| JURČÍK, Adam, David BEDNÁŘ, Jan BYŠKA, Sérgio Manuel MARQUES, Katarína FURMANOVÁ, Lukáš DANIEL, Piia Pauliina KOKKONEN, Jan BREZOVSKÝ, Ondřej STRNAD, Jan ŠTOURAČ, Antonín PAVELKA, Martin MANAK, Jiří DAMBORSKÝ and Barbora KOZLÍKOVÁ. CAVER Analyst 2.0: Analysis and Visualization of Channels and Tunnels in Protein Structures and Molecular Dynamics Trajectories. Bioinformatics. 2018, vol. 34, No 20, p. 3586-3588. ISSN 1367-4803. Available from: https://dx.doi.org/10.1093/bioinformatics/bty386. |
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@article{1418320,
author = {Jurčík, Adam and Bednář, David and Byška, Jan and Marques, Sérgio Manuel and Furmanová, Katarína and Daniel, Lukáš and Kokkonen, Piia Pauliina and Brezovský, Jan and Strnad, Ondřej and Štourač, Jan and Pavelka, Antonín and Manak, Martin and Damborský, Jiří and Kozlíková, Barbora},
article_number = {20},
doi = {http://dx.doi.org/10.1093/bioinformatics/bty386},
keywords = {protein;tunnel;software;visualization},
language = {eng},
issn = {1367-4803},
journal = {Bioinformatics},
title = {CAVER Analyst 2.0: Analysis and Visualization of Channels and Tunnels in Protein Structures and Molecular Dynamics Trajectories},
url = {http://dx.doi.org/10.1093/bioinformatics/bty386},
volume = {34},
year = {2018}
}
TY - JOUR
ID - 1418320
AU - Jurčík, Adam - Bednář, David - Byška, Jan - Marques, Sérgio Manuel - Furmanová, Katarína - Daniel, Lukáš - Kokkonen, Piia Pauliina - Brezovský, Jan - Strnad, Ondřej - Štourač, Jan - Pavelka, Antonín - Manak, Martin - Damborský, Jiří - Kozlíková, Barbora
PY - 2018
TI - CAVER Analyst 2.0: Analysis and Visualization of Channels and Tunnels in Protein Structures and Molecular Dynamics Trajectories
JF - Bioinformatics
VL - 34
IS - 20
SP - 3586-3588
EP - 3586-3588
SN - 13674803
KW - protein;tunnel;software;visualization
UR - http://dx.doi.org/10.1093/bioinformatics/bty386
N2 - 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.
ER -
JURČÍK, Adam, David BEDNÁŘ, Jan BYŠKA, Sérgio Manuel MARQUES, Katarína FURMANOVÁ, Lukáš DANIEL, Piia Pauliina KOKKONEN, Jan BREZOVSKÝ, Ondřej STRNAD, Jan ŠTOURAČ, Antonín PAVELKA, Martin MANAK, Jiří DAMBORSKÝ and Barbora KOZLÍKOVÁ. CAVER Analyst 2.0: Analysis and Visualization of Channels and Tunnels in Protein Structures and Molecular Dynamics Trajectories. \textit{Bioinformatics}. 2018, vol.~34, No~20, p.~3586-3588. ISSN~1367-4803. Available from: https://dx.doi.org/10.1093/bioinformatics/bty386.
|
