Ultra-Large-Scale Screening of Natural Compounds and Free Energy Calculations Revealed Potential Inhibitors for the Receptor-Binding Domain (RBD) of SARS-CoV-2.
Lisha GuoFaryar ZafarNawal MoeenFahad M AlshabrmiJunqi LinSyed Shujait AliMuhammad MunirAbbas KhanDong-Qing WeiPublished in: Molecules (Basel, Switzerland) (2022)
The emergence of immune-evading variants of SARS-CoV-2 further aggravated the ongoing pandemic. Despite the deployments of various vaccines, the acquired mutations are capable of escaping both natural and vaccine-induced immune responses. Therefore, further investigation is needed to design a decisive pharmacological treatment that could efficiently block the entry of this virus into cells. Hence, the current study used structure-based methods to target the RBD of the recombinant variant (Deltacron) of SARS-CoV-2, which was used as a model variant. From the virtual drug screenings of various databases, a total of four hits were identified as potential lead molecules. Key residues were blocked by these molecules with favorable structural dynamic features. The binding free energies further validated the potentials of these molecules. The TBE for MNP was calculated to be -32.86 ± 0.10 kcal/mol, for SANC00222 the TBE was -23.41 ± 0.15 kcal/mol, for Liriodenine the TBE was -34.29 ± 0.07 kcal/mol, while for Carviolin the TBE was calculated to be -27.67 ± 0.12 kcal/mol. Moreover, each complex demonstrated distinct internal motion and a free energy profile, indicating a different strategy for the interaction with and inhibition of the RBD. In conclusion, the current study demands further in vivo and in vitro validation for the possible usage of these compounds as potential drugs against SARS-CoV-2 and its variants.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- immune response
- induced apoptosis
- copy number
- drug induced
- gene expression
- high resolution
- density functional theory
- molecular dynamics
- molecular dynamics simulations
- high glucose
- emergency department
- binding protein
- endoplasmic reticulum stress
- big data
- cell proliferation
- genome wide
- cell death
- smoking cessation
- adverse drug