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DockVis: Visual Analysis of Molecular Docking Trajectories

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00114201" target="_blank" >RIV/00216224:14330/20:00114201 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/20:00342316 RIV/00159816:_____/20:00073450

  • Result on the web

    <a href="http://onlinelibrary.wiley.com/doi/10.1111/cgf.14048" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1111/cgf.14048</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/cgf.14048" target="_blank" >10.1111/cgf.14048</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    DockVis: Visual Analysis of Molecular Docking Trajectories

  • Original language description

    Computation of trajectories for ligand binding and unbinding via protein tunnels and channels is important for predicting possible protein-ligand interactions. These highly complex processes can be simulated by several software tools, which provide biochemists with valuable information for drug design or protein engineering applications. This paper focuses on aiding this exploration process by introducing the DockVis visual analysis tool. DockVis operates with the multivariate output data from one of the latest available tools for the prediction of ligand transport, CaverDock. DockVis provides the users with several linked views, combining the 2D abstracted depictions of ligands and their surroundings and properties with the 3D view. In this way,we enable the users to perceive the spatial configurations of ligand passing through the protein tunnel. The users are initially visually directed to the most relevant parts of ligand trajectories, which can be then explored in higher detail by the follow-up analyses. DockVis was designed in tight collaboration with protein engineers developing the CaverDock tool. However, the concept of DockVis can be extended to any other tool predicting ligand pathways by the molecular docking. DockVis will be made available to the wide user community as part of the Caver Analyst 3.0 software package (www.caver.cz).

  • 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

    10200 - Computer and information sciences

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)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Computer Graphics Forum

  • ISSN

    0167-7055

  • e-ISSN

    1467-8659

  • Volume of the periodical

    39

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    13

  • Pages from-to

    452-464

  • UT code for WoS article

    000544268900001

  • EID of the result in the Scopus database

    2-s2.0-85087214556