{"id":"https://openalex.org/W1628823484","doi":"https://doi.org/10.1109/eit.2015.7293368","title":"Towards a better measure of protein 3D model quality","display_name":"Towards a better measure of protein 3D model quality","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1628823484","doi":"https://doi.org/10.1109/eit.2015.7293368","mag":"1628823484"},"language":"en","primary_location":{"id":"doi:10.1109/eit.2015.7293368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2015.7293368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","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/A5046539917","display_name":"Aleksandar Poleksi\u0107","orcid":"https://orcid.org/0000-0002-6444-0350"},"institutions":[{"id":"https://openalex.org/I119234918","display_name":"University of Northern Iowa","ror":"https://ror.org/02h4qpx12","country_code":"US","type":"education","lineage":["https://openalex.org/I119234918"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aleksandar Poleksic","raw_affiliation_strings":["Department of Computer Science, University of Northern Iowa, Cedar Falls, Iowa, USA","Department of Computer Science, University of Northern Iowa Cedar Falls, Iowa, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Northern Iowa, Cedar Falls, Iowa, USA","institution_ids":["https://openalex.org/I119234918"]},{"raw_affiliation_string":"Department of Computer Science, University of Northern Iowa Cedar Falls, Iowa, USA","institution_ids":["https://openalex.org/I119234918"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046539917"],"corresponding_institution_ids":["https://openalex.org/I119234918"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02520043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"357","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9987999796867371,"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/T10044","display_name":"Protein Structure and Dynamics","score":0.9987999796867371,"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/T11162","display_name":"Enzyme Structure and Function","score":0.9968000054359436,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9950000047683716,"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/measure","display_name":"Measure (data warehouse)","score":0.8054620623588562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.623908519744873},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5228326916694641},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5140115022659302},{"id":"https://openalex.org/keywords/cutoff","display_name":"Cutoff","score":0.5007236003875732},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.47961246967315674},{"id":"https://openalex.org/keywords/protein-structure-prediction","display_name":"Protein structure prediction","score":0.4690922498703003},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4676593840122223},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4189288020133972},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.378764271736145},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28407031297683716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2819802761077881},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2763913571834564},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.26437169313430786},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07053276896476746},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06434798240661621}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.8054620623588562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.623908519744873},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5228326916694641},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5140115022659302},{"id":"https://openalex.org/C2778217198","wikidata":"https://www.wikidata.org/wiki/Q556977","display_name":"Cutoff","level":2,"score":0.5007236003875732},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.47961246967315674},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.4690922498703003},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4676593840122223},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4189288020133972},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.378764271736145},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28407031297683716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2819802761077881},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2763913571834564},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.26437169313430786},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07053276896476746},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06434798240661621},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eit.2015.7293368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2015.7293368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.uni.edu:facpub-2242","is_oa":false,"landing_page_url":"https://scholarworks.uni.edu/facpub/1241","pdf_url":null,"source":{"id":"https://openalex.org/S4377196489","display_name":"UNI ScholarWorks (University of Northern Iowa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119234918","host_organization_name":"University of Northern Iowa","host_organization_lineage":["https://openalex.org/I119234918"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W65274282","https://openalex.org/W1504510606","https://openalex.org/W1980955692","https://openalex.org/W1985833509","https://openalex.org/W1989777815","https://openalex.org/W2022058405","https://openalex.org/W2079347633","https://openalex.org/W2089035513","https://openalex.org/W2110483430","https://openalex.org/W2120796076","https://openalex.org/W2126016150","https://openalex.org/W2154942971","https://openalex.org/W3047916294","https://openalex.org/W4241935390"],"related_works":["https://openalex.org/W3092388660","https://openalex.org/W1778838665","https://openalex.org/W3175879137","https://openalex.org/W2328322229","https://openalex.org/W2119262383","https://openalex.org/W4320056724","https://openalex.org/W641205","https://openalex.org/W2032312629","https://openalex.org/W3094919452","https://openalex.org/W2359008465"],"abstract_inverted_index":{"Advances":[0],"in":[1,51,67,120],"protein":[2,17,118],"three-dimensional":[3],"structure":[4,54],"prediction":[5],"depend":[6],"strongly":[7],"on":[8],"the":[9,13,21,26,30,33,36,47,52,64,68,94,99,110,113],"ability":[10],"to":[11,42,84],"measure":[12],"quality":[14,28],"of":[15,20,25,35,49,73,77,101,105,109,116],"a":[16,74,117],"model.":[18],"One":[19],"best":[22],"single":[23],"measures":[24],"model":[27,53,119],"is":[29],"area":[31,111],"under":[32,112],"graph":[34],"so-called":[37],"\u201cGDT":[38],"function\u201d":[39],"that":[40,55],"assigns":[41],"each":[43],"distance":[44,60],"cutoff":[45],"\u03b8":[46,62],"percentage":[48],"residues":[50,66],"can":[56],"be":[57],"superimposed":[58],"at":[59],"\u2264":[61],"from":[63],"corresponding":[65],"experimental":[69],"structure.":[70],"In":[71,88],"lieu":[72],"method":[75],"capable":[76,104],"computing":[78,106],"this":[79,89],"measure,":[80],"researchers":[81],"often":[82],"resort":[83],"its":[85],"approximation":[86],"GDTTS.":[87],"short":[90],"paper":[91],"we":[92],"present":[93],"first":[95],"theoretical":[96],"framework":[97],"for":[98],"development":[100],"an":[102],"algorithm":[103],"near-optimal":[107],"estimates":[108],"GDT":[114],"curve":[115],"polynomial":[121],"time.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
