Detailed Information on Publication Record
2024
InVADo: Interactive Visual Analysis of Molecular Docking Data
SCHÄFER, Marco, Nicolas BRICH, Jan BYŠKA, Sérgio Manuel MARQUES, David BEDNÁŘ et. al.Basic information
Original name
InVADo: Interactive Visual Analysis of Molecular Docking Data
Authors
SCHÄFER, Marco (276 Germany), Nicolas BRICH (276 Germany), Jan BYŠKA (203 Czech Republic, belonging to the institution), Sérgio Manuel MARQUES (620 Portugal, belonging to the institution), David BEDNÁŘ (203 Czech Republic, belonging to the institution), Philipp THIEL (276 Germany), Barbora KOZLÍKOVÁ (203 Czech Republic, belonging to the institution) and Michael KRONE (276 Germany, guarantor)
Edition
IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Society, 2024, 1077-2626
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 5.200 in 2022
Organization unit
Faculty of Informatics
UT WoS
001173975500011
Keywords in English
proteins; drugs; visualization; data visualization; three-dimensional displays; receptor (biochemistry); carbon
Tags
International impact, Reviewed
Změněno: 25/3/2024 11:40, Mgr. Marie Šípková, DiS.
Abstract
V originále
Molecular docking is a key technique in various fields like structural biology, medicinal chemistry, and biotechnology. It is widely used for virtual screening during drug discovery, computer-assisted drug design, and protein engineering. A general molecular docking process consists of the protein and ligand selection, their preparation, and the docking process itself, followed by the evaluation of the results. However, the most commonly used docking software provides no or very basic evaluation possibilities. Scripting and external molecular viewers are often used, which are not designed for an efficient analysis of docking results. Therefore, we developed InVADo, a comprehensive interactive visual analysis tool for large docking data. It consists of multiple linked 2D and 3D views. It filters and spatially clusters the data, and enriches it with post-docking analysis results of interactions and functional groups, to enable well-founded decision-making. In an exemplary case study, domain experts confirmed that InVADo facilitates and accelerates the analysis workflow. They rated it as a convenient, comprehensive, and feature-rich tool, especially useful for virtual screening. Like what
Links
LM2018121, research and development project |
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LM2018131, research and development project |
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LM2018140, research and development project |
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LX22NPO5102, research and development project |
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