Sergey Nepomnyachiy, Nir Ben-Tal, Rachel Kolodny  Structure 

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CyToStruct Augmenting the network visualization of Cytoscape with the power of molecular viewers.
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CyToStruct: Augmenting the Network Visualization of Cytoscape with the Power of Molecular Viewers  Sergey Nepomnyachiy, Nir Ben-Tal, Rachel Kolodny  Structure  Volume 23, Issue 5, Pages 941-948 (May 2015) DOI: 10.1016/j.str.2015.02.013 Copyright © 2015 Elsevier Ltd Terms and Conditions

Structure 2015 23, 941-948DOI: (10.1016/j.str.2015.02.013) Copyright © 2015 Elsevier Ltd Terms and Conditions

Figure 1 CyToStruct Interfaces between a Cytoscape Network of Protein-Protein Interactions and the Corresponding Protein/RNA Complex, Visualized Using PyMOL The network describes the human mitochondrial ribosome complex of 48 proteins (Brown et al., 2014). The PyMOL window at the front shows the interface between two proteins, mL51 and uL4, highlighting the CA atoms of the interface residues (as identified by PISA [Krissinel and Henrick, 2007]) as spheres. Structure 2015 23, 941-948DOI: (10.1016/j.str.2015.02.013) Copyright © 2015 Elsevier Ltd Terms and Conditions

Figure 2 CyToStruct Interfaces between a Cytoscape Network of Similarity and its Structural Determinants, Visualized Using PyMOL The Cytoscape window at the back of this screenshot shows a network of similar protein domains. The PyMOL window at the front shows a superimposition of the similar cyan and magenta motifs that correspond to the common parts in two nodes connected by the edge that is highlighted in red. Structure 2015 23, 941-948DOI: (10.1016/j.str.2015.02.013) Copyright © 2015 Elsevier Ltd Terms and Conditions

Figure 3 CyToStruct Augments Cytoscape with Molecular Viewers The CyToStruct configuration includes a template script (A) with “missing” parts, here marked by the empty boxes 1, 2, and 3. The (in this case, edge) data matrix file (B) includes a column for each missing piece. Each edge in the network has one or more lines in the matrix; the red edge shown here has two lines. CyToStruct infuses the data from the matrix, shown here as filling the appropriate places in the template with the corresponding colored blocks, thereby generating a script. Because there are two lines in the matrix, the generated script (C) includes two copies of the part in the template script to be replicated. For example, column 1 can specify the name of the protein to be opened in the viewer, and column 2 the list of interface residues; in this demonstration, two proteins (the purple and the yellow) are loaded, and their interface residues are highlighted in light green and dark blue, respectively. The generated script is passed to the molecular viewer, and the data are shown (rightmost panel). Structure 2015 23, 941-948DOI: (10.1016/j.str.2015.02.013) Copyright © 2015 Elsevier Ltd Terms and Conditions

Figure 4 An Example of Converting a Template Script into a Script, Using the Data Matrix File (A) The template script in PyMOL syntax. (B) The data matrix file with the data to be infused into the template script. There are five columns, corresponding to the five variables in the template script: domain, residues, last_res, dcolor, and mcolor. (C) The script that CyToStruct will generate, when launched by right-clicking on node 1. We highlight the simple variable replacement, with the example of replacing the variable placeholder %mcolor% with the values in blue letters in the generated script. We also highlight horizontal replication, where the list of comma-separated values in the column “residues” is replicated (highlighted with red letters). For vertical replication, the replicated block is marked; the part generated by the first row is shown with a light gray background, and the part generated by the second row is shown with a light blue background. Structure 2015 23, 941-948DOI: (10.1016/j.str.2015.02.013) Copyright © 2015 Elsevier Ltd Terms and Conditions