Exponential Repulsion Improves Structural Predictability of Molecular Docking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389030%3A_____%2F16%3A00467239" target="_blank" >RIV/61389030:_____/16:00467239 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/16:33160156
Result on the web
<a href="http://dx.doi.org/10.1002/jcc.24473" target="_blank" >http://dx.doi.org/10.1002/jcc.24473</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/jcc.24473" target="_blank" >10.1002/jcc.24473</a>
Alternative languages
Result language
angličtina
Original language name
Exponential Repulsion Improves Structural Predictability of Molecular Docking
Original language description
Molecular docking is a powerful tool for theoretical prediction of the preferred conformation and orientation of small molecules within protein active sites. The obtained poses can be used for estimation of binding energies, which indicate the inhibition effect of designed inhibitors, and therefore might be used for in silico drug design. However, the evaluation of ligand binding affinity critically depends on successful prediction of the native binding mode. Contemporary docking methods are often based on scoring functions derived from molecular mechanical potentials. In such potentials, nonbonded interactions are typically represented by electrostatic interactions between atom-centered partial charges and standard 6-12 Lennard-Jones potential. Here, we present implementation and testing of a scoring function based on more physically justified exponential repulsion instead of the standard Lennard-Jones potential. We found that this scoring function significantly improved prediction of the native binding modes in proteins bearing narrow active sites such as serine proteases and kinases.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CF - Physical chemistry and theoretical chemistry
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LO1305" target="_blank" >LO1305: Development of the center of advanced technologies and materials</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Computational Chemistry
ISSN
0192-8651
e-ISSN
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Volume of the periodical
37
Issue of the periodical within the volume
28
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
2485-2494
UT code for WoS article
000387484200001
EID of the result in the Scopus database
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