{"id":"https://openalex.org/W2118258728","doi":"https://doi.org/10.1142/s0218194005002439","title":"A FAST PROTEIN STRUCTURE RETRIEVAL SYSTEM USING IMAGE-BASED DISTANCE MATRICES AND MULTIDIMENSIONAL INDEX","display_name":"A FAST PROTEIN STRUCTURE RETRIEVAL SYSTEM USING IMAGE-BASED DISTANCE MATRICES AND MULTIDIMENSIONAL INDEX","publication_year":2005,"publication_date":"2005-06-01","ids":{"openalex":"https://openalex.org/W2118258728","doi":"https://doi.org/10.1142/s0218194005002439","mag":"2118258728"},"language":"en","primary_location":{"id":"doi:10.1142/s0218194005002439","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194005002439","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-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/A5057508937","display_name":"Pin-Hao Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"PIN-HAO CHI","raw_affiliation_strings":["Medical and Biological Digital Library Research Lab, Department of Computer Science, University of Missouri-Columbia, Columbia, MO 65211, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical and Biological Digital Library Research Lab, Department of Computer Science, University of Missouri-Columbia, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051712346","display_name":"Grant J. Scott","orcid":"https://orcid.org/0000-0001-5870-9387"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"GRANT SCOTT","raw_affiliation_strings":["Medical and Biological Digital Library Research Lab, Department of Computer Science, University of Missouri-Columbia, Columbia, MO 65211, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical and Biological Digital Library Research Lab, Department of Computer Science, University of Missouri-Columbia, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013031415","display_name":"Chi\u2010Ren Shyu","orcid":"https://orcid.org/0000-0001-9197-9522"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"CHI-REN SHYU","raw_affiliation_strings":["Medical and Biological Digital Library Research Lab, Department of Computer Science, University of Missouri-Columbia, Columbia, MO 65211, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical and Biological Digital Library Research Lab, Department of Computer Science, University of Missouri-Columbia, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":1.4718,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83989718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"15","issue":"03","first_page":"527","last_page":"545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9754999876022339,"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/search-engine-indexing","display_name":"Search engine indexing","score":0.7725896835327148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6649772524833679},{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.6357826590538025},{"id":"https://openalex.org/keywords/distance-matrices-in-phylogeny","display_name":"Distance matrices in phylogeny","score":0.527923583984375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5210451483726501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4430014491081238},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4387941360473633},{"id":"https://openalex.org/keywords/database-index","display_name":"Database index","score":0.4300050139427185},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4185221493244171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3034300208091736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2201157808303833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20261156558990479},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1754104197025299}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7725896835327148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6649772524833679},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.6357826590538025},{"id":"https://openalex.org/C5349765","wikidata":"https://www.wikidata.org/wiki/Q5282866","display_name":"Distance matrices in phylogeny","level":2,"score":0.527923583984375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5210451483726501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4430014491081238},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4387941360473633},{"id":"https://openalex.org/C59276292","wikidata":"https://www.wikidata.org/wiki/Q580427","display_name":"Database index","level":3,"score":0.4300050139427185},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4185221493244171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3034300208091736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2201157808303833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20261156558990479},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1754104197025299},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0218194005002439","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194005002439","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.112.342","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://proteindbs.rnet.missouri.edu/proteindbs_algo.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309568","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1539841369","https://openalex.org/W1622620102","https://openalex.org/W1660390307","https://openalex.org/W1989447327","https://openalex.org/W2022058405","https://openalex.org/W2036106789","https://openalex.org/W2036279918","https://openalex.org/W2044465660","https://openalex.org/W2053281575","https://openalex.org/W2074231493","https://openalex.org/W2079992621","https://openalex.org/W2085277871","https://openalex.org/W2087064593","https://openalex.org/W2096540816","https://openalex.org/W2099235960","https://openalex.org/W2099698841","https://openalex.org/W2106453718","https://openalex.org/W2120688485","https://openalex.org/W2128241223","https://openalex.org/W2130660124","https://openalex.org/W2133059825","https://openalex.org/W2140239209","https://openalex.org/W2151457740","https://openalex.org/W2152024417","https://openalex.org/W2152326664","https://openalex.org/W2161773631","https://openalex.org/W2167120101","https://openalex.org/W4242602028"],"related_works":["https://openalex.org/W2001076853","https://openalex.org/W1872375678","https://openalex.org/W4387171312","https://openalex.org/W4388316203","https://openalex.org/W4206923957","https://openalex.org/W2952169863","https://openalex.org/W4235784610","https://openalex.org/W1605858995","https://openalex.org/W1753959406","https://openalex.org/W2090844285"],"abstract_inverted_index":{"Indexing":[0],"protein":[1,17,70,79,133,168],"tertiary":[2],"structures":[3],"has":[4],"been":[5],"shown":[6],"to":[7,54,110,144,158],"provide":[8],"a":[9,30,116,129,163,173],"scalable":[10],"solution":[11],"for":[12],"structure-to-structure":[13],"comparisons":[14],"in":[15,29,60,139,149,162,170],"large":[16],"structure":[18],"retrieval":[19],"systems.":[20],"To":[21],"conduct":[22],"similarity":[23],"searches":[24],"against":[25],"53,356":[26],"polypeptide":[27],"chains":[28],"database":[31,169],"with":[32],"real-time":[33],"responses,":[34],"two":[35],"critical":[36],"issues":[37],"must":[38],"be":[39,108],"addressed,":[40],"information":[41,58],"extraction":[42],"and":[43,82],"suitable":[44],"indexing.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,135],"apply":[50,136],"computer":[51],"vision":[52],"techniques":[53,138],"extract":[55],"the":[56,112,140,150,167],"predominant":[57],"encoded":[59],"each":[61],"2D":[62],"distance":[63,95],"matrix,":[64],"generated":[65],"from":[66,94,122,166],"3D":[67],"coordinates":[68],"of":[69,76,119,128,131,147,177],"chains.":[71],"Distance":[72],"matrices":[73],"are":[74,92],"capable":[75],"representing":[77],"specific":[78],"structural":[80,126],"topologies,":[81],"similar":[83,87],"proteins":[84,148],"will":[85],"generate":[86],"matrices.":[88],"Once":[89],"meaningful":[90],"features":[91],"extracted":[93],"images,":[96],"an":[97],"advanced":[98],"indexing":[99],"structure,":[100],"Entropy":[101],"Balanced":[102],"Statistical":[103],"(EBS)":[104],"k-d":[105],"tree,":[106],"can":[107],"utilized":[109],"index":[111],"multidimensional":[113],"data.":[114],"With":[115],"limited":[117],"amount":[118],"training":[120],"data":[121],"domain":[123],"experts,":[124],"namely":[125],"classification":[127],"subset":[130],"available":[132],"chains,":[134],"various":[137],"pattern":[141],"recognition":[142],"field":[143],"determine":[145],"clusters":[146],"multi-dimensional":[151],"feature":[152],"space.":[153],"Our":[154],"system":[155],"is":[156],"able":[157],"recall":[159],"search":[160],"results":[161],"ranked":[164],"order":[165],"seconds,":[171],"exhibiting":[172],"reasonably":[174],"high":[175],"degree":[176],"precision.":[178]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}