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Potent New Small-Molecule Inhibitor of Botulinum Neurotoxin Serotype A Endopeptidase Developed by Synthesis-Based Computer-Aided Molecular Design

机译:通过基于合成的计算机辅助分子设计开发的新型新型肉毒杆菌神经毒素血清酶抑制剂

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摘要

Botulinum neurotoxin serotype A (BoNTA) causes a life-threatening neuroparalytic disease known as botulism. Current treatment for post exposure of BoNTA uses antibodies that are effective in neutralizing the extracellular toxin to prevent further intoxication but generally cannot rescue already intoxicated neurons. Effective small-molecule inhibitors of BoNTA endopeptidase (BoNTAe) are desirable because such inhibitors potentially can neutralize the intracellular BoNTA and offer complementary treatment for botulism. Previously we reported a serotype-selective, small-molecule BoNTAe inhibitor with a K i app value of 3.8±0.8 µM. This inhibitor was developed by lead identification using virtual screening followed by computer-aided optimization of a lead with an IC50 value of 100 µM. However, it was difficult to further improve the lead from micromolar to even high nanomolar potency due to the unusually large enzyme-substrate interface of BoNTAe. The enzyme-substrate interface area of 4,840 Å2 for BoNTAe is about four times larger than the typical protein-protein interface area of 750–1,500 Å2. Inhibitors must carry several functional groups to block the unusually large interface of BoNTAe, and syntheses of such inhibitors are therefore time-consuming and expensive. Herein we report the development of a serotype-selective, small-molecule, and competitive inhibitor of BoNTAe with a K i value of 760±170 nM using synthesis-based computer-aided molecular design (SBCAMD). This new approach accounts the practicality and efficiency of inhibitor synthesis in addition to binding affinity and selectivity. We also report a three-dimensional model of BoNTAe in complex with the new inhibitor and the dynamics of the complex predicted by multiple molecular dynamics simulations, and discuss further structural optimization to achieve better in vivo efficacy in neutralizing BoNTA than those of our early micromolar leads. This work provides new insight into structural modification of known small-molecule BoNTAe inhibitors. It also demonstrates that SBCAMD is capable of improving potency of an inhibitor lead by nearly one order of magnitude, even for BoNTAe as one of the most challenging protein targets. The results are insightful for developing effective small-molecule inhibitors of protein targets with large active sites.
机译:肉毒杆菌神经毒素A型血清型(BoNTA)导致威胁生命的神经麻痹性疾病,称为肉毒中毒。 BoNTA的后暴露的当前治疗使用有效中和细胞外毒素以防止进一步中毒但通常不能挽救已经中毒的神经元的抗体。需要有效的BoNTA内肽酶小分子抑制剂(BoNTAe),因为此类抑制剂可能会中和细胞内的BoNTA,并为肉毒中毒提供补充治疗。先前我们报道了一种血清型选择性小分子BoNTAe抑制剂,其K i app 值为3.8±0.8 µM。通过使用虚拟筛选进行铅鉴定,然后通过计算机辅助优化IC50值为100 µM的铅来开发这种抑制剂。但是,由于BoNTAe的酶-底物界面非常大,因此难以将其从微摩尔的铅进一步提高到更高的纳摩尔电势。 BoNTAe的酶-底物界面面积为4,840Å 2 ,约为典型的750-1,500Å 2 的蛋白质-蛋白质界面面积的四倍。抑制剂必须带有几个官能团才能阻断BoNTAe异常大的界面,因此合成此类抑制剂既费时又昂贵。本文中,我们报告了使用基于合成的计算机辅助分子设计(SBCAMD)开发的血清型选择性,小分子和竞争性BoNTAe抑制剂,其K i值为760±170 nM。除了结合亲和力和选择性之外,这种新方法还考虑了抑制剂合成的实用性和效率。我们还报告了BoNTAe与新抑制剂的复合物的三维模型,以及通过多种分子动力学模拟预测的复合物的动力学,并讨论了进一步的结构优化,以实现中和BoNTA的体内功效比我们早期的微摩尔引线更好。 。这项工作为已知的小分子BoNTAe抑制剂的结构修饰提供了新的见识。它也证明了SBCAMD甚至能够将BoNTAe作为最具挑战性的蛋白质靶标之一,也能够将抑制剂铅的效力提高近一个数量级。该结果对于开发具有大活性位点的有效的小分子蛋白靶标抑制剂具有洞察力。

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