Abstract
Summary: Constraint network analysis (CNA) is a graph theory-based rigidity analysis approach for linking a biomolecule's structure, flexibility, (thermo)stability and function. Results from CNA are highly information-rich and require intuitive, synchronized and interactive visualization for a comprehensive analysis. We developed VisualCNA, an easy-to-use PyMOL plug-in that allows setup of CNA runs and analysis of CNA results linking plots with molecular graphics representations. From a practical viewpoint, the most striking feature of VisualCNA is that it facilitates interactive protein engineering aimed at improving thermostability.
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CITATION STYLE
Rathi, P. C., Mulnaes, D., & Gohlke, H. (2015). VisualCNA: A GUI for interactive constraint network analysis and protein engineering for improving thermostability. Bioinformatics, 31(14), 2394–2396. https://doi.org/10.1093/bioinformatics/btv139
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