A mechanistic view of enzyme evolution. (24th July 2020)

• Record Type: Journal Article
• Authors: Yang, Gloria; Miton, Charlotte M.; Tokuriki, Nobuhiko
• Is Part Of: Protein science. Volume 29:Number 8(2020)
• Page Start: 1724
• Page End: 1747
• Publication Date: 2020-07-24
• Subjects: activity‐enhancing mutations -- ancestral sequence reconstruction -- conformational dynamics -- conformational tinkering -- directed evolution -- enzyme evolution -- enzyme promiscuity -- enzyme–substrate complementarity -- molecular mechanisms -- substrate repositioning; Proteins -- Periodicals; 572.6
• DOI: 10.1002/pro.3901
• Languages: English
• ISSNs: 0961-8368

Abstract

Abstract: New enzyme functions often evolve through the recruitment and optimization of latent promiscuous activities. How do mutations alter the molecular architecture of enzymes to enhance their activities? Can we infer general mechanisms that are common to most enzymes, or does each enzyme require a unique optimization process? The ability to predict the location and type of mutations necessary to enhance an enzyme's activity is critical to protein engineering and rational design. In this review, via the detailed examination of recent studies that have shed new light on the molecular changes underlying the optimization of enzyme function, we provide a mechanistic perspective of enzyme evolution. We first present a global survey of the prevalence of activity‐enhancing mutations and their distribution within protein structures. We then delve into the molecular solutions that mediate functional optimization, specifically highlighting several common mechanisms that have been observed across multiple examples. As distinct protein sequences encounter different evolutionary bottlenecks, different mechanisms are likely to emerge along evolutionary trajectories toward improved function. Identifying the specific mechanism(s) that need to be improved upon, and tailoring our engineering efforts to each sequence, may considerably improve our chances to succeed in generating highly efficient catalysts in the future.