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Visualization of Large Molecular Trajectories

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00107176" target="_blank" >RIV/00216224:14330/19:00107176 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/TVCG.2018.2864851" target="_blank" >http://dx.doi.org/10.1109/TVCG.2018.2864851</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TVCG.2018.2864851" target="_blank" >10.1109/TVCG.2018.2864851</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Visualization of Large Molecular Trajectories

  • Original language description

    The analysis of protein-ligand interactions is a time-intensive task. Researchers have to analyze multiple physico-chemical properties of the protein at once and combine them to derive conclusions about the protein-ligand interplay. Typically, several charts are inspected, and 3D animations can be played side-by-side to obtain a deeper understanding of the data. With the advances in simulation techniques, larger and larger datasets are available, with up to hundreds of thousands of steps. Unfortunately, such large trajectories are very difficult to investigate with traditional approaches. Therefore, the need for special tools that facilitate inspection of these large trajectories becomes substantial. In this paper, we present a novel system for visual exploration of very large trajectories in an interactive and user-friendly way. Several visualization motifs are automatically derived from the data to give the user the information about interactions between protein and ligand. Our system offers specialized widgets to ease and accelerate data inspection and navigation to interesting parts of the simulation. The system is suitable also for simulations where multiple ligands are involved. We have tested the usefulness of our tool on a set of datasets obtained from protein engineers, and we describe the expert feedback.

  • 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

    <a href="/en/project/GC18-18647J" target="_blank" >GC18-18647J: Visual Analysis of Protein-Ligand Interactions</a><br>

  • 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

    IEEE Transactions on Visualization and Computer Graphics

  • ISSN

    1077-2626

  • e-ISSN

    1941-0506

  • Volume of the periodical

    25

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    10

  • Pages from-to

    987-996

  • UT code for WoS article

    000452640000094

  • EID of the result in the Scopus database

    2-s2.0-85053116654