DockVis: Visual Analysis of Molecular Docking Trajectories
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/68407700:21230/20:00342316 RIV/00159816:_____/20:00073450
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
DockVis: Visual Analysis of Molecular Docking Trajectories
Popis výsledku v původním jazyce
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).
Název v anglickém jazyce
DockVis: Visual Analysis of Molecular Docking Trajectories
Popis výsledku anglicky
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).
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10200 - Computer and information sciences
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
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
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Computer Graphics Forum
ISSN
0167-7055
e-ISSN
1467-8659
Svazek periodika
39
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
13
Strana od-do
452-464
Kód UT WoS článku
000544268900001
EID výsledku v databázi Scopus
2-s2.0-85087214556