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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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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. |
format | Online Article Text |
id | pubmed-6184705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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