Ashworth Mark A, Bombino Elvira, de Jong René M, Wijma Hein J, Janssen Dick B, McLean Kirsty J, Munro Andrew W
Manchester Institute of Biotechnology, School of Chemistry, The University of Manchester, Manchester M1 7DN, United Kingdom.
Department of Biochemistry, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 4, Groningen 9747 AG, Netherlands.
ACS Catal. 2022 Dec 16;12(24):15028-15044. doi: 10.1021/acscatal.2c03974. Epub 2022 Nov 28.
CYP105AS1 is a cytochrome P450 from 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 framework for specificity engineering of enzymes of known structure.
CYP105AS1是一种来自[具体来源未给出]的细胞色素P450,它催化康帕丁单加氧生成6-表普伐他汀。对于发酵生产降胆固醇药物普伐他汀而言,该酶的立体选择性需要反转,通过易错PCR诱变和筛选已部分实现这一目标。在本研究中,我们报告了通过计算辅助方法对立体选择性进行的进一步优化。使用Rosetta的耦合移动协议,设计了一个突变体虚拟文库,使康帕丁以生成普伐他汀的方向结合。通过检查有益取代的出现频率并合理考察它们的相互作用,预测了一小批8个突变体显示出所需的选择性,并对这些变体进行了实验测试。最佳的CYP105AS1变体对康帕丁进行立体选择性羟基化生成普伐他汀的比例>99%,完全消除了不需要的6-表普伐他汀非对映异构体。还通过50×100 ps和5×22 ns的超短分子动力学模拟对酶-底物复合物进行了研究,结果表明近攻击构象的出现频率与实验观察到的立体选择性一致。这些结果表明,计算方法和合理考察相结合可以提高CYP105AS1的立体选择性,超出定向进化所获得的水平。此外,这项工作为已知结构酶的特异性工程奠定了一个通用框架。