Detailed Information on Publication Record
2013
How to understand quantum chemical computations on DNA and RNA systems? A practical guide for non-specialists
ŠPONER, Jiří, Judit ŠPONEROVÁ, Arnošt MLÁDEK, Pavel BANÁŠ, Petr JURECKA et. al.Basic information
Original name
How to understand quantum chemical computations on DNA and RNA systems? A practical guide for non-specialists
Authors
ŠPONER, Jiří (203 Czech Republic, guarantor, belonging to the institution), Judit ŠPONEROVÁ (348 Hungary, belonging to the institution), Arnošt MLÁDEK (203 Czech Republic, belonging to the institution), Pavel BANÁŠ (203 Czech Republic), Petr JURECKA (203 Czech Republic) and Michal OTYEPKA (203 Czech Republic)
Edition
Methods, SAN DIEGO, ACADEMIC PRESS INC ELSEVIER SCIENCE, 2013, 1046-2023
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10600 1.6 Biological sciences
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 3.221
RIV identification code
RIV/00216224:14740/13:00072151
Organization unit
Central European Institute of Technology
UT WoS
000326430100002
Keywords in English
DNA structure; Quantum chemistry; Molecular mechanics; Molecular structures and energies
Tags
International impact, Reviewed
Změněno: 15/2/2014 17:53, Olga Křížová
Abstract
V originále
In this review primarily written for non-experts we explain basic methodological aspects and interpretation of modern quantum chemical (QM) computations applied to nucleic acids. We introduce current reference QM computations on small model systems consisting of dozens of atoms. Then we comment on recent advance of fast and accurate dispersion-corrected density functional theory methods, which will allow computations of small but complete nucleic acids building blocks in the near future. The qualitative difference between QM and molecular mechanics (MM, force field) computations is discussed. We also explain relation of QM and molecular simulation computations to experiments. (C) 2013 Elsevier Inc. All rights reserved.
Links
ED1.1.00/02.0068, research and development project |
|