Huang Xiaoqiang, Xue Jing, Lin Min, Zhu Yushan
Department of Chemical Engineering, Tsinghua University, Beijing 100084, P.R. China.
PLoS One. 2016 May 31;11(5):e0156559. doi: 10.1371/journal.pone.0156559. eCollection 2016.
Active site preorganization helps native enzymes electrostatically stabilize the transition state better than the ground state for their primary substrates and achieve significant rate enhancement. In this report, we hypothesize that a complex active site model for active site preorganization modeling should help to create preorganized active site design and afford higher starting activities towards target reactions. Our matching algorithm ProdaMatch was improved by invoking effective pruning strategies and the native active sites for ten scaffolds in a benchmark test set were reproduced. The root-mean squared deviations between the matched transition states and those in the crystal structures were < 1.0 Å for the ten scaffolds, and the repacking calculation results showed that 91% of the hydrogen bonds within the active sites are recovered, indicating that the active sites can be preorganized based on the predicted positions of transition states. The application of the complex active site model for de novo enzyme design was evaluated by scaffold selection using a classic catalytic triad motif for the hydrolysis of p-nitrophenyl acetate. Eighty scaffolds were identified from a scaffold library with 1,491 proteins and four scaffolds were native esterase. Furthermore, enzyme design for complicated substrates was investigated for the hydrolysis of cephalexin using scaffold selection based on two different catalytic motifs. Only three scaffolds were identified from the scaffold library by virtue of the classic catalytic triad-based motif. In contrast, 40 scaffolds were identified using a more flexible, but still preorganized catalytic motif, where one scaffold corresponded to the α-amino acid ester hydrolase that catalyzes the hydrolysis and synthesis of cephalexin. Thus, the complex active site modeling approach for de novo enzyme design with the aid of the improved ProdaMatch program is a promising approach for the creation of active sites with high catalytic efficiencies towards target reactions.
活性位点预组织有助于天然酶在静电作用下比其主要底物的基态更好地稳定过渡态,并实现显著的速率增强。在本报告中,我们假设用于活性位点预组织建模的复杂活性位点模型应有助于创建预组织的活性位点设计,并为目标反应提供更高的起始活性。我们通过调用有效的剪枝策略改进了匹配算法ProdaMatch,并在基准测试集中重现了十个支架的天然活性位点。对于这十个支架,匹配的过渡态与晶体结构中的过渡态之间的均方根偏差小于1.0 Å,重新包装计算结果表明活性位点内91%的氢键得以恢复,这表明活性位点可以基于预测的过渡态位置进行预组织。通过使用经典催化三联体基序进行支架选择,以评估复杂活性位点模型在从头酶设计中的应用,该基序用于对硝基苯乙酸的水解。从包含1491种蛋白质的支架库中鉴定出80个支架,其中四个支架是天然酯酶。此外,还研究了基于两种不同催化基序的支架选择对头孢氨苄水解复杂底物的酶设计。基于经典催化三联体基序,仅从支架库中鉴定出三个支架。相比之下,使用更灵活但仍经过预组织的催化基序鉴定出40个支架,其中一个支架对应于催化头孢氨苄水解和合成的α-氨基酸酯水解酶。因此,借助改进的ProdaMatch程序进行从头酶设计的复杂活性位点建模方法是一种有前途的方法,可用于创建对目标反应具有高催化效率的活性位点。