Detailed Information on Publication Record
2018
CAVER Analyst 2.0: Analysis and Visualization of Channels and Tunnels in Protein Structures and Molecular Dynamics Trajectories
JURČÍK, Adam, David BEDNÁŘ, Jan BYŠKA, Sérgio Manuel MARQUES, Katarína FURMANOVÁ et. al.Basic information
Original name
CAVER Analyst 2.0: Analysis and Visualization of Channels and Tunnels in Protein Structures and Molecular Dynamics Trajectories
Authors
JURČÍK, Adam (203 Czech Republic, belonging to the institution), David BEDNÁŘ (203 Czech Republic, belonging to the institution), Jan BYŠKA (203 Czech Republic), Sérgio Manuel MARQUES (620 Portugal, belonging to the institution), Katarína FURMANOVÁ (703 Slovakia, belonging to the institution), Lukáš DANIEL (203 Czech Republic, belonging to the institution), Piia Pauliina KOKKONEN (246 Finland, belonging to the institution), Jan BREZOVSKÝ (203 Czech Republic, belonging to the institution), Ondřej STRNAD (203 Czech Republic, belonging to the institution), Jan ŠTOURAČ (203 Czech Republic, belonging to the institution), Antonín PAVELKA (203 Czech Republic, belonging to the institution), Martin MANAK (203 Czech Republic), Jiří DAMBORSKÝ (203 Czech Republic, belonging to the institution) and Barbora KOZLÍKOVÁ (203 Czech Republic, guarantor, belonging to the institution)
Edition
Bioinformatics, 2018, 1367-4803
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.531
RIV identification code
RIV/00216224:14330/18:00100952
Organization unit
Faculty of Informatics
UT WoS
000448782100024
Keywords in English
protein;tunnel;software;visualization
Tags
International impact, Reviewed
Změněno: 31/5/2022 17:34, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Motivation: Studying the transport paths of ligands, solvents, or ions in transmembrane proteins and proteins with buried binding sites is fundamental to the understanding of their biological function. A detailed analysis of the structural features influencing the transport paths is also important for engineering proteins for biomedical and biotechnological applications. Results: CAVER Analyst 2.0 is a software tool for quantitative analysis and real-time visualization of tunnels and channels in static and dynamic structures. This version provides the users with many new functions, including advanced techniques for intuitive visual inspection of the spatiotemporal behavior of tunnels and channels. Novel integrated algorithms allow an efficient analysis and data reduction in large protein structures and molecular dynamic simulations. Availability and implementation: CAVER Analyst 2.0 is a multi-platform standalone Java-based application. Binaries and documentation are freely available at www.caver.cz.
Links
| GA16-06096S, research and development project |
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| GA17-07690S, research and development project |
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| LM2015047, research and development project |
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| LM2015055, research and development project |
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| LO1214, research and development project |
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