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CAVER Analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories

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 f...

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Autores principales: Jurcik, Adam, Bednar, David, Byska, Jan, Marques, Sergio M, Furmanova, Katarina, Daniel, Lukas, Kokkonen, Piia, Brezovsky, Jan, Strnad, Ondrej, Stourac, Jan, Pavelka, Antonin, Manak, Martin, Damborsky, Jiri, Kozlikova, Barbora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6184705/
https://www.ncbi.nlm.nih.gov/pubmed/29741570
http://dx.doi.org/10.1093/bioinformatics/bty386
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author Jurcik, Adam
Bednar, David
Byska, Jan
Marques, Sergio M
Furmanova, Katarina
Daniel, Lukas
Kokkonen, Piia
Brezovsky, Jan
Strnad, Ondrej
Stourac, Jan
Pavelka, Antonin
Manak, Martin
Damborsky, Jiri
Kozlikova, Barbora
author_facet Jurcik, Adam
Bednar, David
Byska, Jan
Marques, Sergio M
Furmanova, Katarina
Daniel, Lukas
Kokkonen, Piia
Brezovsky, Jan
Strnad, Ondrej
Stourac, Jan
Pavelka, Antonin
Manak, Martin
Damborsky, Jiri
Kozlikova, Barbora
author_sort Jurcik, Adam
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-61847052018-10-18 CAVER Analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories Jurcik, Adam Bednar, David Byska, Jan Marques, Sergio M Furmanova, Katarina Daniel, Lukas Kokkonen, Piia Brezovsky, Jan Strnad, Ondrej Stourac, Jan Pavelka, Antonin Manak, Martin Damborsky, Jiri Kozlikova, Barbora Bioinformatics Applications Notes 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-10-15 2018-05-08 /pmc/articles/PMC6184705/ /pubmed/29741570 http://dx.doi.org/10.1093/bioinformatics/bty386 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Jurcik, Adam
Bednar, David
Byska, Jan
Marques, Sergio M
Furmanova, Katarina
Daniel, Lukas
Kokkonen, Piia
Brezovsky, Jan
Strnad, Ondrej
Stourac, Jan
Pavelka, Antonin
Manak, Martin
Damborsky, Jiri
Kozlikova, Barbora
CAVER Analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories
title CAVER Analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories
title_full CAVER Analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories
title_fullStr CAVER Analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories
title_full_unstemmed CAVER Analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories
title_short CAVER Analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories
title_sort caver analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6184705/
https://www.ncbi.nlm.nih.gov/pubmed/29741570
http://dx.doi.org/10.1093/bioinformatics/bty386
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