2018
DOI: 10.1107/s2053273318004308
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A method to estimate statistical errors of properties derived from charge-density modelling

Abstract: Errors on molecular properties including the topology of electron density and electrostatics are estimated from a sample of deviating models generated using the variance–covariance matrix issued at the end of the charge-density refinement.

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Cited by 20 publications
(23 citation statements)
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“…[68] Atomic charges are often unreliable to be calculated and depend moreover on the charge definition. [69] An estimation of atomic charges uncertainty can be computed according to the sample standard deviation method described in Fournier et al [70]…”
Section: Methodsmentioning
confidence: 99%
“…[68] Atomic charges are often unreliable to be calculated and depend moreover on the charge definition. [69] An estimation of atomic charges uncertainty can be computed according to the sample standard deviation method described in Fournier et al [70]…”
Section: Methodsmentioning
confidence: 99%
“…[64] ESDs of the charge density properties were estimated by the recently published method. [65] Geometry, charge-density and electrostatic properties calculations were performed by MoPro; [59] molecular graphic were prepared using MoProViewer [66] and ORTEP-3. [67] Crystallographic and refinement data are shown in Table 5; additional details on refinement are deposited as Supporting Information.…”
Section: Experimental Preparationmentioning
confidence: 99%
“…0.04 e Å À3 (2%) in the electron density and to max. 0.42 e Å À5 (3%) in its Laplacian (Fournier et al, 2018). The error of the topological charge of heteroatoms reported is 0.03 e. However, this standard deviation estimate below 5% does not change the MM electron density topology in a qualitative way.…”
Section: Introductionmentioning
confidence: 78%
“…We will present the estimated errors (standard deviations) in the experimentally refined MM electron density topology in terms of contributions from the multipole populations as implemented in the XD package (Volkov et al, 2016). The error estimation in the MM-refined electron density has been considered in several studies (Grabowsky et al, 2008;Kamiń ski et al, 2014;Krause et al, 2017;Fournier et al, 2018). Most recently, a method which can be automatically used for the error estimation is given by Fournier (Fournier et al, 2018), as implemented in the MoPro package (Guillot et al, 2001;Jelsch et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
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