4.7 Article

Directed evolution 2.0: improving and deciphering enzyme properties

Journal

CHEMICAL COMMUNICATIONS
Volume 51, Issue 48, Pages 9760-9772

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/c5cc01594d

Keywords

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Funding

  1. RWTH Aachen University
  2. DWI-Leibniz Institute for Interactive Materials
  3. German Federal Ministry of Education and Research (BMBF) [FKZ 031A227F]
  4. Deutsche Forschungsgemeinschaft through Cluster of Excellence Tailor-Made Fuels from Biomass'' (TMFB)
  5. Chinese Academy of Sciences Visiting Professorships for Senior International Scientists [Y3J8041101]

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Directed evolution has matured to a routinely applied algorithm to tailor enzyme properties to meet the demands in various applications. In order to free directed enzyme evolution from methodological restraints and to efficiently explore its potential, many different strategies have been used in directed evolution campaigns. Analysis of directed evolution campaigns reveals that traditional approaches, in which several iterative rounds of diversity generation and screening are performed, are gradually replaced by strategies which require less time, less screening efforts, and generate a molecular understanding of the targeted properties. In this review, conceptual advances in knowledge generating directed evolution strategies are summarized, compared to each other and to traditional directed evolution strategies. Finally, a 'KnowVolution' (knowledge gaining directed evolution) termed strategy is proposed.

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