| Literature DB >> 28475315 |
Manuel Orlandi1, Jaime A S Coelho2, Margaret J Hilton1, F Dean Toste2, Matthew S Sigman1.
Abstract
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 states.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28475315 PMCID: PMC5639935 DOI: 10.1021/jacs.7b02311
Source DB: PubMed Journal: J Am Chem Soc ISSN: 0002-7863 Impact factor: 15.419