A Novel Artificial Neural Network (ANN) Using The Mayfly Algorithm for Classification

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Effectiveness of Natural Antioxidants against SARS-CoV-2? Insights from the In-Silico World

The SARS CoV-2 pandemic has affected millions of people around the globe. Despite many efforts to find some effective medicines against SARS CoV-2, no established therapeutics are available yet. The use of phytochemicals as antiviral agents provides hope against the proliferation of SARS-CoV-2. Several natural compounds were analyzed by virtual screening against six SARS CoV-2 protein targets using molecular docking simulations in the present study. More than a hundred plant-derived secondary metabolites have been docked, including alkaloids, flavonoids, coumarins, and steroids. SARS CoV-2 protein targets include Main protease (M(Pro)), Papain-like protease (PL(pro)), RNA-dependent RNA polymerase (RdRp), Spike glycoprotein (S), Helicase (Nsp13), and E-Channel protein. Phytochemicals were evaluated by molecular docking, and MD simulations were performed using the YASARA structure using a modified genetic algorithm and AMBER03 force field. Binding energies and dissociation constants allowed the identification of potentially active compounds. Ligand-protein interactions provide an insight into the mechanism and potential of identified compounds. Glycyrrhizin and its metabolite 18-β-glycyrrhetinic acid have shown a strong binding affinity for M(Pro), helicase, RdRp, spike, and E-channel proteins, while a flavonoid Baicalin also strongly binds against PL(pro) and RdRp. The use of identified phytochemicals may help to speed up the drug development and provide natural protection against SARS-CoV-2

Synthesis, Spectroscopic Characterization, DFT and Molecular Dynamics of Quinoline-based Peptoids

Peptoids mimic the functions of peptides which have a side chain appended to amidic nitrogen instead of α carbon. This structural change in their backbone gives them increased resistance from proteolysis, improved biostability, greater immunogenicity, and better bioavailability. Therefore, they are specifically designed for various biological activities, including antibacterial, antifungal, antioxidant, antifouling, and anticancer properties. The aim of the research is the one-pot synthesis of quinoline-based peptoids 5(a-b) via Ugi-4CR by the reaction of 1R-(-)-myrtenal 1, benzylamine 2, quinoline-based carboxylic acids 3(a-b), and cyclohexyl isocyanide 4. These peptoids were characterized by FT-IR, 1H NMR, 13C NMR, and HR ESI-MS. In computational studies, the spectral results of 5(a-b) were compared with the calculated spectral values computed at B3LYP/6-311G (d,p) level. TD-DFT method was used to predict electron excitation of 5(a-b) and the contribution of orbitals. The electronic transition of peptoids from charge distribution was computed using natural bond order (NBO) analysis. NPA and MEP analysis was calculated to predict charge distribution in 5(a-b). The FMOs analysis was executed to calculate the global reactivity descriptor to predict the reactivity and stability of peptoids. DFT analysis showed that 5b was slightly more reactive than 5a due to extended conjugation. The biological activities were also predicted using an in silico approach that involved molecular docking and molecular dynamic (MD) simulations. The antiulcer, antibacterial, and antifungal activities were predicted based on ligand–protein binding interactions, binding energy calculations, and dissociation constants. 5(a-b) were evaluated in-vitro for anticholinesterase activity, and they showed 71% inhibition. The umbrella sampling was performed to probe ligand–protein binding

2,3-Dihydroquinazolin-4(1H)-one as a New Class of Anti-Leishmanial Agents: A Combined Experimental and Computational Study

Leishmaniasis is a neglected parasitic disease caused by various Leishmania species. The discovery of new protozoa drugs makes it easier to treat the disease; but, conventional clinical issues like drug resistance, cumulative toxicity, and target selectivity are also getting attention. So, there is always a need for new therapeutics to treat Leishmaniasis. Here, we have reported 2,3-dihydroquinazolin-4(1H)-one derivative as a new class of anti-leishmanial agents. Two derivatives, 3a (6,8-dinitro-2,2-disubstituted-2,3-dihydroquinazolin-4(1H)-ones) and 3b (2-(4-chloro-3-nitro-phenyl)-2-methyl-6,8-dinitro-2,3-dihydro-1H-quinazolin-4-one) were prepared that show promising in silico anti-leishmanial activities. Molecular docking was performed against the Leishmanial key proteins including Pyridoxal Kinase and Trypanothione Reductase. The stability of the ligand-protein complexes was further studied by 100 ns MD simulations and MM/PBSA calculations for both compounds. 3b has been shown to be a better anti-leishmanial candidate. In vitro studies also agree with the in-silico results where IC50 for 3a and 3b was 1.61 and 0.05 µg/mL, respectively

2,3-Dihydroquinazolin-4(1<i>H</i>)-one as a New Class of Anti-Leishmanial Agents: A Combined Experimental and Computational Study

Leishmaniasis is a neglected parasitic disease caused by various Leishmania species. The discovery of new protozoa drugs makes it easier to treat the disease; but, conventional clinical issues like drug resistance, cumulative toxicity, and target selectivity are also getting attention. So, there is always a need for new therapeutics to treat Leishmaniasis. Here, we have reported 2,3-dihydroquinazolin-4(1H)-one derivative as a new class of anti-leishmanial agents. Two derivatives, 3a (6,8-dinitro-2,2-disubstituted-2,3-dihydroquinazolin-4(1H)-ones) and 3b (2-(4-chloro-3-nitro-phenyl)-2-methyl-6,8-dinitro-2,3-dihydro-1H-quinazolin-4-one) were prepared that show promising in silico anti-leishmanial activities. Molecular docking was performed against the Leishmanial key proteins including Pyridoxal Kinase and Trypanothione Reductase. The stability of the ligand-protein complexes was further studied by 100 ns MD simulations and MM/PBSA calculations for both compounds. 3b has been shown to be a better anti-leishmanial candidate. In vitro studies also agree with the in-silico results where IC50 for 3a and 3b was 1.61 and 0.05 µg/mL, respectively

Synthesis, spectroscopic characterization, DFT and molecular dynamics of quinoline-based peptoids

Peptoids mimic the functions of peptides which have a side chain appended to amidic nitrogen instead of α carbon. This structural change in their backbone gives them increased resistance from proteolysis, improved biostability, greater immunogenicity, and better bioavailability. Therefore, they are specifically designed for various biological activities, including antibacterial, antifungal, antioxidant, antifouling, and anticancer properties. The aim of the research is the one-pot synthesis of quinoline-based peptoids 5(a-b) via Ugi-4CR by the reaction of 1R-(-)-myrtenal 1, benzylamine 2, quinoline-based carboxylic acids 3(a-b), and cyclohexyl isocyanide 4. These peptoids were characterized by FT-IR, 1H NMR, 13C NMR, and HR ESI-MS. In computational studies, the spectral results of 5(a-b) were compared with the calculated spectral values computed at B3LYP/6-311G (d,p) level. TD-DFT method was used to predict electron excitation of 5(a-b) and the contribution of orbitals. The electronic transition of peptoids from charge distribution was computed using natural bond order (NBO) analysis. NPA and MEP analysis was calculated to predict charge distribution in 5(a-b). The FMOs analysis was executed to calculate the global reactivity descriptor to predict the reactivity and stability of peptoids. DFT analysis showed that 5b was slightly more reactive than 5a due to extended conjugation. The biological activities were also predicted using an in silico approach that involved molecular docking and molecular dynamic (MD) simulations. The antiulcer, antibacterial, and antifungal activities were predicted based on ligand–protein binding interactions, binding energy calculations, and dissociation constants. 5(a-b) were evaluated in-vitro for anticholinesterase activity, and they showed 71% inhibition. The umbrella sampling was performed to probe ligand–protein binding