Challenges and Advances in Computational Chemistry and Physics, volume 31, pages 271-292

QM/MM Approaches Shed Light on GFP Puzzles

Publication typeBook Chapter
Publication date2020-10-28
Quartile SCImago
Quartile WOS
Impact factor
ISSN25424491, 25424483
Abstract
The green fluorescent proteinGreen Fluorescent Protein (GFP) (GFP) is one of the most important light-responsive biological systems. We describe applications of a particular QM/MM version based on the flexible effective fragment potentialEffective fragment potential theory to characterize the properties of this protein including transformations between different forms of GFPGreen Fluorescent Protein (GFP). We also show how the chemical reactions of chromophoreChromophore maturation in GFPGreen Fluorescent Protein (GFP) and the photochemical reactions leading to GFPGreen Fluorescent Protein (GFP) malfunction are characterized in QM/MM simulations.

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Citations by publishers

1
American Institute of Physics (AIP)
American Institute of Physics (AIP), 1, 33.33%
American Institute of Physics (AIP)
1 publication, 33.33%
Wiley
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1 publication, 33.33%
1
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Nemukhin A. V. et al. QM/MM Approaches Shed Light on GFP Puzzles // Challenges and Advances in Computational Chemistry and Physics. 2020. Vol. 31. pp. 271-292.
GOST all authors (up to 50) Copy
Nemukhin A. V., Grigorenko B. L. QM/MM Approaches Shed Light on GFP Puzzles // Challenges and Advances in Computational Chemistry and Physics. 2020. Vol. 31. pp. 271-292.
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RIS Copy
TY - GENERIC
DO - 10.1007/978-3-030-57721-6_6
UR - https://doi.org/10.1007%2F978-3-030-57721-6_6
TI - QM/MM Approaches Shed Light on GFP Puzzles
T2 - Challenges and Advances in Computational Chemistry and Physics
AU - Nemukhin, Alexander V
AU - Grigorenko, Bella L
PY - 2020
DA - 2020/10/28 00:00:00
PB - Springer Nature
SP - 271-292
VL - 31
SN - 2542-4491
SN - 2542-4483
ER -
BibTex
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BibTex Copy
@incollection{2020_Nemukhin,
author = {Alexander V Nemukhin and Bella L Grigorenko},
title = {QM/MM Approaches Shed Light on GFP Puzzles},
publisher = {Springer Nature},
year = {2020},
volume = {31},
pages = {271--292},
month = {oct}
}
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