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Detalle de: FIREBALL/AMBER: An Efficient Local-Orbital DFT QM/MM Method for Biomolecular Systems

Title FIREBALL/AMBER: An Efficient Local-Orbital DFT QM/MM Method for Biomolecular Systems
Abstract

In recent years, quantum mechanics/molecular mechanics (QM/MM) methods have become an important computational tool for the study of chemical reactions and other processes in biomolecular systems. In the QM/MM technique, the active region is described by means of QM calculations, while the remainder of the system is described using a MM approach. Because of the complexity of biomolecules and the desire to achieve converged sampling, it is important that the QM method presents a good balance between accuracy and computational efficiency. Here, we report on the implementation of a QM/MM technique that combines a DFT approach specially designed for the study of complex systems using first-principles molecular dynamics simulations (fireball) with the amber force fields and simulation programs. We also present examples of the application of this QM/MM approach to three representative biomolecular systems: the analysis of the effect of electrostatic embedding in the behavior of a salt bridge between an aspartic acid and a lysine residue, a study of the intermediate states for the triosephosphate isomerase catalyzed conversion of dihydroxyacetone phosphate into glyceraldehyde 3-phosphate, and the detailed description, using DFT QM/MM molecular dynamics, of the cleavage of a phosphodiester bond in RNA catalyzed by the enzyme RNase A.

Apa Reference Mendieta-Moreno, J. I., Walker, R. C., Lewis, J. P., Gómez-Puertas, P., Mendieta, J., & Ortega, J. (2014). <scp>fireball</scp>/<scp>amber</scp>: An Efficient Local-Orbital DFT QM/MM Method for Biomolecular Systems. Journal of Chemical Theory and Computation, 10(5), 2185–2193. 10.1021/ct500033w
Doi 10.1021/ct500033w
Publication Date 2 May 2014
Publication Type Article
Researcher Paulino Gomez-Puertas
Ontology Computational models and simulations, Biomolecular simulation
Research Groups Molecular Modeling Group
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