Cheminformatic quantum mechanical enzyme model design: A catechol-O-methyltransferase case study
Cheminformatic quantum mechanical enzyme model design: A catechol-O-methyltransferase case study
复制标题
化学信息量子力学酶模型设计:儿茶酚-O-甲基转移酶案例研究
DOI:
10.1016/j.bpj.2021.07.029
复制
发表时间:
2021
影响因子:
3.4
通讯作者:
DeYonker, Nathan J.
中科院分区:
文献类型:
--
作者:
Summers, Thomas J.;Cheng, Qianyi;Palma, Manuel A.;Pham, Diem-Trang;Kelso, Dudley K.;Webster, Charles Edwin;DeYonker, Nathan J.
To accurately simulate the inner workings of an enzyme active site with quantum mechanics (QM), not only must the reactive species be included in the model but also important surrounding residues, solvent, or coenzymes involved in crafting the microenvironment. Our lab has been developing the Residue Interaction Network Residue Selector (RINRUS) toolkit to utilize interatomic contact network information for automated, rational residue selection and QM-cluster model generation. Starting from an x-ray crystal structure of catechol-O-methyltransferase,RINRUSwas used to construct a series of QM-cluster models. The reactant, product, and transition state of the methyl transfer reaction were computed for a total of 550 models, and the resulting free energies of activation and reaction were used to evaluate model convergence.RINRUS-designed models with only 200–300 atoms are shown to converge.RINRUSwill serve as a cornerstone for improved and automated cheminformatics-based enzyme model design.