Predicting protein folding rate change upon point mutation using residue‐level coevolutionary information |
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Authors: | Saurav Mallik Smita Das Sudip Kundu |
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Institution: | 1. Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, Kolkata, India;2. Center of Excellence in Systems Biology and Biomedical Engineering (TEQIP Phase‐II), University of Calcutta, Kolkata, India |
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Abstract: | Change in folding kinetics of globular proteins upon point mutation is crucial to a wide spectrum of biological research, such as protein misfolding, toxicity, and aggregations. Here we seek to address whether residue‐level coevolutionary information of globular proteins can be informative to folding rate changes upon point mutations. Generating residue‐level coevolutionary networks of globular proteins, we analyze three parameters: relative coevolution order (rCEO), network density (ND), and characteristic path length (CPL). A point mutation is considered to be equivalent to a node deletion of this network and respective percentage changes in rCEO, ND, CPL are found linearly correlated (0.84, 0.73, and ?0.61, respectively) with experimental folding rate changes. The three parameters predict the folding rate change upon a point mutation with 0.031, 0.045, and 0.059 standard errors, respectively. Proteins 2016; 84:3–8. © 2015 Wiley Periodicals, Inc. |
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Keywords: | protein folding point mutation coevolution order network density characteristic path length |
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