TITLE

Mining Chromatographic Enantioseparation Data Using Matched Molecular Pair Analysis

AUTHOR(S)
Sheridan, Robert P.; Piras, Patrick; Sherer, Edward C.; Roussel, Christian; Pirkle, William H.; Welch, Christopher J.
PUB. DATE
October 2016
SOURCE
Molecules;Oct2016, Vol. 21 Issue 10, p1297
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
We apply matched molecular pair (MMP) analysis to data from ChirBase, which contains literature reports of chromatographic enantioseparations. For the 19 chiral stationary phases we examined, we were able to identify 289 sets of pairs where there is a statistically significant and consistent difference in enantioseparation due to a small chemical change. In many cases these changes highlight enantioselectivity differences between pairs or small families of closely related molecules that have for many years been used to probe the mechanisms of chromatographic chiral recognition; for example, the comparison of N-H vs. N-Me analytes to determine the criticality of an N-H hydrogen bond in chiral molecular recognition. In other cases, statistically significant MMPs surfaced by the analysis are less familiar or somewhat puzzling, sparking a need to generate and test hypotheses to more fully understand. Consequently, mining of appropriate datasets using MMP analysis provides an important new approach for studying and understanding the process of chromatographic enantioseparation.
ACCESSION #
118704203

 

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