Abstract
The ability to stabilize enzymes and other proteins has wide-ranging applications. Most protocols for enhancing enzyme stability require multiple rounds of high-throughput screening of mutant libraries and provide only modest improvements of stability. Here, we describe a computational library design protocol that can increase enzyme stability by 20–35 °C with little experimental screening, typically fewer than 200 variants. This protocol, termed FRESCO, scans the entire protein structure to identify stabilizing disulfide bonds and point mutations, explores their effect by molecular dynamics simulations, and provides mutant libraries with variants that have a good chance (>10%) to exhibit enhanced stability. After experimental verification, the most effective mutations are combined to produce highly robust enzymes.
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Acknowledgments
This research was supported by the European Union Seventh framework project Kyrobio (KBBE-2011-5, 289646), by the European Union Horizon 2020 program (project LEIT-BIO-2014-1, 635734) by NWO (Netherlands Organization for Scientific Research) through an ECHO grant, and by the Dutch Ministry of Economic Affairs through BE-Basic (www.be-basic.org).
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Wijma, H.J., Fürst, M.J.L.J., Janssen, D.B. (2018). A Computational Library Design Protocol for Rapid Improvement of Protein Stability: FRESCO. In: Bornscheuer, U., Höhne, M. (eds) Protein Engineering. Methods in Molecular Biology, vol 1685. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7366-8_5
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DOI: https://doi.org/10.1007/978-1-4939-7366-8_5
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