Cheminformatic quantum mechanical enzyme model design: A catechol-O-methyltransferase case study
Abstract
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, RINRUS was 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. RINRUS will serve as a cornerstone for improved and automated cheminformatics-based enzyme model design.
Publication Title
Biophysical Journal
Recommended Citation
Summers, T., Cheng, Q., Palma, M., Pham, D., Kelso, D., Webster, C., & DeYonker, N. (2021). Cheminformatic quantum mechanical enzyme model design: A catechol-O-methyltransferase case study. Biophysical Journal, 120 (17), 3577-3587. https://doi.org/10.1016/j.bpj.2021.07.029
