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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

  • Czech description

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

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

  • 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