Computational Design of ACE2-Based Peptide Inhibitors of SARS-CoV-2
- PMID: 32286790
- PMCID: PMC7163933
- DOI: 10.1021/acsnano.0c02857
Computational Design of ACE2-Based Peptide Inhibitors of SARS-CoV-2
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.
Keywords: COVID-19; SARS-CoV-2; molecular dynamics simulations; peptide inhibitors; therapeutics.
Conflict of interest statement
The authors declare no competing financial interest.
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