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计算与实验研究洞察原卟啉原氧化酶的底物识别与反馈抑制机制。

Computational and experimental insights into the mechanism of substrate recognition and feedback inhibition of protoporphyrinogen oxidase.

机构信息

Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, PR China.

出版信息

PLoS One. 2013 Jul 23;8(7):e69198. doi: 10.1371/journal.pone.0069198. Print 2013.

Abstract

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.

摘要

原卟啉原 IX 氧化酶(PPO;EC 1.3.3.4)是一种催化血红素和叶绿素生物合成途径中最后一个共同步骤的必需酶。PPO 抑制剂因其在农业和医学中的重要性而引起了极大的兴趣。然而,由于缺乏对底物识别的结构和机制理解,发现具有超高效力和选择性的 PPO 抑制剂受到阻碍,这仍然是卟啉生物学中的一个长期存在的核心问题。为了理解这一机制,通过广泛的计算模拟,开发了一种新的原卟啉(原卟啉原 IX,底物)结合模型。随后,通过计算模拟确定了对原卟啉结合至关重要的氨基酸残基,并通过突变进行取代。对这些突变体的动力学分析表明,这些残基对于原卟啉结合至关重要。此外,这些突变体与原卟啉结合的计算自由能与实验数据很好地相关,表明结合模型的合理性。基于这个新模型,通过进行平均力势(PMF)计算,研究了底物识别的基本机制,为构象变化和途径中间体提供了原子水平的描述。自由能谱揭示了原卟啉(原卟啉 IX,产物)的反馈抑制机制,这也与实验证据一致。从这项研究中获得的新的机制见解为基于产物结合的 PPO 结构设计更有效的 PPO 抑制剂提供了新的起点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3d8/3720618/e82f71d64668/pone.0069198.g001.jpg

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