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1.
Biochemistry ; 51(41): 8050-2, 2012 Oct 16.
Artículo en Inglés | MEDLINE | ID: mdl-23020633

RESUMEN

KaiA protein that stimulates KaiC phosphorylation in the cyanobacterial circadian clock was recently shown to be destabilized by dibromothymoquinone (DBMIB), thus revealing KaiA as a sensor of the plastoquinone (PQ) redox state and suggesting an indirect control of the clock by light through PQ redox changes. Here we show using X-ray crystallography that several DBMIBs are bound to KaiA dimer. Some binding modes are consistent with oligomerization of N-terminal KaiA pseudoreceiver domains and/or reduced interdomain flexibility. DBMIB bound to the C-terminal KaiA (C-KaiA) domain and limited stimulation of KaiC kinase activity by C-KaiA in the presence of DBMIB demonstrate that the cofactor may weakly inhibit KaiA-KaiC binding.


Asunto(s)
Proteínas Bacterianas/química , Péptidos y Proteínas de Señalización del Ritmo Circadiano/química , Dibromotimoquinona/química , Secuencia de Aminoácidos , Cristalografía por Rayos X , Dimerización , Electroforesis en Gel de Poliacrilamida , Datos de Secuencia Molecular , Oxidación-Reducción , Fosforilación , Conformación Proteica
2.
J Neurosurg ; 123(3): 547-60, 2015 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-26115470

RESUMEN

OBJECT: Various bibliometric indices based on the citations accumulated by scholarly articles, including the h-index, g-index, e-index, and Google's i10-index, may be used to evaluate academic productivity in neurological surgery. The present article provides a comprehensive assessment of recent academic publishing output from 103 US neurosurgical residency programs and investigates intradepartmental publishing equality among faculty members. METHODS: Each institution was considered a single entity, with the 5-year academic yield of every neurosurgical faculty member compiled to compute the following indices: ih(5), cumulative h, ig(5), ie(5), and i10(5) (based on publications and citations from 2009 through 2013). Intradepartmental comparison of productivity among faculty members yielded Gini coefficients for publications and citations. National and regional comparisons, institutional rankings, and intradepartmental publishing equality measures are presented. RESULTS: The median numbers of departmental faculty, total publications and citations, ih(5), summed h, ig(5), ie(5), i10(5), and Gini coefficients for publications and citations were 13, 82, 716, 12, 144, 23, 16, 17, 0.57, and 0.71, respectively. The top 5 most academically productive neurosurgical programs based on ih(5)-index were University of California, San Francisco, University of California, Los Angeles, University of Pittsburgh, Brigham & Women's Hospital, and Johns Hopkins University. The Western US region was most academically productive and displayed greater intradepartmental publishing equality (median ih[5]-index = 18, median Ginipub = 0.56). In all regions, large departments with relative intradepartmental publishing equality tend to be the most academically productive. Multivariable logistic regression analysis identified the ih(5)-index as the only independent predictor of intradepartmental publishing equality (Ginipub ≤ 0.5 [OR 1.20, 95% CI 1.20-1.40, p = 0.03]). CONCLUSIONS: The ih(5)-index is a novel, simple, and intuitive metric capable of accurately comparing the recent scholarly efforts of neurosurgical programs and accurately predicting intradepartmental publication equality. The ih(5)-index is relatively insensitive to factors such as isolated highly productive and/or no longer academically active senior faculty, which tend to distort other bibliometric indices and mask the accurate identification of currently productive academic environments. Institutional ranking by ih(5)-index may provide information of use to faculty and trainee applicants, research funding institutions, program leaders, and other stakeholders.


Asunto(s)
Bibliometría , Internado y Residencia/estadística & datos numéricos , Neurocirugia/educación , Publicaciones/estadística & datos numéricos , Edición/estadística & datos numéricos , Eficiencia , Humanos , Estados Unidos
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