Ontology highlight
ABSTRACT:
SUBMITTER: Orlandi M
PROVIDER: S-EPMC5639935 | biostudies-literature | 2017 May
REPOSITORIES: biostudies-literature
Orlandi Manuel M Coelho Jaime A S JAS Hilton Margaret J MJ Toste F Dean FD Sigman Matthew S MS
Journal of the American Chemical Society 20170511 20
The use of computed interaction energies and distances as parameters in multivariate correlations is introduced for postulating non-covalent interactions. This new class of descriptors affords multivariate correlations for two diverse catalytic systems with unique non-covalent interactions at the heart of each process. The presented methodology is validated by directly connecting the non-covalent interactions defined through empirical data set analyses to the computationally derived transition s ...[more]