60],"accurate":[26],"and":[27],"fast":[28],"methods":[30],"increasing.":[32],"We":[33],"have":[34],"recently":[35],"introduced":[36],"measure":[38,49,75],"SProt":[39,74],"showing":[40],"good":[41],"results":[42],"terms":[44],"effectiveness.":[46,79],"However,":[47],"this":[48,64],"computationally":[51],"very":[52],"intensive":[53],"and,":[54],"moreover,":[55],"it":[56],"not":[58],"suitable":[59],"metric":[61,70],"indexing.":[62],"In":[63],"paper,":[65],"we":[66],"introduce":[67],"an":[68],"efficient":[69],"approximation":[71],"maintaining":[76],"its":[77],"former":[78]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}