Inhibitory Potential of a Designed Peptide Inhibitor Based on Zymogen Structure of Trypsin from Spodoptera frugiperda: In Silico Insights

Author(s):  
Seyed Ali Hemmati ◽  
Narges Karam Kiani ◽  
José Eduardo Serrão ◽  
Jitrayut Jitonnom
2019 ◽  
Vol 15 (2) ◽  
pp. 186-195 ◽  
Author(s):  
Samridhi Thakral ◽  
Vikramjeet Singh

Background: Postprandial hyperglycemia can be reduced by inhibiting major carbohydrate hydrolyzing enzymes, such as α-glucosidase and α-amylase which is an effective approach in both preventing and treating diabetes. Objective: The aim of this study was to synthesize a series of 2,4-dichloro-5-[(N-aryl/alkyl)sulfamoyl] benzoic acid derivatives and evaluate α-glucosidase and α-amylase inhibitory activity along with molecular docking and in silico ADMET property analysis. Method: Chlorosulfonation of 2,4-dichloro benzoic acid followed by reaction with corresponding anilines/amines yielded 2,4-dichloro-5-[(N-aryl/alkyl)sulfamoyl]benzoic acid derivatives. For evaluating their antidiabetic potential α-glucosidase and α-amylase inhibitory assays were carried out. In silico molecular docking studies of these compounds were performed with respect to these enzymes and a computational study was also carried out to predict the drug-likeness and ADMET properties of the title compounds. Results: Compound 3c (2,4-dichloro-5-[(2-nitrophenyl)sulfamoyl]benzoic acid) was found to be highly active having 3 fold inhibitory potential against α-amylase and 5 times inhibitory activity against α-glucosidase in comparison to standard drug acarbose. Conclusion: Most of the synthesized compounds were highly potent or equipotent to standard drug acarbose for inhibitory potential against α-glucosidase and α-amylase enzyme and hence this may indicate their antidiabetic activity. The docking study revealed that these compounds interact with active site of enzyme through hydrogen bonding and different pi interactions.


2019 ◽  
Vol 15 (4) ◽  
pp. 318-333
Author(s):  
Dipak P. Mali ◽  
Neela M. Bhatia

Objective:To screen the phytochemicals for phosphodiesterase 5A (PDE5A) inhibitory potential and identify lead scaffolds of antihypertensive phytochemicals using in silico docking studies.Methods:In this perspective, reported 269 antihypertensive phytochemicals were selected. Sildenafil, a PDE5A inhibitor was used as the standard. In silico docking study was carried out to screen and identify the inhibiting potential of the selected phytochemicals against PDE5A enzyme using vLife MDS 4.4 software.Results:Based on docking score, π-stacking, H-bond and ionic interactions, 237 out of 269 molecules were selected which have shown one or more interactions. Protein residue Gln817A was involved in H-boding whereas Val782A, Phe820A and Leu804A were involved in π-stacking interaction with ligand. The selected 237 phytochemicals were structurally diverse, therefore 82 out of 237 molecules with one or more tricycles were filtered out for further analysis. Amongst tricyclic molecules, 14 molecules containing nitrogen heteroatom were selected for lead scaffold identification which finally resulted in three different basic chemical backbones like pyridoindole, tetrahydro-pyridonaphthyridine and dihydro-pyridoquinazoline as lead scaffolds.Conclusion:In silico docking studies revealed that nitrogen-containing tetrahydro-pyridonaphthyridine and dihydro-pyridoquinazoline tricyclic lead scaffolds have emerged as novel PDE5A inhibitors for antihypertensive activity. The identified lead scaffolds may provide antihypertensive lead molecules after its optimization.


2021 ◽  
Author(s):  
Von Novi de Leon ◽  
Joe Anthony Manzano ◽  
Delfin Yñigo H. Pilapil ◽  
Rey Arturo T. Fernandez ◽  
James Kyle Ching ◽  
...  

<p>Background: Accessing COVID-19 vaccines is a challenge despite successful clinical trials. This burdens the COVID-19 treatment gap, thereby requiring accelerated discovery of anti-SARS-CoV-2 agents. Thus, this study explored the potential of anti-HIV reverse transcriptase (RT) phytochemicals as inhibitors of SARS-CoV-2 non-structural proteins (nsps) by targeting <i>in silico</i> key sites in the structures of SARS-CoV-2 nsps. Moreover, structures of the anti-HIV compounds were considered for druggability and toxicity. 104 anti-HIV phytochemicals were subjected to molecular docking with papain-like protease (nsp3), 3-chymotrypsin-like protease (nsp5), RNA-dependent RNA polymerase (nsp12), helicase (nsp13), SAM-dependent 2’-<i>O-</i>methyltransferase (nsp16) and its cofactor (nsp10), and endoribonuclease (nsp15). Drug-likeness and ADME (absorption, distribution, metabolism, and excretion) properties of the top ten compounds per nsp were predicted using SwissADME. Their toxicity was also determined using OSIRIS Property Explorer.</p> <p>Results: Among the twenty-seven top-scoring compounds, the polyphenolic natural products amentoflavone (<b>1</b>), robustaflavone (<b>4</b>), punicalin (<b>9</b>), volkensiflavone (<b>11</b>), rhusflavanone (<b>13</b>), morelloflavone (<b>14</b>), hinokiflavone (<b>15</b>), and michellamine B (<b>19</b>) were multi-targeting and had the strongest affinities to at least two of the nsps (Binding Energy = -7.7 to -10.8 kcal/mol). Friedelin (<b>2</b>), pomolic acid (<b>5</b>), ursolic acid (<b>10</b>), garcisaterpenes A (<b>12</b>), hinokiflavone (<b>15</b>), and digitoxigenin-3-<i>O-</i>glucoside (<b>17</b>) were computationally druggable. Moreover, compounds <b>5</b> and <b>17</b> showed good gastrointestinal absorptive property. Most of the compounds were also predicted to be non-toxic.</p> <p>Conclusions: Twenty anti-HIV RT phytochemicals showed multi-targeting inhibitory potential against SARS-CoV-2 nsp3, 5, 10, 12, 13, 15, and 16, and can therefore be used as prototypes for anti-COVID-19 drug design.</p>


2014 ◽  
Vol 13 (1) ◽  
pp. 32-43
Author(s):  
Asokan R. ◽  
K. Roopa H. ◽  
B. Rebijith K. ◽  
H. Ranjitha H. ◽  
K. Krishna Kumar N.

2019 ◽  
Vol 86 ◽  
pp. 296-304 ◽  
Author(s):  
Suat Sari ◽  
Burak Barut ◽  
Arzu Özel ◽  
Ayşe Kuruüzüm-Uz ◽  
Didem Şöhretoğlu

2019 ◽  
Vol 27 (6) ◽  
pp. 1009-1022 ◽  
Author(s):  
Arshia ◽  
Farida Begum ◽  
Noor Barak Almandil ◽  
Muhammad Arif Lodhi ◽  
Khalid Mohammed Khan ◽  
...  

2018 ◽  
Vol 37 (2) ◽  
pp. 481-492 ◽  
Author(s):  
Vishnu Kant ◽  
Saravanan Vijayakumar ◽  
Ganesh Chandra Sahoo ◽  
Vahab Ali ◽  
Kuljit Singh ◽  
...  

2015 ◽  
Vol 25 (4) ◽  
pp. 382-386 ◽  
Author(s):  
Carolina dos Santos Passos ◽  
Luiz Carlos Klein-Júnior ◽  
Juliana Maria de Mello Andrade ◽  
Cristiane Matté ◽  
Amélia Teresinha Henriques

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