Isolation and characterization of ACE-I inhibitory peptides from ribbonfish for a potential inhibitor of the main protease of SARS-CoV-2; an in-silico analysis.
Recently, multi-functional fish peptides (FWPs) have gained a lot of attention because of their different biological activities. In the present study, three Angiotensin-I Converting Enzyme (ACE-I) inhibitory peptides [Ala-Pro-Asp-Gly (APDG), Pro-Thr-Arg (PTR), and Ala-Asp (AD)] were isolated and characterized from ribbonfish protein hydrolysate (RFPH) and described their mechanism of action on ACE activity. As per the results peptide PTR showed ≈ 2 and 2.5-fold higher enzyme inhibitory activity (IC50 = 0.643 ± 0.0011 μM) than APDG (IC50 = 1.061 ± 0.0127 μM) and AD (IC50= 2.046 ± 0.0130 μM). Based on experimental evidence, peptides were used for in silico analysis to check the inhibitory activity of the main protease (PDB: 7BQY) of SARS-CoV-2. The results of the study reveal that PTR (-46.16 Kcal/mol) showed higher binding affinity than APDG (-36.80 Kcal/mol) and AD (-30.24 Kcal/mol) compared to Remdesivir (-30.64 Kcal/mol). Additionally, physicochemical characteristics of all the isolated peptides exhibited appropriate pharmacological properties and were found to be nontoxic. Besides, 20 ns molecular dynamic simulation study confirms the rigid nature, fewer confirmation variations and binding stiffness of the peptide PTR with the main protease of SARS-CoV-2. Therefore, the present study strongly suggested that PTR is the perfect substrate for inhibiting the main protease of SARS-CoV-2 through the in-silico study, and this potential drug candidate may promote the researcher for future wet-lab experiments. This article is protected by copyright. All rights reserved.
['Yathisha|Undiganalu Gangadharappa|UG|', 'Srinivasa|Mahendra Gowdru|MG|', 'Siddappa B C|Revana|R|', 'Mandal|Shankar P|SP|', 'Dixit|Sheshagiri R|SR|', 'Pujar|G V|GV|', 'Bs|Mamatha|M|https://orcid.org/0000-0002-4957-9098']
SARS-CoV-2 ACE-I inhibitory peptides: LCMS/MS Fish protein hydrolysate MD simulations Molecular docking