2021
DOI: 10.3389/fchem.2020.595097
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In Silico Study of Coumarins and Quinolines Derivatives as Potent Inhibitors of SARS-CoV-2 Main Protease

Abstract: The pandemic that started in Wuhan (China) in 2019 has caused a large number of deaths, and infected people around the world due to the absence of effective therapy against coronavirus 2 of the severe acute respiratory syndrome (SARS-CoV-2). Viral maturation requires the activity of the main viral protease (Mpro), so its inhibition stops the progress of the disease. To evaluate possible inhibitors, a computational model of the SARS-CoV-2 enzyme Mpro was constructed in complex with 26 synthetic ligands derived … Show more

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Cited by 35 publications
(26 citation statements)
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“…21 Numerous investigations have thus been performed to characterize a potential inhibitor for the SARS-CoV-2 M pro . [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36] Several compounds have been suggested to be able to inhibit the biological activity of M pro . In this context, a compound, named PF-07321332, has emerged as one of the most potent candidates for an oral antiviral therapeutic factor.…”
Section: Introductionmentioning
confidence: 99%
“…21 Numerous investigations have thus been performed to characterize a potential inhibitor for the SARS-CoV-2 M pro . [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36] Several compounds have been suggested to be able to inhibit the biological activity of M pro . In this context, a compound, named PF-07321332, has emerged as one of the most potent candidates for an oral antiviral therapeutic factor.…”
Section: Introductionmentioning
confidence: 99%
“…68 Consequently, it is better than the docking energy of 26 inhibitors of SARS-CoV-2 Mpro (ranging from À5.1 to À7.2 kcal mol À1 ) mentioned in the recent work. 65 However, the obtained affinities were smaller than the top-lead compounds of Natural Product Arlats, which the docking energies adopted in the range from À8.2 to À9.4 kcal mol À1 . 69 Unbinding ligand to rene binding affinity AutoDock Vina uses numerous approximations such as acquired united-atom model, rigid receptor, and rarely tested ligand positions, the obtained results are thus required to rene via MD simulations.…”
Section: Resultsmentioning
confidence: 85%
“…Although the number of hydrogen bond donors is 7, nafamostat has the molecular weight (347.37) < 500, LogP (2.062) < 5, and hydrogen bond acceptors (7) < 10, satisfying Lipinski’s rule [ 29 ]. The topological polar surface area of 138 Å 2 and rotatable bond count of 5 also does not violate Veber’s rule for toxicity [ 30 ]. These predictions agree with the good safety profile of nafamostat and rapid absorption after oral administration.…”
Section: Resultsmentioning
confidence: 99%