Directed Evolution's Selective Use of Quantum Tunneling in Designed Enzymes─A Combined Theoretical and Experimental Study.

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL
Kseniia Korchagina, Sree Ganesh Balasubramani, Jordan Berreur, Emilie F Gerard, Linus O Johannissen, Anthony P Green, Sam Hay, Steven D Schwartz
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Abstract

Natural enzymes are powerful catalysts, reducing the apparent activation energy for reactions and enabling chemistry to proceed as much as 1015 times faster than the corresponding solution reaction. It has been suggested for some time that, in some cases, quantum tunneling can contribute to this rate enhancement by offering pathways through a barrier inaccessible to activated events. A central question of interest to both physical chemists and biochemists is the extent to which evolution introduces mechanisms below the barrier, or tunneling mechanisms. In view of the rapidly expanding chemistries for which artificial enzymes have been created, it is of interest to see how quantum tunneling has been used in these reactions. In this paper, we study the evolution of possible proton tunneling during C-H bond cleavage in enzymes that catalyze the Morita-Baylis-Hillman (MBH) reaction. The enzymes were generated by theoretical design, followed by laboratory evolution. We employ classical and centroid molecular dynamics approaches in path sampling computations to determine whether there is a quantum contribution to lowering the free energy of the proton transfer for various experimentally generated protein and substrate combinations. These data are compared to experiments reporting on the observed kinetic isotope effect (KIE) for the relevant reactions. Our results indicate the modest involvement of tunneling when laboratory evolution has resulted in a system with a higher classical free energy barrier to chemistry (that is, when optimization of processes other than chemistry results in a higher chemical barrier).

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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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