A new version of RINalyzer for Cytoscape 3.x is released.
RINalyzer has been greatly extended with new functionality and is now using the structureViz2 app to interact with UCSF Chimera. For a brief introduction of the new features click here. The RINalyzer app is now available for download here and the structureViz app here. All requirements and installation instructions are available here.
A new version of RINerator is released.
In particular, it computes conservation scores from a user-specified multiple sequence alignment, retrieves biochemical amino acid properties from external resources, and generates RINs compatible with Cytoscape 3.x and RINalyzer 2.x. For more information, see the RINerator webpage.
RINalyzer provides a number of important methods for analyzing and visualizing residue interaction networks (RINs). A RIN is constructed from the three-dimensional structure of a protein as stored in PDB files from the Protein Data Bank. Network nodes and edges represent amino acid residues and their molecular interactions, respectively. The network topology of RINs is normally characterized by undirected and weighted interaction edges between residue nodes. RINalyzer is a Java plugin for Cytoscape, a free software platform for the analysis and visualization of molecular interaction networks.
RINalyzer allows simultaneous, interactive 2D visualization and exploration of a RIN in Cytoscape, together with the corresponding molecular 3D structure visualized in UCSF Chimera. Furthermore, RINalyzer offers the computation and illustration of a comprehensive set of weighted centrality measures for relating spatially distant residue nodes and discovering critical residues and their long-range interaction paths in protein structures. Another feature is the network comparison of aligned protein structures by constructing a combined RIN, which enables the detailed comparative analysis of residue interactions in different proteins. In addition, RINalyzer supports the interactive exploration by providing easy-to-use filters and the generation of subnetworks and aggregated networks. A list of all main features of RINalyzer as well as an overview screenshot can be found here.
RINalyzer is complemented by the RINerator module, which generates user-defined RINs from a 3D protein structure. In contrast to previous simplistic interaction definition approaches based on spatial atomic distance between residues, RINerator enables a more realistic representation by considering different biochemical interaction types and even quantifying the strength of individual interactions.
Since version 2.0 RINalyzer is using the structureViz2 app to interact with UCSF Chimera and both apps complement each other.
A detailed documentation as well as storage and format specifications can be found here.
Doncheva, N.T., Klein, K., Domingues, F.S., Albrecht, M. (2011)
Analyzing and visualizing residue networks of protein structures.
Trends in Biochemical Sciences, 36(4):179-182, doi:10.1016/j.tibs.2011.01.002.
Doncheva, N.T., Assenov, Y., Domingues, F.S., Albrecht, M. (2012)
Topological analysis and interactive visualization of biological networks and protein structures.
Nature Protocols, 7:670-685, doi:10.1038/nprot.2012.004.
Doncheva, N.T., Klein, K., Morris, J.H., Wybrow, M., Domingues, F.S., and Albrecht, M.
Integrative visual analysis of protein sequence mutations.
BMC Proceedings, (submitted).
Release 2.0 (June 2014) is verified to work with Cytoscape 3.1.x and UCSF Chimera 1.8.1 (and above).
Release 1.3 (November 2011) is verified to work with Cytoscape 2.8.x and UCSF Chimera 1.5.x.
Release 1.2 (January 2011) is verified to work with Cytoscape 2.8.0 and the newest version of UCSF Chimera 1.5.
Release 1.1 (September 2010) is verified to work with Cytoscape 2.7.0 and UCSF Chimera 1.2, 1.3, 1.4.
Release 1.0 (September 2010) is verified to work with Cytoscape 2.6.x and UCSF Chimera 1.2, 1.3, 1.4.
RINs compatible with RINalyzer and structureViz can be created in several different ways:
Nadezhda T. Doncheva1, Karsten Klein2, John "Scooter" Morris3, Francisco S. Domingues1,4, and Mario Albrecht1,5,6,7
1Max Planck Institute for Informatics, Saarbrücken, Germany
2The University of Sydney, Sydney, Australia
3University of California, San Francisco, San Francisco, USA
4Institute of Genetic Medicine, EURAC research, Bolzano, Italy
5University Medicine Greifswald, Greifswald, Germany
6Graz University of Technology, Graz, Austria
7BioTechMed-Graz, Graz, Austria
If you have any questions, comments, suggestions or criticism, feel free to contact us at: rinalyzer [at] mpi-inf [dot] mpg [dot] de.