{"id":"https://openalex.org/W6888851560","doi":"https://doi.org/10.2312/3dor.20171055","title":"Protein Shape Retrieval","display_name":"Protein Shape Retrieval","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W6888851560","doi":"https://doi.org/10.2312/3dor.20171055"},"language":"en","primary_location":{"id":"pmh:oai:zenodo.org:570974","is_oa":true,"landing_page_url":"https://zenodo.org/record/570974","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/570974","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Song, Na","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Song, Na","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Craciun, Daniela","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Craciun, Daniela","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Christoffer, Charles W.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christoffer, Charles W.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Han, Xusi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Xusi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kihara, Daisuke","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kihara, Daisuke","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Levieux, Guillaume","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Levieux, Guillaume","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Montes, Matthieu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Montes, Matthieu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Qin, Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Hong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Sahu, Pranjal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sahu, Pranjal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Terashi, Genki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Terashi, Genki","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Liu, Haiguang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Haiguang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11162","display_name":"Enzyme Structure and Function","score":0.32440000772476196,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11162","display_name":"Enzyme Structure and Function","score":0.32440000772476196,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.3149000108242035,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.04500000178813934,"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/set","display_name":"Set (abstract data type)","score":0.6897000074386597},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5404999852180481},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5198000073432922},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4050999879837036},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.37860000133514404},{"id":"https://openalex.org/keywords/data-retrieval","display_name":"Data retrieval","score":0.3481999933719635},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.3330000042915344}],"concepts":[{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6897000074386597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6575999855995178},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5404999852180481},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5198000073432922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4799000024795532},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43369999527931213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4226999878883362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.31700000166893005},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.30550000071525574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30320000648498535},{"id":"https://openalex.org/C149189445","wikidata":"https://www.wikidata.org/wiki/Q5283894","display_name":"Divergence-from-randomness model","level":3,"score":0.2720000147819519},{"id":"https://openalex.org/C81793267","wikidata":"https://www.wikidata.org/wiki/Q7180962","display_name":"Phase retrieval","level":3,"score":0.2524999976158142},{"id":"https://openalex.org/C136475424","wikidata":"https://www.wikidata.org/wiki/Q7251500","display_name":"Protein structure database","level":4,"score":0.2522999942302704}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:zenodo.org:570974","is_oa":true,"landing_page_url":"https://zenodo.org/record/570974","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},{"id":"doi:10.2312/3dor.20171055","is_oa":true,"landing_page_url":"https://doi.org/10.2312/3dor.20171055","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:570974","is_oa":true,"landing_page_url":"https://zenodo.org/record/570974","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.42342087626457214}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,52,74,133],"large":[1],"number":[2],"of":[3,41,54,62,71,79,99,136,149],"protein":[4,9,50,85],"structures":[5,29,86],"deposited":[6],"in":[7,119,122],"the":[8,16,28,39,42,60,63,69,115,125,137,146],"database":[10],"provide":[11],"an":[12],"opportunity":[13],"to":[14,26,58],"examine":[15],"structure":[17],"relations":[18],"using":[19],"computational":[20,129],"algorithms,":[21],"which":[22,123],"can":[23],"be":[24],"used":[25],"classify":[27],"based":[30],"on":[31,46],"shape":[32,47,138,150],"similarity.":[33],"In":[34],"this":[35,55,120],"paper,":[36],"we":[37],"report":[38],"result":[40],"SHREC":[43],"2017":[44],"track":[45,56],"retrievals":[48],"from":[49,83,96,109],"database.":[51],"goal":[53],"is":[57,77,117,141],"test":[59,75],"performance":[61,116],"algorithms":[64],"proposed":[65],"by":[66],"participants":[67],"for":[68,152],"retrieval":[70,126,139,151],"bioshape":[72],"(proteins).":[73],"set":[76,98],"composed":[78],"5,854":[80],"abstracted":[81],"shapes":[82,93],"actual":[84],"after":[87],"removing":[88],"model":[89],"redundancy.":[90],"Ten":[91],"query":[92],"were":[94,112,131],"selected":[95],"a":[97],"representative":[100],"molecules":[101],"that":[102],"have":[103],"important":[104],"biological":[105,134,153],"functions.":[106],"Six":[107],"methods":[108],"four":[110],"teams":[111],"evaluated":[113],"and":[114,128],"summarized":[118],"report,":[121],"both":[124],"accuracy":[127],"speed":[130],"compared.":[132],"relevance":[135],"approaches":[140],"discussed.":[142],"We":[143],"also":[144],"discussed":[145],"future":[147],"perspectives":[148],"molecular":[154],"models.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
