{"id":"https://openalex.org/W2747721423","doi":"https://doi.org/10.1145/3107411.3107504","title":"Gaussian Mixture Models with Constrained Flexibility for Fitting Tomographic Tilt Series","display_name":"Gaussian Mixture Models with Constrained Flexibility for Fitting Tomographic Tilt Series","publication_year":2017,"publication_date":"2017-08-20","ids":{"openalex":"https://openalex.org/W2747721423","doi":"https://doi.org/10.1145/3107411.3107504","mag":"2747721423"},"language":"en","primary_location":{"id":"doi:10.1145/3107411.3107504","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3107411.3107504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","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/A5079697685","display_name":"Kasra Manavi","orcid":null},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kasra Manavi","raw_affiliation_strings":["University of New Mexico, Albuquerque, NM, USA"],"affiliations":[{"raw_affiliation_string":"University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083075161","display_name":"Sahba Tashakkori","orcid":null},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahba Tashakkori","raw_affiliation_strings":["University of New Mexico, Albuquerque, NM, USA"],"affiliations":[{"raw_affiliation_string":"University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060753774","display_name":"Lydia Tapia","orcid":"https://orcid.org/0000-0002-7822-7091"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lydia Tapia","raw_affiliation_strings":["University of New Mexico, Albuquerque, NM, USA"],"affiliations":[{"raw_affiliation_string":"University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079697685"],"corresponding_institution_ids":["https://openalex.org/I169521973"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07647345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"710","last_page":"715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural 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/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural 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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/mixture-model","display_name":"Mixture model","score":0.8033870458602905},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6378691792488098},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6006880402565002},{"id":"https://openalex.org/keywords/tilt","display_name":"Tilt (camera)","score":0.5750048160552979},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5459014177322388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5428065061569214},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5331112146377563},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.509100615978241},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5080516338348389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4502061903476715},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.41632869839668274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4066806435585022},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22641479969024658},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1489817202091217},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12690475583076477},{"id":"https://openalex.org/keywords/computational-chemistry","display_name":"Computational chemistry","score":0.10082629323005676},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09252002835273743}],"concepts":[{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.8033870458602905},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6378691792488098},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6006880402565002},{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.5750048160552979},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5459014177322388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5428065061569214},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5331112146377563},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.509100615978241},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5080516338348389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4502061903476715},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.41632869839668274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4066806435585022},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22641479969024658},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1489817202091217},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12690475583076477},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.10082629323005676},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09252002835273743},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3107411.3107504","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3107411.3107504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1332508676","display_name":null,"funder_award_id":"P50GM085273","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7980607795","display_name":null,"funder_award_id":"CCF-1518861, IIS-1528047, IIS-1553266","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1977709050","https://openalex.org/W1994086483","https://openalex.org/W1994337497","https://openalex.org/W2000630778","https://openalex.org/W2004688934","https://openalex.org/W2007107624","https://openalex.org/W2011038859","https://openalex.org/W2030109606","https://openalex.org/W2035460215","https://openalex.org/W2036189137","https://openalex.org/W2042647843","https://openalex.org/W2051567790","https://openalex.org/W2086349695","https://openalex.org/W2086742633","https://openalex.org/W2094602405","https://openalex.org/W2097296296","https://openalex.org/W2104234755","https://openalex.org/W2116340182","https://openalex.org/W2123176293","https://openalex.org/W2132629607","https://openalex.org/W2133442602","https://openalex.org/W2170693976","https://openalex.org/W2265060724","https://openalex.org/W2279722447","https://openalex.org/W2293760838","https://openalex.org/W2315703236","https://openalex.org/W2473416993"],"related_works":["https://openalex.org/W2083852311","https://openalex.org/W2391384635","https://openalex.org/W2011148146","https://openalex.org/W2070343330","https://openalex.org/W2348773364","https://openalex.org/W4400047882","https://openalex.org/W3081817074","https://openalex.org/W2115779117","https://openalex.org/W1578916557","https://openalex.org/W1996547193"],"abstract_inverted_index":{"Electron":[0],"Microscopy":[1],"(EM)":[2],"has":[3],"become":[4],"an":[5,108],"invaluable":[6],"part":[7],"of":[8,15,103,111,117,120,128,138,145,159,163],"modern":[9],"structural":[10,35],"biology.":[11],"As":[12],"the":[13,86,104,139],"limits":[14],"EM":[16,54],"techniques":[17],"are":[18,81,93],"explored,":[19],"issues":[20],"arise":[21],"with":[22,70],"model":[23,46,87,137],"reconstruction":[24],"and":[25,47,73],"fitting,":[26],"especially":[27],"at":[28,125],"resolutions":[29],"lower":[30],"than":[31],"10":[32],"\\AA":[33],"~where":[34],"detail":[36],"is":[37],"lost.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,60],"introduce":[43],"methods":[44],"to":[45,66,83,99,142],"fit":[48],"molecular":[49,68,88],"structures":[50,162],"into":[51,95],"low":[52],"resolution":[53],"datasets":[55],"(20-40":[56],"A~":[57],"resolution).":[58],"First,":[59],"use":[61],"Gaussian":[62],"Mixture":[63],"Models":[64],"(GMMs)":[65],"describe":[67,85],"systems":[69],"high":[71],"flexibility":[72],"enable":[74],"efficient":[75],"conformation":[76,102],"sampling.":[77],"Then,":[78],"GMM":[79,105],"parameters":[80],"optimized":[82],"best":[84],"structure.":[89],"Finally,":[90],"these":[91],"GMMs":[92],"placed":[94],"a":[96,101,115,121,126,136,143],"fitting":[97,135],"procedure":[98],"generate":[100],"that":[106],"fits":[107],"input":[109],"set":[110,116],"tilt":[112,148],"series":[113],"tomograms,":[114],"2D":[118],"images":[119],"3D":[122],"molecule":[123],"taken":[124],"variety":[127,144],"angles.":[129],"We":[130],"evaluate":[131],"our":[132],"method":[133],"by":[134],"IgE-Fc$\\epsilon$RI":[140],"complex":[141],"simulated":[146],"single":[147],"axis":[149],"datasets.":[150],"This":[151],"work":[152],"was":[153],"done":[154],"in":[155],"preparation":[156],"for":[157],"analysis":[158],"larger":[160],"aggregate":[161],"IgE.":[164]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}