Open Access
Open access
volume 1392 issue 1 pages 12049

3-D electronic density maps for enzyme reaction intermediates: Big data and high performance computing services in a virtualized environment

Publication typeJournal Article
Publication date2019-11-01
SJR0.187
CiteScore1.3
Impact factor
ISSN17426588, 17426596
General Physics and Astronomy
Abstract

Enzymatic reactions play key role in metabolism of all living organisms. Recent advances in computational methods allow detailed study of enzyme-catalyzed processes, providing data on all intermediate states along reaction path. Furthermore, experimental data on the structure of the reaction intermediates become more available due to advancing of ultrafast X-Ray spectroscopy. These data describes electronic density of intermediates, sometimes even in time series. Currently, prominent Protein Data Bank (PDB) keeps records on the raw crystallographic data on electron density, but usually describes only enzymes or enzymes-inhibitor complexes. A database service where the both experimental and simulated data can be stored and analyzed simultaneously will be a valuable scientific tool for bringing theory and experiment together.

There are hundreds of enzymes known and one should expect large volumes of data on three-dimensional property like electronic density. At the same time, quantum chemistry simulations of large biomolecules require extensive computing resources. Thus, we turned into service model using Nautilus environment of Cognitive Hardware And Software Ecosystem Community Infrastructure (CHASE-CI) project as a blueprint. In that environment, each participating organization can donate their hardware resources, like storage or compute elements, while retaining flexible access control to running services and datasets. We have installed and tested a small-scale environment prototype using resources of LCC laboratory at Chemistry Department Lomonosov Moscow State University, Joint Institute of Nuclear Research (Dubna) and RSC Group company (Moscow). As it was efficiently implemented in Sloan Digital Sky Survey (SDSS) project, we identified basic search queries and structured database accordingly.

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Brekhov A. et al. 3-D electronic density maps for enzyme reaction intermediates: Big data and high performance computing services in a virtualized environment // Journal of Physics: Conference Series. 2019. Vol. 1392. No. 1. p. 12049.
GOST all authors (up to 50) Copy
Brekhov A., Mironov V. A., Moskovsky A., Podgainiy D., Streltsova O., Delyakov D. 3-D electronic density maps for enzyme reaction intermediates: Big data and high performance computing services in a virtualized environment // Journal of Physics: Conference Series. 2019. Vol. 1392. No. 1. p. 12049.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1088/1742-6596/1392/1/012049
UR - https://iopscience.iop.org/article/10.1088/1742-6596/1392/1/012049
TI - 3-D electronic density maps for enzyme reaction intermediates: Big data and high performance computing services in a virtualized environment
T2 - Journal of Physics: Conference Series
AU - Brekhov, Anton
AU - Mironov, Vladimir A.
AU - Moskovsky, Alexander
AU - Podgainiy, Dmitry
AU - Streltsova, Oksana
AU - Delyakov, Dmitry
PY - 2019
DA - 2019/11/01
PB - IOP Publishing
SP - 12049
IS - 1
VL - 1392
SN - 1742-6588
SN - 1742-6596
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2019_Brekhov,
author = {Anton Brekhov and Vladimir A. Mironov and Alexander Moskovsky and Dmitry Podgainiy and Oksana Streltsova and Dmitry Delyakov},
title = {3-D electronic density maps for enzyme reaction intermediates: Big data and high performance computing services in a virtualized environment},
journal = {Journal of Physics: Conference Series},
year = {2019},
volume = {1392},
publisher = {IOP Publishing},
month = {nov},
url = {https://iopscience.iop.org/article/10.1088/1742-6596/1392/1/012049},
number = {1},
pages = {12049},
doi = {10.1088/1742-6596/1392/1/012049}
}
MLA
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MLA Copy
Brekhov, Anton, et al. “3-D electronic density maps for enzyme reaction intermediates: Big data and high performance computing services in a virtualized environment.” Journal of Physics: Conference Series, vol. 1392, no. 1, Nov. 2019, p. 12049. https://iopscience.iop.org/article/10.1088/1742-6596/1392/1/012049.