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VASCo: computation and visualization of annotated protein surface contacts

BACKGROUND: Structural data from crystallographic analyses contain a vast amount of information on protein-protein contacts. Knowledge on protein-protein interactions is essential for understanding many processes in living cells. The methods to investigate these interactions range from genetics to b...

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Detalles Bibliográficos
Autores principales: Steinkellner, Georg, Rader, Robert, Thallinger, Gerhard G, Kratky, Christoph, Gruber, Karl
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2649047/
https://www.ncbi.nlm.nih.gov/pubmed/19166624
http://dx.doi.org/10.1186/1471-2105-10-32
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author Steinkellner, Georg
Rader, Robert
Thallinger, Gerhard G
Kratky, Christoph
Gruber, Karl
author_facet Steinkellner, Georg
Rader, Robert
Thallinger, Gerhard G
Kratky, Christoph
Gruber, Karl
author_sort Steinkellner, Georg
collection PubMed
description BACKGROUND: Structural data from crystallographic analyses contain a vast amount of information on protein-protein contacts. Knowledge on protein-protein interactions is essential for understanding many processes in living cells. The methods to investigate these interactions range from genetics to biophysics, crystallography, bioinformatics and computer modeling. Also crystal contact information can be useful to understand biologically relevant protein oligomerisation as they rely in principle on the same physico-chemical interaction forces. Visualization of crystal and biological contact data including different surface properties can help to analyse protein-protein interactions. RESULTS: VASCo is a program package for the calculation of protein surface properties and the visualization of annotated surfaces. Special emphasis is laid on protein-protein interactions, which are calculated based on surface point distances. The same approach is used to compare surfaces of two aligned molecules. Molecular properties such as electrostatic potential or hydrophobicity are mapped onto these surface points. Molecular surfaces and the corresponding properties are calculated using well established programs integrated into the package, as well as using custom developed programs. The modular package can easily be extended to include new properties for annotation. The output of the program is most conveniently displayed in PyMOL using a custom-made plug-in. CONCLUSION: VASCo supplements other available protein contact visualisation tools and provides additional information on biological interactions as well as on crystal contacts. The tool provides a unique feature to compare surfaces of two aligned molecules based on point distances and thereby facilitates the visualization and analysis of surface differences.
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spelling pubmed-26490472009-03-02 VASCo: computation and visualization of annotated protein surface contacts Steinkellner, Georg Rader, Robert Thallinger, Gerhard G Kratky, Christoph Gruber, Karl BMC Bioinformatics Software BACKGROUND: Structural data from crystallographic analyses contain a vast amount of information on protein-protein contacts. Knowledge on protein-protein interactions is essential for understanding many processes in living cells. The methods to investigate these interactions range from genetics to biophysics, crystallography, bioinformatics and computer modeling. Also crystal contact information can be useful to understand biologically relevant protein oligomerisation as they rely in principle on the same physico-chemical interaction forces. Visualization of crystal and biological contact data including different surface properties can help to analyse protein-protein interactions. RESULTS: VASCo is a program package for the calculation of protein surface properties and the visualization of annotated surfaces. Special emphasis is laid on protein-protein interactions, which are calculated based on surface point distances. The same approach is used to compare surfaces of two aligned molecules. Molecular properties such as electrostatic potential or hydrophobicity are mapped onto these surface points. Molecular surfaces and the corresponding properties are calculated using well established programs integrated into the package, as well as using custom developed programs. The modular package can easily be extended to include new properties for annotation. The output of the program is most conveniently displayed in PyMOL using a custom-made plug-in. CONCLUSION: VASCo supplements other available protein contact visualisation tools and provides additional information on biological interactions as well as on crystal contacts. The tool provides a unique feature to compare surfaces of two aligned molecules based on point distances and thereby facilitates the visualization and analysis of surface differences. BioMed Central 2009-01-24 /pmc/articles/PMC2649047/ /pubmed/19166624 http://dx.doi.org/10.1186/1471-2105-10-32 Text en Copyright © 2009 Steinkellner et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Steinkellner, Georg
Rader, Robert
Thallinger, Gerhard G
Kratky, Christoph
Gruber, Karl
VASCo: computation and visualization of annotated protein surface contacts
title VASCo: computation and visualization of annotated protein surface contacts
title_full VASCo: computation and visualization of annotated protein surface contacts
title_fullStr VASCo: computation and visualization of annotated protein surface contacts
title_full_unstemmed VASCo: computation and visualization of annotated protein surface contacts
title_short VASCo: computation and visualization of annotated protein surface contacts
title_sort vasco: computation and visualization of annotated protein surface contacts
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2649047/
https://www.ncbi.nlm.nih.gov/pubmed/19166624
http://dx.doi.org/10.1186/1471-2105-10-32
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