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Synthesis and in Silico Investigation of Organoselenium-Clubbed Schiff Bases as Potential Mpro Inhibitors for the SARS-CoV-2 Replication

Saad Shaaban, Aly Abdou, Abdulrahman G. Alhamzani, Mortaga M. Abou–Krisha, Mahmoud A. Al‐Qudah, Mohamed Alaasar, Ibrahim Youssef, Tarek A. Yousef

2023Life67 citationsDOIOpen Access PDF

Abstract

Since the first report of the organoselenium compound, ebselen, as a potent inhibitor of the SARS-CoV-2 Mpro main protease by Z. Jin et al. (Nature, 2020), different OSe analogs have been developed and evaluated for their anti-COVID-19 activities. Herein, organoselenium-clubbed Schiff bases were synthesized in good yields (up to 87%) and characterized using different spectroscopic techniques. Their geometries were studied by DFT using the B3LYP/6–311 (d, p) approach. Ten FDA-approved drugs targeting COVID-19 were used as model pharmacophores to interpret the binding requirements of COVID-19 inhibitors. The antiviral efficiency of the novel organoselenium compounds was assessed by molecular docking against the 6LU7 protein to investigate their possible interactions. Our results showed that the COVID-19 primary protease bound to organoselenium ligands with high binding energy scores ranging from −8.19 to −7.33 Kcal/mol for 4c and 4a to −6.10 to −6.20 Kcal/mol for 6b and 6a. Furthermore, the docking data showed that 4c and 4a are good Mpro inhibitors. Moreover, the drug-likeness studies, including Lipinski’s rule and ADMET properties, were also assessed. Interestingly, the organoselenium candidates manifested solid pharmacokinetic qualities in the ADMET studies. Overall, the results demonstrated that the organoselenium-based Schiff bases might serve as possible drugs for the COVID-19 epidemic.

Topics & Concepts

PharmacophoreChemistryDocking (animal)ProteaseIn silicoCoronavirus disease 2019 (COVID-19)StereochemistrySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Lipinski's rule of fiveCombinatorial chemistryBiochemistryEnzymeMedicineInfectious disease (medical specialty)GeneNursingDiseasePathologySynthesis and biological activityComputational Drug Discovery MethodsMetal complexes synthesis and properties