Literature DB >> 19719289

Polarization effects stabilize bacteriorhodopsin's chromophore binding pocket: a molecular dynamics study.

G Babitzki1, R Denschlag, P Tavan.   

Abstract

Hybrid methods, which combine a quantum mechanical description of a chromophore by density functional theory (DFT) with a molecular mechanics (MM) model of the surrounding protein binding pocket, can enable highly accurate computations of the chromophore's in situ vibrational spectra. As a prerequisite, one needs a MM model of the chromophore-protein complex, which allows a correct sampling of its room-temperature equilibrium fluctuations by molecular dynamics (MD) simulation. Here, we show for the case of bacteriorhodopsin (BR) that MM-MD descriptions with standard nonpolarizable force fields entail a collapse of the chromophore binding pocket. As demonstrated by us, this collapse can be avoided by employing a polarized MM force field derived by DFT/MM hybrid computations. The corresponding MD simulations, which are complemented by a novel Hamiltonian replica exchange approach, then reveal a structural heterogeneity within the binding pocket of the retinal chromophore, which mainly pertains to the structure of the lysine chain covalently connecting the retinal chromophore with the protein backbone.

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Year:  2009        PMID: 19719289     DOI: 10.1021/jp902428x

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  4 in total

1.  Density functional tight binding: values of semi-empirical methods in an ab initio era.

Authors:  Qiang Cui; Marcus Elstner
Journal:  Phys Chem Chem Phys       Date:  2014-07-28       Impact factor: 3.676

2.  X-ray structure analysis of bacteriorhodopsin at 1.3 Å resolution.

Authors:  Nagayuki Hasegawa; Hideyuki Jonotsuka; Kunio Miki; Kazuki Takeda
Journal:  Sci Rep       Date:  2018-09-03       Impact factor: 4.379

3.  Earliest Photic Zone Niches Probed by Ancestral Microbial Rhodopsins.

Authors:  Cathryn D Sephus; Evrim Fer; Amanda K Garcia; Zachary R Adam; Edward W Schwieterman; Betul Kacar
Journal:  Mol Biol Evol       Date:  2022-05-03       Impact factor: 8.800

4.  Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach.

Authors:  Masayuki Karasuyama; Keiichi Inoue; Ryoko Nakamura; Hideki Kandori; Ichiro Takeuchi
Journal:  Sci Rep       Date:  2018-10-22       Impact factor: 4.379

  4 in total

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