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CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F19%3A00072473" target="_blank" >RIV/00159816:_____/19:00072473 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14310/19:00110114

  • Result on the web

    <a href="https://academic.oup.com/bioinformatics/article-abstract/35/23/4986/5488163?redirectedFrom=fulltext" target="_blank" >https://academic.oup.com/bioinformatics/article-abstract/35/23/4986/5488163?redirectedFrom=fulltext</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/bioinformatics/btz386" target="_blank" >10.1093/bioinformatics/btz386</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels

  • Original language description

    Motivation: Protein tunnels and channels are key transport pathways that allow ligands to pass between proteins&apos; external and internal environments. These functionally important structural features warrant detailed attention. It is difficult to study the ligand binding and unbinding processes experimentally, while molecular dynamics simulations can be time-consuming and computationally demanding. Results: CaverDock is a new software tool for analysing the ligand passage through the biomolecules. The method uses the optimized docking algorithm of AutoDock Vina for ligand placement docking and implements a parallel heuristic algorithm to search the space of possible trajectories. The duration of the simulations takes from minutes to a few hours. Here we describe the implementation of the method and demonstrate CaverDock&apos;s usability by: (i) comparison of the results with other available tools, (ii) determination of the robustness with large ensembles of ligands and (iii) the analysis and comparison of the ligand trajectories in engineered tunnels. Thorough testing confirms that CaverDock is applicable for the fast analysis of ligand binding and unbinding in fundamental enzymology and protein engineering.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Bioinformatics

  • ISSN

    1367-4803

  • e-ISSN

  • Volume of the periodical

    35

  • Issue of the periodical within the volume

    23

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    8

  • Pages from-to

    4986-4993

  • UT code for WoS article

    000506808900016

  • EID of the result in the Scopus database