Journal
JOURNAL OF COMPUTATIONAL CHEMISTRY
Volume 43, Issue 11, Pages 746-756Publisher
WILEY
DOI: 10.1002/jcc.26830
Keywords
QM; MM; link bonds; ab-initio methods; density functional tight binding; semi-empirical; amyloid
Categories
Ask authors/readers for more resources
Optimized link bond parameters for the C-alpha-C-beta bond have been determined and compared to reference data. The results suggest that the optimized parameters are more suitable for QM/MM link bonds compared to a single global setting, and virtually identical parameters were obtained in calculations using different levels of theory. The provided collection of link atoms parameters is valuable for QM/MM studies of biomacromolecules.
Optimized link bond parameters for the C-alpha-C-beta bond of 22 different capped amino acid model systems have been determined at SCC DFTB/mio (self-consistent charge density functional tight-binding), SCC DFTB/3ob and GFNn-xTB (n = 0, 1, and 2) level in conjunction with the AMBER 99SB, 14SB, and 19B force fields. The resulting parameter sets have been compared to newly calculated reference data obtained via resolution-of-identity 2nd order Moller-Plesset perturbation theory. The data collected in this work suggests that the optimized values in this study provide a more suitable setup of the QM/MM link bonds compared to the use of a single global setting applied to every amino acid fragmented by the QM/MM interface. The results also imply that a transfer of the ideal link bond settings between different levels of theory is not advised. In contrast, virtually identical parameters were obtained in calculations employing different variants of the AMBER force field. Considering the increasing success of tight binding based approaches being inter alia a results of their exceptional accuracy/effort ratio the provided collection of link atoms parameters provides a valuable resource for QM/MM studies of biomacromolecular systems as demonstrated in an exemplary QM/MM MD simulation of the beta-amyloid/Zn2+ complex.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available