2017
DOI: 10.1039/c7cp05600a
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Conformational analysis of spiro-epoxides by principal component analysis of molecular dynamics trajectories

Abstract: A new procedure for full conformational analyses comprising the statistical analysis of molecular dynamics trajectories was developed and applied. This method included a coordinate space for sampling using molecular dynamics simulations, reduction of dimensionality using tensor decomposition tools, determination of probability distributions in a reduced space, and finally the search for all of the strict extrema points of probability distributions. These extracted extrema points formed an initial guess for geo… Show more

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Cited by 10 publications
(9 citation statements)
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“…First, a full conformational analysis for all compounds was performed. Conformers were determined by using the recently developed approach consisting of ab initio molecular dynamics and probability search in reduced space [23]. The example of conducted conformational analysis is presented on Figure 6.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…First, a full conformational analysis for all compounds was performed. Conformers were determined by using the recently developed approach consisting of ab initio molecular dynamics and probability search in reduced space [23]. The example of conducted conformational analysis is presented on Figure 6.…”
Section: Resultsmentioning
confidence: 99%
“…Conformational analysis for all compounds was performed by using the tensor decomposition of ab initio molecular dynamics trajectories using the previously published procedure [23]. Ab initio molecular dynamics were performed using on-the-fly calculations of forces in each point of the simulation and integration with the velocity Verlet algorithm.…”
Section: Methodsmentioning
confidence: 99%
“…A set of structures determined from probability distributions was used as an initial guess for the full conformational analysis. [31] All structures from the initial guess were optimized and subsequently clustered. Optimizations of these structures were performed using the B3LYP-D3 functional and 6-311++G(d,p) basis set.…”
Section: Methodsmentioning
confidence: 99%
“…PCA enables one to nd the best linear projections for a high dimensional set of data in the least-squares sense. Scores t i represent projections of the original points on the principal component (PC) direction and can be used for classication or building of probability distributions, 49 whereas loadings 56 represent the eigenvectors of data covariance (or correlation) matrix and can be used for the identication of variability among the data. 51 whereas the name was introduced by Hotelling.…”
Section: Chemometric Data Analysismentioning
confidence: 99%