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

被引:308
作者
Han, Yanxiao [1 ]
Kral, Petr [1 ,2 ]
机构
[1] Univ Illinois, Dept Chem, Chicago, IL 60607 USA
[2] Univ Illinois, Dept Phys Biopharmaceut Sci & Chem Engn, Chicago, IL 60607 USA
关键词
SARS-CoV-2; COVID-19; peptide inhibitors; molecular dynam cs simulations; therapeutics; SPIKE; DYNAMICS; PROTEIN;
D O I
10.1021/acsnano.0c02857
中图分类号
O6 [化学];
学科分类号
070301 [无机化学];
摘要
Peptide inhibitors against the SARS-CoV-2 corona-virus, currently causing a worldwide pandemic, are designed and simulated. The inhibitors are mostly formed by two sequential self-supporting alpha-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 alpha-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.
引用
收藏
页码:5143 / 5147
页数:5
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