Computational design of ultrashort peptide inhibitors of the receptor-binding domain of the SARS-CoV-2 S protein. Issue 6 (26th June 2021)
- Record Type:
- Journal Article
- Title:
- Computational design of ultrashort peptide inhibitors of the receptor-binding domain of the SARS-CoV-2 S protein. Issue 6 (26th June 2021)
- Main Title:
- Computational design of ultrashort peptide inhibitors of the receptor-binding domain of the SARS-CoV-2 S protein
- Authors:
- Pei, Pengfei
Qin, Hongbo
Chen, Jialin
Wang, Fengli
He, Chengzhi
He, Shiting
Hong, Bixia
Liu, Ke
Qiao, Renzhong
Fan, Huahao
Tong, Yigang
Chen, Long
Luo, Shi-Zhong - Abstract:
- Abstract: Targeting the interaction between severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2)-receptor-binding domain (RBD) and angiotensin-converting enzyme 2 (ACE2) is believed to be an effective strategy for drug design to inhibit the infection of SARS-CoV-2. Herein, several ultrashort peptidase inhibitors against the RBD–ACE2 interaction were obtained by a computer-aided approach based on the RBD-binding residues on the protease domain (PD) of ACE2. The designed peptides were tested on a model coronavirus GX_P2V, which has 92.2 and 86% amino acid identity to the SARS-CoV-2 spike protein and RBD, respectively. Molecular dynamics simulations and binding free energy analysis predicted a potential binding pocket on the RBD of the spike protein, and this was confirmed by the specifically designed peptides SI5α and SI5α-b. They have only seven residues, showing potent antiviral activity and low cytotoxicity. Enzyme-linked immunosorbent assay result also confirmed their inhibitory ability against the RBD–ACE2 interaction. The ultrashort peptides are promising precursor molecules for the drug development of Corona Virus Disease 2019, and the novel binding pocket on the RBD may be helpful for the design of RBD inhibitors or antibodies against SARS-CoV-2.
- Is Part Of:
- Briefings in bioinformatics. Volume 22:Issue 6(2021)
- Journal:
- Briefings in bioinformatics
- Issue:
- Volume 22:Issue 6(2021)
- Issue Display:
- Volume 22, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 22
- Issue:
- 6
- Issue Sort Value:
- 2021-0022-0006-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-06-26
- Subjects:
- SARS-CoV-2 -- peptide inhibitor -- computer-aided design -- molecular dynamics simulation -- COVID-19
Genetics -- Data processing -- Periodicals
Molecular biology -- Data processing -- Periodicals
Genomes -- Data processing -- Periodicals
572.80285 - Journal URLs:
- http://bib.oxfordjournals.org ↗
http://www.oxfordjournals.org/content?genre=journal&issn=1477-4054 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/bib/bbab243 ↗
- Languages:
- English
- ISSNs:
- 1467-5463
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2283.958363
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- 19693.xml