{"id":"https://openalex.org/W2167091022","doi":"https://doi.org/10.1093/bioinformatics/bti786","title":"An efficient randomized algorithm for contact-based NMR backbone resonance assignment","display_name":"An efficient randomized algorithm for contact-based NMR backbone resonance assignment","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W2167091022","doi":"https://doi.org/10.1093/bioinformatics/bti786","mag":"2167091022","pmid":"https://pubmed.ncbi.nlm.nih.gov/16287932"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/bti786","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bti786","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"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/A5073963387","display_name":"Hetunandan Kamisetty","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hetunandan Kamisetty","raw_affiliation_strings":["Department of Computer Science, Purdue University 1 \u00a0 1 \u00a0 \u00a0 West Lafayette, IN 47907, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University 1 \u00a0 1 \u00a0 \u00a0 West Lafayette, IN 47907, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030579910","display_name":"Chris Bailey\u2010Kellogg","orcid":"https://orcid.org/0000-0003-1860-0912"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chris Bailey-Kellogg","raw_affiliation_strings":["Department of Computer Science, Dartmouth College 2 \u00a0 2 \u00a0 \u00a0 Hanover, NH 03755, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Dartmouth College 2 \u00a0 2 \u00a0 \u00a0 Hanover, NH 03755, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089574654","display_name":"Gopal Pandurangan","orcid":"https://orcid.org/0000-0001-5833-6592"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gopal Pandurangan","raw_affiliation_strings":["Department of Computer Science, Purdue University 1 \u00a0 1 \u00a0 \u00a0 West Lafayette, IN 47907, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University 1 \u00a0 1 \u00a0 \u00a0 West Lafayette, IN 47907, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030579910"],"corresponding_institution_ids":["https://openalex.org/I107672454"],"apc_list":{"value":3989,"currency":"USD","value_usd":3989},"apc_paid":null,"fwci":0.478,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.62705528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"2","first_page":"172","last_page":"180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.8449000120162964,"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":0.8449000120162964,"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/T11809","display_name":"Advanced NMR Techniques and Applications","score":0.09520000219345093,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.007699999958276749,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nuclear-overhauser-effect","display_name":"Nuclear Overhauser effect","score":0.5902718901634216},{"id":"https://openalex.org/keywords/two-dimensional-nuclear-magnetic-resonance-spectroscopy","display_name":"Two-dimensional nuclear magnetic resonance spectroscopy","score":0.5824926495552063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5311528444290161},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4775317907333374},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4506320655345917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38491082191467285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3715088963508606},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.36830052733421326},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance-spectroscopy","display_name":"Nuclear magnetic resonance spectroscopy","score":0.3304954767227173},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1739371418952942},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.14726954698562622}],"concepts":[{"id":"https://openalex.org/C119851462","wikidata":"https://www.wikidata.org/wiki/Q901095","display_name":"Nuclear Overhauser effect","level":3,"score":0.5902718901634216},{"id":"https://openalex.org/C19549132","wikidata":"https://www.wikidata.org/wiki/Q11141463","display_name":"Two-dimensional nuclear magnetic resonance spectroscopy","level":2,"score":0.5824926495552063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5311528444290161},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4775317907333374},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4506320655345917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38491082191467285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3715088963508606},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.36830052733421326},{"id":"https://openalex.org/C66974803","wikidata":"https://www.wikidata.org/wiki/Q10359898","display_name":"Nuclear magnetic resonance spectroscopy","level":2,"score":0.3304954767227173},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1739371418952942},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.14726954698562622},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008956","descriptor_name":"Models, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008956","descriptor_name":"Models, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008956","descriptor_name":"Models, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009682","descriptor_name":"Magnetic Resonance Spectroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009682","descriptor_name":"Magnetic Resonance Spectroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009682","descriptor_name":"Magnetic Resonance Spectroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017433","descriptor_name":"Protein Structure, Secondary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017433","descriptor_name":"Protein Structure, Secondary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017433","descriptor_name":"Protein Structure, Secondary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/bioinformatics/bti786","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bti786","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:16287932","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/16287932","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics (Oxford, England)","raw_type":"Evaluation Study"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.130.1711","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.1711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~hetu/pubs/bioinfo06.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1494878487","https://openalex.org/W1498615754","https://openalex.org/W1507046264","https://openalex.org/W1974718377","https://openalex.org/W1976625337","https://openalex.org/W2004354100","https://openalex.org/W2058473259","https://openalex.org/W2061496873","https://openalex.org/W2089653160","https://openalex.org/W2092544746","https://openalex.org/W2097247365","https://openalex.org/W2125976362","https://openalex.org/W2130274175","https://openalex.org/W2135307619","https://openalex.org/W2136112599","https://openalex.org/W2151542228","https://openalex.org/W2164596807","https://openalex.org/W2169462961","https://openalex.org/W2277964952","https://openalex.org/W2333830766","https://openalex.org/W2610652256","https://openalex.org/W2751862591","https://openalex.org/W4301441647","https://openalex.org/W4302328504"],"related_works":["https://openalex.org/W1973265599","https://openalex.org/W2032598710","https://openalex.org/W2090246676","https://openalex.org/W3150982967","https://openalex.org/W1599055883","https://openalex.org/W2054167298","https://openalex.org/W1999832360","https://openalex.org/W2326933693","https://openalex.org/W1992337407","https://openalex.org/W4376868985"],"abstract_inverted_index":{"MOTIVATION:":[0],"Backbone":[1],"resonance":[2,19],"assignment":[3,114],"is":[4,115,144,240,274],"a":[5,65,129,167,181,278],"critical":[6],"bottleneck":[7],"in":[8,64,180,223,231,247,298],"studies":[9,249],"of":[10,44,121,173,178,204,213,264,281,290],"protein":[11],"structure,":[12],"dynamics":[13],"and":[14,37,79,126,131,165,192,284],"interactions":[15],"by":[16,39,117,132,157,253,312],"nuclear":[17],"magnetic":[18],"(NMR)":[20],"spectroscopy.":[21],"A":[22],"minimalist":[23],"approach":[24,273],"to":[25,32,75,100,136,145,148,255,276,285],"assignment,":[26],"which":[27],"we":[28,216,259],"call":[29],"'contact-based',":[30],"seeks":[31],"dramatically":[33],"reduce":[34],"experimental":[35,101,214,269],"time":[36],"expense":[38],"replacing":[40],"the":[41,48,57,76,94,134,137,171,205,211,237,261,265,299,315],"standard":[42],"suite":[43],"through-bond":[45],"experiments":[46],"with":[47,67,195,250],"through-space":[49],"(nuclear":[50],"Overhauser":[51],"enhancement":[52],"spectroscopy,":[53],"NOESY)":[54],"experiment.":[55],"In":[56,209],"contact-based":[58],"approach,":[59],"spectral":[60,88,111],"data":[61],"are":[62,155],"represented":[63],"graph":[66,130,221,239],"vertices":[68,135],"for":[69,81,109,124,170,309],"putative":[70],"residues":[71,95],"(of":[72],"unknown":[73],"relation":[74],"primary":[77,138],"sequence)":[78],"edges":[80,105,122,179,283],"hypothesized":[82,108],"NOESY":[83,183],"interactions,":[84],"such":[85],"that":[86,201,225],"observed":[87],"peaks":[89],"could":[90],"be":[91,107,146,306],"explained":[92],"if":[93],"were":[96],"'close":[97],"enough'.":[98],"Due":[99],"ambiguity,":[102],"several":[103,268],"incorrect":[104],"can":[106,305],"each":[110],"peak.":[112],"An":[113],"derived":[116],"identifying":[118],"consistent":[119,176,288],"patterns":[120,151,177],"(e.g.":[123],"alpha-helices":[125],"beta-sheets)":[127],"within":[128],"mapping":[133],"sequence.":[139],"The":[140,303],"key":[141],"algorithmic":[142],"challenge":[143],"able":[147,275],"uncover":[149,286],"these":[150],"even":[152,235],"when":[153,236],"they":[154],"obscured":[156],"significant":[158],"noise.":[159,257],"RESULTS:":[160],"This":[161],"paper":[162],"develops,":[163],"analyzes":[164],"applies":[166],"novel":[168],"algorithm":[169,187,227,266,294],"identification":[172],"polytopes":[174,191],"representing":[175],"corrupted":[182,252],"graph.":[184],"Our":[185,272,293],"randomized":[186],"aggregates":[188],"simplices":[189],"into":[190],"fixes":[193],"inconsistencies":[194],"simple":[196],"local":[197],"modifications,":[198],"called":[199],"rotations,":[200],"maintain":[202],"most":[203],"structure":[206],"already":[207],"uncovered.":[208],"characterizing":[210],"effects":[212],"noise,":[215],"employ":[217],"an":[218],"NMR-specific":[219],"random":[220],"model":[222],"proving":[224],"our":[226],"gives":[228],"optimal":[229],"performance":[230],"expected":[232],"polynomial":[233],"time,":[234],"input":[238],"significantly":[241],"corrupted.":[242],"We":[243],"confirm":[244],"this":[245],"analysis":[246],"simulation":[248],"graphs":[251],"up":[254],"500%":[256],"Finally,":[258],"demonstrate":[260],"practical":[262],"application":[263],"on":[267],"beta-sheet":[270],"datasets.":[271],"eliminate":[277],"large":[279,287],"majority":[280],"noise":[282],"sets":[289],"interactions.":[291],"AVAILABILITY:":[292],"has":[295],"been":[296],"implemented":[297],"platform-independent":[300],"Python":[301],"code.":[302],"software":[304],"freely":[307],"obtained":[308],"academic":[310],"use":[311],"request":[313],"from":[314],"authors.":[316]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
