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Quantitative Assessment of Electrostatic Embedding in Density Functional Theory Calculations of Biomolecular Systems
Author(s) -
JeanLuc Fattebert,
Richard Law,
Brian J. Bennion,
Edmond Y. Lau,
Eric Schwegler,
Felice C. Lightstone
Publication year - 2009
Publication title -
journal of chemical theory and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.001
H-Index - 185
eISSN - 1549-9626
pISSN - 1549-9618
DOI - 10.1021/ct900209y
Subject(s) - embedding , simple (philosophy) , gaussian , density functional theory , statistical physics , discretization , electrostatics , scheme (mathematics) , partial charge , charge (physics) , physics , computer science , quantum mechanics , mathematics , mathematical analysis , artificial intelligence , philosophy , epistemology
We evaluate the accuracy of density functional theory quantum calculations of biomolecular subsystems using a simple electrostatic embedding scheme. Our scheme is based on dividing the system of interest into a primary and secondary subsystem. A finite difference discretization of the Kohn-Sham equations is used for the primary subsystem, while its electrostatic environment is modeled with a simple one-electron potential. Force-field atomic partial charges are used to generate smeared Gaussian charge densities and to model the secondary subsystem. We illustrate the utility of this approach with calculations of truncated dipeptide chains. We analyze quantitatively the accuracy of this approach by calculating atomic forces and comparing results with full QM calculations. The impact of the choice made in terminating dangling bonds at the frontier of the QM region is also investigated.

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