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PDBsum entry 3nq2
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* Residue conservation analysis
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J Mol Biol
407:391-412
(2011)
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PubMed id:
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Optimization of the in-silico-designed kemp eliminase KE70 by computational design and directed evolution.
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O.Khersonsky,
D.Röthlisberger,
A.M.Wollacott,
P.Murphy,
O.Dym,
S.Albeck,
G.Kiss,
K.N.Houk,
D.Baker,
D.S.Tawfik.
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ABSTRACT
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Although de novo computational enzyme design has been shown to be feasible, the
field is still in its infancy: the kinetic parameters of designed enzymes are
still orders of magnitude lower than those of naturally occurring ones.
Nonetheless, designed enzymes can be improved by directed evolution, as recently
exemplified for the designed Kemp eliminase KE07. Random mutagenesis and
screening resulted in variants with >200-fold higher catalytic efficiency and
provided insights about features missing in the designed enzyme. Here we
describe the optimization of KE70, another designed Kemp eliminase. Amino acid
substitutions predicted to improve catalysis in design calculations involving
extensive backbone sampling were individually tested. Those proven beneficial
were combinatorially incorporated into the originally designed KE70 along with
random mutations, and the resulting libraries were screened for improved
eliminase activity. Nine rounds of mutation and selection resulted in
>400-fold improvement in the catalytic efficiency of the original KE70
design, reflected in both higher k(cat) values and lower K(m) values, with the
best variants exhibiting k(cat)/K(m) values of >5×10(4) s(-)(1) M(-1). The
optimized KE70 variants were characterized structurally and biochemically,
providing insights into the origins of the improvements in catalysis. Three
primary contributions were identified: first, the reshaping of the active-site
cavity to achieve tighter substrate binding; second, the fine-tuning of
electrostatics around the catalytic His-Asp dyad; and, third, the stabilization
of the active-site dyad in a conformation optimal for catalysis.
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}
}
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