Computation-Aided Engineering of Cytochrome P450 for the Production of Pravastatin.
Computation-Aided Engineering of Cytochrome P450 for the Production of Pravastatin.
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DOI:
10.1021/acscatal.2c03974
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发表时间:
2022-12-16
期刊:
影响因子:
12.9
通讯作者:
Munro, Andrew W.
中科院分区:
文献类型:
--
作者:
Ashworth, Mark A.;Bombino, Elvira;de Jong, Rene M.;Wijma, Hein J.;Janssen, Dick B.;McLean, Kirsty J.;Munro, Andrew W.
关键词:
CYP105AS1 is a cytochrome P450 from Amycolatopsis orientalis that catalyzes monooxygenation of compactin to 6-epi-pravastatin. For fermentative production of the cholesterol-lowering drug pravastatin, the stereoselectivity of the enzyme needs to be inverted, which has been partially achieved by error-prone PCR mutagenesis and screening. In the current study, we report further optimization of the stereoselectivity by a computationally aided approach. Using the CoupledMoves protocol of Rosetta, a virtual library of mutants was designed to bind compactin in a pro-pravastatin orientation. By examining the frequency of occurrence of beneficial substitutions and rational inspection of their interactions, a small set of eight mutants was predicted to show the desired selectivity and these variants were tested experimentally. The best CYP105AS1 variant gave >99% stereoselective hydroxylation of compactin to pravastatin, with complete elimination of the unwanted 6-epi-pravastatin diastereomer. The enzyme–substrate complexes were also examined by ultrashort molecular dynamics simulations of 50 × 100 ps and 5 × 22 ns, which revealed that the frequency of occurrence of near-attack conformations agreed with the experimentally observed stereoselectivity. These results show that a combination of computational methods and rational inspection could improve CYP105AS1 stereoselectivity beyond what was obtained by directed evolution. Moreover, the work lays out a general in silico framework for specificity engineering of enzymes of known structure.
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影响因子:
4.3
作者:
Bednar D;Beerens K;Sebestova E;Bendl J;Khare S;Chaloupkova R;Prokop Z;Brezovsky J;Baker D;Damborsky J
通讯作者:
Damborsky J
影响因子:
21.8
作者:
Dodani SC;Kiss G;Cahn JK;Su Y;Pande VS;Arnold FH
通讯作者:
Arnold FH
DOI:
10.1002/cbic.202000735
发表时间:
2021-03-16
期刊:
Chembiochem : a European journal of chemical biology
影响因子:
--
作者:
Bracco P;Wijma HJ;Nicolai B;Buitrago JAR;Klünemann T;Vila A;Schrepfer P;Blankenfeldt W;Janssen DB;Schallmey A
通讯作者:
Schallmey A
DOI:
10.1073/pnas.251555398
发表时间:
2001-12-04
影响因子:
11.1
作者:
Bolon, DN;Mayo, SL
通讯作者:
Mayo, SL
影响因子:
2.9
作者:
BERRY, EA;TRUMPOWER, BL
通讯作者:
TRUMPOWER, BL