Zhang Xiyun, DeChancie Jason, Gunaydin Hakan, Chowdry Arnab B, Clemente Fernando R, Smith Adam J T, Handel T M, Houk K N
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, California 92093, USA.
J Org Chem. 2008 Feb 1;73(3):889-99. doi: 10.1021/jo701974n. Epub 2008 Jan 8.
The design of active sites has been carried out using quantum mechanical calculations to predict the rate-determining transition state of a desired reaction in presence of the optimal arrangement of catalytic functional groups (theozyme). Eleven versatile reaction targets were chosen, including hydrolysis, dehydration, isomerization, aldol, and Diels-Alder reactions. For each of the targets, the predicted mechanism and the rate-determining transition state (TS) of the uncatalyzed reaction in water is presented. For the rate-determining TS, a catalytic site was designed using naturalistic catalytic units followed by an estimation of the rate acceleration provided by a reoptimization of the catalytic site. Finally, the geometries of the sites were compared to the X-ray structures of related natural enzymes. Recent advances in computational algorithms and power, coupled with successes in computational protein design, have provided a powerful context for undertaking such an endeavor. We propose that theozymes are excellent candidates to serve as the active site models for design processes.
活性位点的设计是通过量子力学计算来进行的,以预测在催化官能团的最佳排列(理论酶)存在下所需反应的速率决定过渡态。选择了11种通用的反应目标,包括水解、脱水、异构化、羟醛缩合和狄尔斯-阿尔德反应。对于每个目标,都给出了未催化反应在水中的预测机理和速率决定过渡态(TS)。对于速率决定TS,使用自然催化单元设计催化位点,然后通过对催化位点的重新优化来估计速率加速。最后,将这些位点的几何结构与相关天然酶的X射线结构进行比较。计算算法和能力的最新进展,以及计算蛋白质设计的成功,为开展这项工作提供了有力的背景。我们提出,理论酶是作为设计过程中活性位点模型的优秀候选者。