Innovative Peptide Therapeutics for SARS-CoV-2: Design, Docking, and Functional Analysis
The use of bioinformatics algorithms to develop engineered peptides with high affinity for SARS-CoV-2 virulence proteins offers a promising outlook for peptide-based therapies against SARS-CoV-2. It also presents a promising approach for developing therapeutic methods against other viral diseases. Furthermore, these computational insights lay the groundwork for subsequent in vitro and in vivo validation studies to ascertain the therapeutic efficacy and safety profiles of the identified peptide candidates.
Authors
- Sanaz Mahmazi (ORCID: https://orcid.org/0000-0003-2022-4354)
- Samaneh Karimkhanilouei (ORCID: https://orcid.org/0000-0002-1307-6894)
- Keivan Nedaei (ORCID: https://orcid.org/0000-0002-0616-3244)
- Ghorbian Saeid
- Changiz Ahmadizadeh
Institutions
- Zanjan University of Medical Sciences (IR)
- Islamic Azad University of Tabriz (IR)
- Islamic Azad University of Zanjan (IR)
- Islamic Azad University of Ahar (IR)
Publication Details
- Journal
- Iranian journal of pharmaceutical research
- Published
- 2026-02-15
- DOI
- https://doi.org/10.5812/ijpr-160762
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00