Revealing the Origin of the Efficiency of the De Novo Designed Kemp Eliminase HG-3.17 by Comparison with the Former Developed HG-3.
The design of new biocatalysts is a goal in biotechnology to improve the rate, selectivity and environmental impact of industrial chemical processes. In this regard, the use of computational techniques has provided valuable assistance in the design of new enzymes with remarkable catalytic activity. In this paper, hybrid QM/MM molecular dynamics simulations have allowed insights to be gained on the origin of the limited efficiency of a computationally designed enzyme for the Kemp elimination; the HG-3. Comparison of results derived from this enzyme with those of a more evolved protein containing additional point mutations, HG-3.17, rendered important information that should be taken into account in the design of new enzymes. For this Kemp eliminase reaction, higher reactivity has been demonstrated to be related to a better electrostatic preorganisation of an environment that creates a more favourable electrostatic potential for the reaction to proceed. The limitations of HG-3 can be related to a lack of flexibility, a not well-fitted active site, and a lack of protein electrostatic preorganisation, which decrease the reorganisation around the oxyanion hole.
Departament de Química Física i Analítica, Universitat Jaume I, 12071, Castellón, Spain.|Institute of Applied Radiation Chemistry, Lodz University of Technology, 90-924, Lodz, Poland.
Katarzyna
http://orcid.org/0000-0002-7528-1551
K
Świderek
Departament de Química Física, Universitat de València, 46100, Burjassot, Spain.
Iñaki
http://orcid.org/0000-0002-6995-1838
I
Tuñón
Departament de Química Física i Analítica, Universitat Jaume I, 12071, Castellón, Spain.|Department of Chemistry, University of Bath, Bath, BA2 7AY, United Kingdom.
Vicent
http://orcid.org/0000-0002-3665-3391
V
Moliner
Departament de Química, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
Joan
J
Bertran
density functional calculations; enzyme catalysis; enzyme models; noncovalent interactions; protein engineering