Computational Study of Sorbic Acid Drug Adsorption onto Coronene/Fullerene/Fullerene-Like X12Y12 (X = Al, B and Y = N, P) Nanocages: DFT and Molecular Docking Investigations

2021 ◽  
Author(s):  
Y. Shyma Mary ◽  
Y. Sheena Mary ◽  
Zakir Ullah
Keyword(s):  
Molecular Docking ◽  
Sorbic Acid ◽  
Computational Study ◽  
Drug Adsorption

2,4-Dichloro-5-[(N-aryl/alkyl)sulfamoyl]benzoic Acid Derivatives: In Vitro Antidiabetic Activity, Molecular Modeling and In silico ADMET Screening

2019 ◽  
Vol 15 (2) ◽  
pp. 186-195 ◽  
Author(s):  
Samridhi Thakral ◽  
Vikramjeet Singh
Keyword(s):  
Molecular Docking ◽  
Benzoic Acid ◽  
Inhibitory Activity ◽  
In Silico ◽  
Computational Study ◽  
Antidiabetic Activity ◽  
Standard Drug ◽  
Benzoic Acid Derivatives ◽  
In Silico Admet ◽  
Inhibitory Potential

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.

Computational study of the binding mode, action mechanism and potency of pregabalin through molecular docking and quantum mechanical descriptors

2021 ◽  
Vol 1199 ◽  
pp. 113200
Author(s):  
Lorena Meneses ◽  
Sebastian Cuesta Hoyos ◽  
Guillermo Salgado Morán ◽  
Patricio Muñoz C. ◽  
Lorena Gerli Candia ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Computational Study ◽  
Binding Mode ◽  
Quantum Mechanical ◽  
Action Mechanism

scholarly journals Computational Study on Selective PDE9 Inhibitors on PDE9-Mg/Mg, PDE9-Zn/Mg, and PDE9-Zn/Zn Systems

Biomolecules ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 709
Author(s):  
Dakshinamurthy Sivakumar ◽  
Sathish-Kumar Mudedla ◽  
Seonghun Jang ◽  
Hyunjun Kim ◽  
Hyunjin Park ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Erectile Dysfunction ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Cardiovascular Diseases ◽  
Neurodegenerative Disorders ◽  
Computational Study ◽  
Dynamics Simulation ◽  
Interaction Patterns

PDE9 inhibitors have been studied to validate their potential to treat diabetes, neurodegenerative disorders, cardiovascular diseases, and erectile dysfunction. In this report, we have selected highly potent previously reported selective PDE9 inhibitors BAY73-6691R, BAY73-6691S, 28r, 28s, 3r, 3s, PF-0447943, PF-4181366, and 4r to elucidate the differences in their interaction patterns in the presence of different metal systems such as Zn/Mg, Mg/Mg, and Zn/Zn. The initial complexes were generated by molecular docking followed by molecular dynamics simulation for 100 ns in triplicate for each system to understand the interactions’ stability. The results were carefully analyzed, focusing on the ligands’ non-bonded interactions with PDE9 in different metal systems.

scholarly journals A molecular dynamics simulation study of the ACE2 receptor with screened natural inhibitors to identify novel drug candidate against COVID-19

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11171
Author(s):  
Neha Srivastava ◽  
Prekshi Garg ◽  
Prachi Srivastava ◽  
Prahlad Kishore Seth
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Binding Site ◽  
Cinnamic Acid ◽  
Simulation Study ◽  
Computational Study ◽  
Dynamics Simulation ◽  
Receptor Protein ◽  
Novel Therapeutic

Background & Objectives The massive outbreak of Novel Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) has turned out to be a serious global health issue worldwide. Currently, no drugs or vaccines are available for the treatment of COVID-19. The current computational study was attempted to identify a novel therapeutic inhibitor against novel SARS-CoV-2 using in silico drug discovery pipeline. Methods In the present study, the human angiotensin-converting enzyme 2 (ACE2) receptor was the target for the designing of drugs against the deadly virus. The 3D structure of the receptor was modeled & validated using a Swiss-model, Procheck & Errat server. A molecular docking study was performed between a group of natural & synthetic compounds having proven anti-viral activity with ACE2 receptor using Autodock tool 1.5.6. The molecular dynamics simulation study was performed using Desmond v 12 to evaluate the stability and interaction of the ACE2 receptor with a ligand. Results Based on the lowest binding energy, confirmation, and H-bond interaction, cinnamic acid (−5.20 kcal/mol), thymoquinone (−4.71 kcal/mol), and andrographolide (Kalmegh) (−4.00 kcal/mol) were screened out showing strong binding affinity to the active site of ACE2 receptor. MD simulations suggest that cinnamic acid, thymoquinone, and andrographolide (Kalmegh) could efficiently activate the biological pathway without changing the conformation in the binding site of the ACE2 receptor. The bioactivity and drug-likeness properties of compounds show their better pharmacological property and safer to use. Interpretation & Conclusions The study concludes the high potential of cinnamic acid, thymoquinone, and andrographolide against the SARS-CoV-2 ACE2 receptor protein. Thus, the molecular docking and MD simulation study will aid in understanding the molecular interaction between ligand and receptor binding site, thereby leading to novel therapeutic intervention.

scholarly journals Combinatorial Library Designing and Virtual Screening of Cryptolepine Derivatives against Topoisomerase II by Molecular Docking

2020 ◽  
Author(s):  
Maria ◽  
Zahid Khan
Keyword(s):  
Molecular Docking ◽  
Cell Division ◽  
Binding Energy ◽  
Cancer Cells ◽  
Anticancer Agents ◽  
Combinatorial Library ◽  
Topoisomerase Ii ◽  
Computational Study ◽  
Binding Energies ◽  
Potential Inhibitors

AbstractComputational approaches have emerging role for designing potential inhibitors against topoisomerase 2 for treatment of cancer. TOP2A plays a key role in DNA replication before cell division and thus facilitates the growth of cells. This function of TOP2A can be suppressed by targeting with potential inhibitors in cancer cells to stop the uncontrolled cell division. Among potential inhibitors cryptolepine is more selective and has the ability to intercalate into DNA, effectively block TOP2A and cease cell division in cancer cells. However, cryptolepine is non-specific and have low affinity, therefore, a combinatorial library was designed and virtually screened for identification of its derivatives with greater TOP2A binding affinities.A combinatorial library of 31114 derivatives of cryptolepine was formed and the library was virtually screened by molecular docking to predict the molecular interactions between cryptolepine derivatives and TOP2A taking cryptolepine as standard. The overall screening and docking approach explored all the binding poses of cryptolepine for TOP2A to calculate binding energy. The compounds are given database number 8618, 907, 147, 16755, and 8186 scored lowest binding energies of −9.88kcal/mol, −9.76kcal/mol, −9.75kcal/mol, −9.73kcal/mol, and −9.72kcal/mol respectively and highest binding affinity while cryptolepine binding energy is −6.09kcal/mol. The good binding interactions of the derivatives showed that they can be used as potent TOP2A inhibitors and act as more effective anticancer agents than cryptolepine itself. The interactions of derivatives with different amino acid residues were also observed. A comprehensive understanding of the interactions of proposed derivatives with TOP2A helped for searching more novel and potent drug-like molecules for anticancer therapy. This Computational study suggests useful references to understand inhibition mechanisms that will help in the modification of TOP2A inhibitors.

Exploring the binding properties of agonists interacting with human TGR5 using structural modeling, molecular docking and dynamics simulations

RSC Advances ◽  
2015 ◽  
Vol 5 (19) ◽  
pp. 14202-14213 ◽  
Author(s):  
Thangaraj Sindhu ◽  
Pappu Srinivasan
Keyword(s):  
Molecular Docking ◽  
Binding Site ◽  
Type Ii Diabetes ◽  
Computational Study ◽  
Structural Modeling ◽  
Type Ii ◽  
Binding Properties ◽  
Pharmacological Target ◽  
Dynamics Simulations ◽  
Molecular Docking And Dynamics

TGR5, act as a potential pharmacological target in the treatment of type II diabetes. In the computational study, structural modeling and binding site prediction of TGR5 receptor was performed. Two well-known agonists of TGR5 used to investigate the mode and mechanism of binding.

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