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基于 ACE2 的 SARS-CoV-2 肽抑制剂的计算设计。

Computational Design of ACE2-Based Peptide Inhibitors of SARS-CoV-2.

机构信息

Department of Chemistry, University of Illinois at Chicago, Chicago, Illinois 60607, United States.

Department of Physics, Biopharmaceutical Sciences, and Chemical Engineering, University of Illinois at Chicago, Chicago, Illinois 60607, United States.

出版信息

ACS Nano. 2020 Apr 28;14(4):5143-5147. doi: 10.1021/acsnano.0c02857. Epub 2020 Apr 16.

Abstract

Peptide inhibitors against the SARS-CoV-2 coronavirus, currently causing a worldwide pandemic, are designed and simulated. The inhibitors are mostly formed by two sequential self-supporting α-helices (bundle) extracted from the protease domain (PD) of angiotensin-converting enzyme 2 (ACE2), which bind to the SARS-CoV-2 receptor binding domains. Molecular dynamics simulations revealed that the α-helical peptides maintain their secondary structure and provide a highly specific and stable binding (blocking) to SARS-CoV-2. To provide a multivalent binding to the SARS-CoV-2 receptors, many such peptides could be attached to the surfaces of nanoparticle carriers. The proposed peptide inhibitors could provide simple and efficient therapeutics against the COVID-19 disease.

摘要

针对目前正在全球范围内流行的 SARS-CoV-2 冠状病毒的肽类抑制剂被设计和模拟。这些抑制剂主要由从血管紧张素转换酶 2(ACE2)的蛋白酶结构域(PD)提取的两个连续的自支撑α-螺旋(束)组成,与 SARS-CoV-2 的受体结合域结合。分子动力学模拟表明,α-螺旋肽保持其二级结构,并提供高度特异性和稳定的结合(阻断)到 SARS-CoV-2。为了对 SARS-CoV-2 受体提供多价结合,许多这样的肽可以附着在纳米颗粒载体的表面上。所提出的肽抑制剂可以为 COVID-19 疾病提供简单有效的治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4783/10903330/2f9a1eba266c/nihms-1969670-f0002.jpg

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