A multicore QM/MM approach for the geometry optimization of chromophore aggregate in protein

2008 Wiley Periodicals, Inc.

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 30(2009), 8 vom: 20. Juni, Seite 1351-9
1. Verfasser: Kiyota, Yasuomi (VerfasserIn)
Weitere Verfasser: Hasegawa, Jun-ya, Fujimoto, Kazuhiro, Swerts, Ben, Nakatsuji, Hiroshi
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2009
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Proteins
Beschreibung
Zusammenfassung:2008 Wiley Periodicals, Inc.
In this article, we present the multicore (mc) QM/MM method, a QM/MM method that can optimize the structure of chromophore aggregate in protein. A QM region is composed of the sum of the QM subregions that are small enough to apply practical electronic structure calculations. QM/MM energy gradient calculations are performed for each QM subregion. Several benchmark examinations were carried out to figure out availabilities and limitations. In the interregion distances of more than 3.5-4.0 A, the mcQM/MM energy gradient is very close to that obtained by the ordinary QM/MM method in which all the QM subregions were treated together as a single QM region. In van der Waals complex, the error exponentially drops with the distance, while the error decreases slowly in a hydrogen bonding complex. On the other hand, the optimized structures were reproduced with reasonable accuracy in both cases. The computational efficiency is the best advantage in the mcQM/MM approach, especially when the QM region is significantly large and the QM method used is computationally demanding. With this approach, we could optimize the structures of a bacterial photosynthetic reaction center protein in the ground and excited states, which consists of more than 14,000 atoms
Beschreibung:Date Completed 14.07.2009
Date Revised 07.04.2009
published: Print
Citation Status MEDLINE
ISSN:1096-987X
DOI:10.1002/jcc.21156