Computational and Experimental Insights into the Mechanism of Substrate Recognition and Feedback Inhibition of Protoporphyrinogen Oxidase

原卟啉原氧化酶 化学 突变 基质(水族馆) 合理设计 原卟啉IX 结合位点 立体化学 酶 生物物理学 突变体 生物化学 计算生物学 生物 基因 遗传学 有机化学 生态学 光动力疗法
作者
Ge‐Fei Hao,Ying Chong Tan,Sheng‐Gang Yang,Zhifang Wang,Chang‐Guo Zhan,Zhen Xi,Guang‐Fu Yang
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:8 (7): e69198-e69198 被引量:30
标识
DOI:10.1371/journal.pone.0069198
摘要

Protoporphyrinogen IX oxidase (PPO; EC 1.3.3.4) is an essential enzyme catalyzing the last common step in the pathway leading to heme and chlorophyll biosynthesis. Great interest in PPO inhibitors arises from both its significance to agriculture and medicine. However, the discovery of PPO inhibitors with ultrahigh potency and selectivity is hampered due to lack of structural and mechanistic understanding about the substrate recognition, which remains a longstanding question central in porphyrin biology. To understand the mechanism, a novel binding model of protogen (protoporphyrinogen IX, the substrate) was developed through extensive computational simulations. Subsequently, amino acid residues that are critical for protogen binding identified by computational simulations were substituted by mutagenesis. Kinetic analyses of these mutants indicated that these residues were critical for protogen binding. In addition, the calculated free energies of protogen binding with these mutants correlated well with the experimental data, indicating the reasonability of the binding model. On the basis of this novel model, the fundamental mechanism of substrate recognition was investigated by performing potential of mean force (PMF) calculations, which provided an atomic level description of conformational changes and pathway intermediates. The free energy profile revealed a feedback inhibition mechanism of proto (protoporphyrin IX, the product), which was also in agreement with experimental evidence. The novel mechanistic insights obtained from this study present a new starting point for future rational design of more efficient PPO inhibitors based on the product-bound PPO structure.

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