Laccase engineering by directed and computational evolution. In: Laccase in bioremediation of pollutants and xenobiotics.
[EN] Directed evolution is a powerful strategy to tailor enzymes with improved attributes. The use of laboratory evolution is becoming more refined, whereby computational and experimental approaches are being combined so that more effective libraries can be created, producing enzymes with greater bi...
| Autores: | , , |
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| Tipo de recurso: | otro |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/228493 |
| Acceso en línea: | http://hdl.handle.net/10261/228493 |
| Access Level: | acceso abierto |
| Palabra clave: | Directed evolution Computational evolution Laccases Bioremediation Waste valorization High-redox potential laccase Consensus design SCHEMA-RASPP structure-guided recombination Ancestral enzyme resurrection Stability Activity Initiators Redox mediators |
| Sumario: | [EN] Directed evolution is a powerful strategy to tailor enzymes with improved attributes. The use of laboratory evolution is becoming more refined, whereby computational and experimental approaches are being combined so that more effective libraries can be created, producing enzymes with greater biotechnological potential while notably reducing the demands on screening. This chapter summarizes the most recent findings from our laboratory to tailor fungal high-redox potential laccases by bringing together computational approaches with in vitro and in vivo methods for library creation. We focus on four recent case studies of laccase engineering in which different computational algorithms were applied at both the gene and protein levels. |
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