CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/00216224:14310/19:00110114
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels
Popis výsledku v původním jazyce
Motivation: Protein tunnels and channels are key transport pathways that allow ligands to pass between proteins' 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'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.
Název v anglickém jazyce
CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels
Popis výsledku anglicky
Motivation: Protein tunnels and channels are key transport pathways that allow ligands to pass between proteins' 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'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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10608 - Biochemistry and molecular biology
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)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Bioinformatics
ISSN
1367-4803
e-ISSN
—
Svazek periodika
35
Číslo periodika v rámci svazku
23
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
8
Strana od-do
4986-4993
Kód UT WoS článku
000506808900016
EID výsledku v databázi Scopus
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