2022
DOI: 10.3389/fphar.2022.817715
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Discovery of Novel and Highly Potent Inhibitors of SARS CoV-2 Papain-Like Protease Through Structure-Based Pharmacophore Modeling, Virtual Screening, Molecular Docking, Molecular Dynamics Simulations, and Biological Evaluation

Abstract: Background and Objective: COVID-19 has struck our society as a great calamity, and the need for effective anti-viral drugs is more urgent than ever. Papain-like protease (PLpro) of SARS CoV-2 plays important roles in virus maturation, dysregulation of host inflammation, and antiviral immune responses, which is being regarded as a promising druggable target for the treatment of COVID-19. Here, we carried out a combined screening approach to identify novel and highly potent PLpro inhibitors for the treatment of … Show more

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Cited by 7 publications
(8 citation statements)
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“…53 A combination of pharmacophores and docking led to 4 low μM hits against PL pro although no antiviral activity was assessed. 54 A MedChemExpress library high throughput screen of 9791 compounds against PL pro led to three hits including the clinical candidate FXR agonist tropifexor 55 which was a low μM hit active in Calu-3 cells. A docking and structure-based design approach was used to identify indole dual inhibitors for PL pro and M pro with antiviral activity.…”
Section: ■ Discussionmentioning
confidence: 99%
“…53 A combination of pharmacophores and docking led to 4 low μM hits against PL pro although no antiviral activity was assessed. 54 A MedChemExpress library high throughput screen of 9791 compounds against PL pro led to three hits including the clinical candidate FXR agonist tropifexor 55 which was a low μM hit active in Calu-3 cells. A docking and structure-based design approach was used to identify indole dual inhibitors for PL pro and M pro with antiviral activity.…”
Section: ■ Discussionmentioning
confidence: 99%
“… Target Docking software Molecular dynamics Drugs tested Promising anti-viral ligands Ref. 6W9C AutoDock Tools GROMACS Multiple drug databases MFCD00832476, MFCD02180753, Bemcentinib, Pacritinib Ergotamine [113] 7JN2 Maestro Desmond Database generated by AI integration A3659, A3777, A3777 [114] 7CMD MOE GROMACS In-house database contains 35,000 compounds Unnamed [115] 6WX4 Maestro AMBER 149 polyphenols Leucopelargonidin, Taxifolin, Morin, Eriodictyol, Myricetin, Enterodiol [116] 6WX4 YASARA YASARA 14,000 phytochemicals Baicalin, Hesperidin, Naringen, Flemiflavanone D, Euchrestaflavanone A [117] 7CJM AutoDock Vina AMBER FoodComEx database Triamterene, Estrone, Ibuprofen, Chlorpheniramine [118] 6W9C) AutoDock Tools GROMACS ChEBML database Azadirachtin-H Azadirachtin-I Azadirachtin-Q Azadirachtin [119] 7JN2 Glide Desmond SuperNatural Database ...…”
Section: Targeted Proteins Using In Silico Methodsmentioning
confidence: 99%
“…ADMETlab web server (https://admetmesh.scbdd.com/) was used to predict the ADME properties of selected hits (Tian et al, 2022). The molecular weight (mol_MW), number of hydrogen bond acceptors (nHA), number of hydrogen bond donors (nHD), log of the octanol/water partition coefficient (logP), and log of the aqueous solubility (LogS) were evaluated.…”
Section: In Silico Adme Studiesmentioning
confidence: 99%
“…According to a previously reported method (Tian et al, 2022), protein-hit complexes were investigated by molecular dynamics simulation using Groningen machine for chemical simulations software (GROMACS).…”
Section: Molecular Dynamics Simulationsmentioning
confidence: 99%
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