Detailed Information on Publication Record
2017
Watergate: Visual Exploration of Water Trajectories in Protein Dynamics
VAD, Viktor, Jan BYŠKA, Adam JURČÍK, Ivan VIOLA, Eduard M. GRÖLLER et. al.Basic information
Original name
Watergate: Visual Exploration of Water Trajectories in Protein Dynamics
Authors
VAD, Viktor (348 Hungary), Jan BYŠKA (203 Czech Republic), Adam JURČÍK (203 Czech Republic, belonging to the institution), Ivan VIOLA (703 Slovakia), Eduard M. GRÖLLER (40 Austria), Helwig HAUSER (40 Austria), Sérgio Manuel MARQUES (620 Portugal, belonging to the institution), Jiří DAMBORSKÝ (203 Czech Republic, belonging to the institution) and Barbora KOZLÍKOVÁ (203 Czech Republic, guarantor, belonging to the institution)
Edition
Bremen, Germany, Eurographics Workshop on Visual Computing for Biology and Medicine, p. 33-42, 10 pp. 2017
Publisher
Eurographics Workshop on Visual Computing for Biology and Medicine
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
RIV identification code
RIV/00216224:14330/17:00094923
Organization unit
Faculty of Informatics
ISBN
978-3-03868-036-9
Keywords in English
Protein;water molecule;trajectory;visualization
Tags
International impact, Reviewed
Změněno: 26/4/2018 12:43, doc. RNDr. Barbora Kozlíková, Ph.D.
Abstract
V originále
The function of proteins is tightly related to their interactions with other molecules. The study of such interactions often requires to track the molecules that enter or exit specific regions of the proteins. This is investigated with molecular dynamics simulations, producing the trajectories of thousands of water molecules during hundreds of thousands of time steps. To ease the exploration of such rich spatio-temporal data, we propose a novel workflow for the analysis and visualization of large sets of water-molecule trajectories. Our solution consists of a set of visualization techniques, which help biochemists to classify, cluster, and filter the trajectories and to explore the properties and behavior of selected subsets in detail. Initially, we use an interactive histogram and a time-line visualization to give an overview of all water trajectories and select the interesting ones for further investigation. Further, we depict clusters of trajectories in a novel 2D representation illustrating the flows of water molecules. These views are interactively linked with a 3D representation where we show individual paths, including their simplification, as well as extracted statistical information displayed by isosurfaces. The proposed solution has been designed in tight collaboration with experts to support specific tasks in their scientific workflows. They also conducted several case studies to evaluate the usability and effectiveness of our new solution with respect to their research scenarios. These confirmed that our proposed solution helps in analyzing water trajectories and in extracting the essential information out of the large amount of input data.
Links
GA16-07965S, research and development project |
| ||
LM2015047, research and development project |
| ||
LM2015051, research and development project |
| ||
LM2015055, research and development project |
| ||
LO1214, research and development project |
|