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N-豆蔻酰转移酶抑制剂捕集作为药物效力的一种机制。

Inhibitor Trapping in N-Myristoyltransferases as a Mechanism for Drug Potency.

机构信息

Department of Chemistry, Faculty of Pharmacy, Medical University of Sofia, 1000 Sofia, Bulgaria.

出版信息

Int J Mol Sci. 2023 Jul 18;24(14):11610. doi: 10.3390/ijms241411610.

Abstract

Predicting inhibitor potency is critical in drug design and development, yet it has remained one of computational biology's biggest unresolved challenges. Here, we show that in the case of the N-myristoyltransferase (NMT), this problem could be traced to the mechanisms by which the NMT enzyme is inhibited. NMT adopts open or closed conformations necessary for orchestrating the different steps of the catalytic process. The results indicate that the potency of the NMT inhibitors is determined by their ability to stabilize the enzyme conformation in the closed state, and that in this state, the small molecules themselves are trapped and locked inside the structure of the enzyme, creating a significant barrier for their dissociation. By using molecular dynamics simulations, we demonstrate that the conformational stabilization of the protein molecule in its closed form is highly correlated with the ligands activity and can be used to predict their potency. Hence, predicting inhibitor potency in silico might depend on modeling the conformational changes of the protein molecule upon binding of the ligand rather than estimating the changes in free binding energy that arise from their interaction.

摘要

预测抑制剂效力在药物设计和开发中至关重要,但它仍然是计算生物学中最大的未解决挑战之一。在这里,我们表明,就 N-豆蔻酰转移酶(NMT)而言,这个问题可以追溯到 NMT 酶被抑制的机制。NMT 采用开放或闭合构象,这是协调催化过程不同步骤所必需的。研究结果表明,NMT 抑制剂的效力取决于它们稳定酶在闭合状态下构象的能力,并且在这种状态下,小分子本身被困在酶的结构内并被锁定,为它们的解离形成了一个显著的障碍。通过使用分子动力学模拟,我们证明了蛋白质分子在闭合形式下的构象稳定与配体的活性高度相关,并可用于预测其效力。因此,在计算机中预测抑制剂效力可能取决于建模配体结合时蛋白质分子构象的变化,而不是估计它们相互作用产生的自由结合能的变化。

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