| Literature DB >> 27284085 |
Joost Van Durme1, Greet De Baets1, Rob Van Der Kant1, Meine Ramakers1, Ashok Ganesan1, Hannah Wilkinson1, Rodrigo Gallardo1, Frederic Rousseau2, Joost Schymkowitz2.
Abstract
Protein aggregation is a major factor limiting the biotechnological and therapeutic application of many proteins, including enzymes and monoclonal antibodies. The molecular principles underlying aggregation are by now sufficiently understood to allow rational redesign of natural polypeptide sequences for decreased aggregation tendency, and hence potentially increased expression and solubility. Given that aggregation-prone regions (APRs) tend to contribute to the stability of the hydrophobic core or to functional sites of the protein, mutations in these regions have to be carefully selected in order not to disrupt protein structure or function. Therefore, we here provide access to an automated pipeline to identify mutations that reduce protein aggregation by reducing the intrinsic aggregation propensity of the sequence (using the TANGO algorithm), while taking care not to disrupt the thermodynamic stability of the native structure (using the empirical force-field FoldX). Moreover, by providing a plot of the intrinsic aggregation propensity score of APRs corrected by the local stability of that region in the folded structure, we allow users to prioritize those regions in the protein that are most in need of improvement through protein engineering. The method can be accessed at http://solubis.switchlab.org/.Entities:
Keywords: protein aggregation; protein design; structural bioinformatics
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Year: 2016 PMID: 27284085 DOI: 10.1093/protein/gzw019
Source DB: PubMed Journal: Protein Eng Des Sel ISSN: 1741-0126 Impact factor: 1.650