Computational Investigation of Versatile Activity of Piperine

2019 ◽  
pp. 127-139
Author(s):  
Thenmozhi Marudhadurai ◽  
Navabshan Irfan
Keyword(s):  
Docking Study ◽  
Black Pepper ◽  
Docking Studies ◽  
Therapeutic Activity ◽  
Computational Docking ◽  
Target Proteins ◽  
Protein Ligand Interactions ◽  
Ligand Interactions ◽  
Anti Oxidant ◽  
Inhibition Property

Piperine is known for its versatile therapeutic activity. It has been used for various disease conditions (e.g., cold, cough, etc.). Piperine is an alkaloid found in black pepper. It possesses various pharmacological actions like anti-inflammatory, anti-oxidant, anti-cholinergic, and anti-cancerous. The above-mentioned properties will be studied by selecting target proteins COX-2 protein, angiotensin converting enzyme, acetylcholineesterases, and survivin using computational docking study. This chapter explains the inhibition property of piperine against selected target protein from the results of docking studies. Based on the docking scores and protein-ligand interactions, piperine was found to bind well in the active site of the selected target proteins. It ensures the binding efficacy of piperine against selected target proteins. Docking scores and protein-ligand interactions plays an important role in its therapeutic activity.

Combiphore (Structure and Ligand Based Pharmacophore) - Approach for the Design of GPR40 Modulators in the Management of Diabetes

2020 ◽  
Vol 17 (2) ◽  
pp. 233-247
Author(s):  
Krishna A. Gajjar ◽  
Anuradha K. Gajjar
Keyword(s):  
Molecular Docking ◽  
Structural Information ◽  
Docking Studies ◽  
Structural Motif ◽  
Roc Curve Analysis ◽  
Ligand Complex ◽  
Discovery Studio ◽  
Protein Ligand Interactions ◽  
Ligand Interactions ◽  
Pharmacophore Models

Background: Pharmacophore mapping and molecular docking can be synergistically integrated to improve the drug design and discovery process. A rational strategy, combiphore approach, derived from the combined study of Structure and Ligand based pharmacophore has been described to identify novel GPR40 modulators. Methods: DISCOtech module from Discovery studio was used for the generation of the Structure and Ligand based pharmacophore models which gave hydrophobic aromatic, ring aromatic and negative ionizable as essential pharmacophoric features. The generated models were validated by screening active and inactive datasets, GH scoring and ROC curve analysis. The best model was exposed as a 3D query to screen the hits from databases like GLASS (GPCR-Ligand Association), GPCR SARfari and Mini-Maybridge. Various filters were applied to retrieve the hit molecules having good drug-like properties. A known protein structure of hGPR40 (pdb: 4PHU) having TAK-875 as ligand complex was used to perform the molecular docking studies; using SYBYL-X 1.2 software. Results and Conclusion: Clustering both the models gave RMSD of 0.89. Therefore, the present approach explored the maximum features by combining both ligand and structure based pharmacophore models. A common structural motif as identified in combiphore for GPR40 modulation consists of the para-substituted phenyl propionic acid scaffold. Therefore, the combiphore approach, whereby maximum structural information (from both ligand and biological protein) is explored, gives maximum insights into the plausible protein-ligand interactions and provides potential lead candidates as exemplified in this study.

Selection of oxypeucedanin as a potential antagonist from molecular docking analysis of HSP90

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Joshua Oluwasegun Bamidele ◽  
George Oche Ambrose ◽  
Oluwaseun Suleiman Alakanse
Keyword(s):  
Molecular Docking ◽  
Liver Toxicity ◽  
Docking Study ◽  
Docking Studies ◽  
Molecular Docking Study ◽  
Docking Analysis ◽  
Computational Docking ◽  
Drug Candidates ◽  
Expression Rate ◽  
Client Proteins

AbstractHSP90 is observed as one of the copious molecular chaperones that play a key role in mediating appropriate folding, maturation, and firmness of many client proteins in cells. The expression rate of HSP90 in cancer cells is at a level of 2- to 10-fold higher than the 1- to 2-fold of its unstressed and healthy ones. To combat this, several inhibitors to HSP90 protein have been studied (such as geldanamycin and its derivative 17-AAG and 17-DMAG) and have shown some primary side effects including plague, nausea, vomiting, and liver toxicity, hence the search for the best-in-class inhibitor for this protein through in silico. This study is aimed at analyzing the inhibitory potency of oxypeucedanin-a furocoumarin derivations, which have been reported to have antipoliferative activity in human prostrate carcinoma DN145 cells, and three other drug candidates retrieved from the literature via computational docking studies. The results showed oxypeucedanin as the compound with the highest binding energy of −9.2 kcal/mol. The molecular docking study was carried out using PyRx, Auto Dock Vina option, and the target was validated to confirm the proper target and the docking procedure employed for this study.

scholarly journals The structural diversity of ginsenosides affects their cholinesterase inhibitory potential

2020 ◽  
Vol 45 (2) ◽  
Author(s):  
Eda Özturan Özer ◽  
Oya Unsal Tan ◽  
Suna Turkoglu
Keyword(s):  
Molecular Docking ◽  
Enzyme Inhibitor ◽  
Direct Interaction ◽  
Structural Diversity ◽  
Docking Studies ◽  
Catalytic Triad ◽  
Active Components ◽  
Molecular Docking Studies ◽  
Protein Ligand Interactions ◽  
Ligand Interactions

AbstractBackground/ObjectiveGinsenosides, the major active components of the ginseng, are known to have various effects on nervous systems. The present study aimed to clarify the inhibition potentials of ginsenosides Rb1, Rc, Re and Rg1 on acetylcholinesterase (AChE) and butrylcholinesterase (BChE) activities, and to evaluate the underlying mechanisms of inhibitions provided by protein-ligand interactions considering their probable candidates of prodrug.Materials and methodsThe inhibitory mechanisms of ginsenosides related with their structural diversity were analyzed kinetically and protein-ligand interactions for both enzymes were evaluated with most potent ginsenosides, by molecular docking studies.ResultsGinsenosides Re and Rg1, with sugar moieties attached to the C-6 and C-20 positions of core structure were found to possess the most powerful inhibitory effect on AChE and BChE activities. Molecular docking studies have been confirmed by kinetic studies. Ginsenosides having a direct interaction with amino acid residues belonging to the catalytic triad revealed the most powerful inhibition with lowest enzyme-inhibitor dissociation constant (Ki) values.ConclusionsGinsenosides Re and Rg1, either alone or in a specific combination, may provide beneficial effects on neurodegenerative pathologies in therapeutic terms.

X-ray Crystallography and Computational Docking for the Detection and Development of Protein–Ligand Interactions

2013 ◽  
Vol 20 (4) ◽  
pp. 569-575
Author(s):  
N.M. Kershaw ◽  
G.S.A. Wright ◽  
R. Sharma ◽  
S.V. Antonyuk ◽  
R.W. Strange ◽  
...  
Keyword(s):  
Computational Docking ◽  
X Ray ◽  
X Ray Crystallography ◽  
Protein Ligand Interactions ◽  
Ligand Interactions

scholarly journals Structure Based Design and Molecular Docking Studies for Phosphorylated Tau Inhibitors in Alzheimer’s Disease

Cells ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 260 ◽  
Author(s):  
Jangampalli Pradeepkiran ◽  
P. Reddy
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Molecular Docking ◽  
Drug Target ◽  
Docking Studies ◽  
Toxicity Tests ◽  
Phosphorylated Tau ◽  
Protein Ligand Interactions ◽  
Ligand Interactions ◽  
Alternative Drug

The purpose of our study is to identify phosphorylated tau (p-tau) inhibitors. P-tau has recently received great interest as a potential drug target in Alzheimer’s disease (AD). The continuous failure of Aβ-targeted therapeutics recommends an alternative drug target to treat AD. There is increasing evidence and growing awareness of tau, which plays a central role in AD pathophysiology, including tangles formation, abnormal activation of phosphatases/kinases, leading p-tau aggregation in AD neurons. In the present study, we performed computational pharmacophore models, molecular docking, and simulation studies for p-tau in order to identify hyperphosphorylated sites. We found multiple serine sites that altered the R1/R2 repeats flanking sequences in the tau protein, affecting the microtubule binding ability of tau. The ligand molecules exhibited the p-O ester scaffolds with inhibitory and/or blocking actions against serine residues of p-tau. Our molecular docking results revealed five ligands that showed high docking scores and optimal protein-ligand interactions of p-tau. These five ligands showed the best pharmacokinetic and physicochemical properties, including good absorption, distribution, metabolism, and excretion (ADME) and admetSAR toxicity tests. The p-tau pharmacophore based drug discovery models provide the comprehensive and rapid drug interventions in AD, and tauopathies are expected to be the prospective future therapeutic approach in AD.

scholarly journals Mechanistic Validation of an Ergogenic T. arjuna Standardized Extract (Oxyjun®) Using a Molecular Docking Approach

2021 ◽  
pp. 54-63
Author(s):  
Kavita Pandey ◽  
Gursimran Kaur Uppal ◽  
Ratna Upadhyay
Keyword(s):  
Molecular Docking ◽  
Docking Studies ◽  
Terminalia Arjuna ◽  
Lipinski’S Rule ◽  
Protein Ligand Interactions ◽  
Potential Efficacy ◽  
Ligand Interactions ◽  
Docking Approach ◽  
Cardio Vascular ◽  
Botanical Extract

The bark of the tree Terminalia arjuna commonly referred as Arjuna is widely used in Ayurveda as a therapeutic agent for heart disease. More recently, a proprietary botanical extract of T. arjuna with tradename, Oxyjun®, demonstrated cardiotonic and ergogenic benefits for the first time in a younger and healthier population. However, the mechanism of action and biological actives of this novel sports ingredient were not clear. A molecular docking approach was adopted to understand the protein-ligand interactions and establish the most probable mechanism(s) of cardio vascular actions of the phytoconstituents of the T. arjuna standardized extract (TASE). Twenty-one phytochemicals (ligands) were chosen from Arjuna and their binding affinities against eight proteins serving cardiovascular functions (target proteins) were investigated. Autodock Vina was used to carry out the molecular docking studies. Potential efficacy in humans was assessed on the basis of ADMET properties and Lipinski’s Rule of 5. We found that arjunic acid, arjungenin, arjunetin, arjunglucoside1, chrysin, kaempferol, luteolin, rhamnetin and taxifolin demonstrated good docking scores and bioactivity.

scholarly journals Docking studies in targeting proteins involved in cardiovascular disorders using phytocompounds from Terminalia arjuna

2020 ◽  
Author(s):  
Vikas Kumar ◽  
Nitin Sharma ◽  
Anuradha Sourirajan ◽  
Prem Kumar Khosla ◽  
Kamal Dev
Keyword(s):  
Molecular Docking ◽  
3D Structure ◽  
Three Dimensional ◽  
Data Bank ◽  
Docking Studies ◽  
Terminalia Arjuna ◽  
Structure Based Drug Design ◽  
Lipinski’S Rule ◽  
Protein Ligand Interactions ◽  
Ligand Interactions

AbstractTerminalia arjuna (Roxb.) Wight and Arnot (T. arjuna) commonly known as Arjuna has been known for its cardiotonic nature in heart failure, ischemic, cardiomyopathy, atherosclerosis, myocardium necrosis and also has been used in the treatment of different human disorders such as blood diseases, anaemia and viral diseases. Our focus has been on phytochemicals which do not exhibit any cytotoxicity and have significant cardioprotective activity. Since Protein-Ligand interactions play a key role in structure-based drug design, therefore with the help of molecular docking, we screened 19 phytochemicals present in T. arjuna and investigated their binding affinity against different cardiovascular target proteins. The three-dimensional (3D) structure of target cardiovascular proteins were retrieved from Protein Data Bank, and docked with 3D Pubchem structures of 19 phytochemicals using Autodock vina. Molecular docking and drug-likeness studies were made using ADMET properties while Lipinski’s rule of five was performed for the phytochemicals to evaluate their cardio protective activity. Among all selected phytocompounds, arjunic acid, arjungenin, and terminic acid were found to fulfill all ADMET rules, drug likeness, and are less toxic in nature. Our studies, therefore revealed that these three phytochemicals from T. arjuna can be used as promising candidates for developing broad spectrum drugs against cardiovascular diseases.

X-ray Crystallography and Computational Docking for the Detection and Development of Protein–Ligand Interactions

2013 ◽  
Vol 20 (4) ◽  
pp. 569-575 ◽  
Author(s):  
N.M. Kershaw ◽  
G.S.A. Wright ◽  
R. Sharma ◽  
S.V. Antonyuk ◽  
R.W. Strange ◽  
...  
Keyword(s):  
Computational Docking ◽  
X Ray ◽  
X Ray Crystallography ◽  
Protein Ligand Interactions ◽  
Ligand Interactions

scholarly journals In silico approach: docking study of oxindole derivatives against the main protease of COVID-19 and its comparison with existing therapeutic agents

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Vraj R. Shah ◽  
Jaydip D. Bhaliya ◽  
Gautam M. Patel
Keyword(s):  
Low Cost ◽  
Docking Study ◽  
The United States ◽  
Therapeutic Agents ◽  
Steric Interaction ◽  
Time Saving ◽  
Molegro Virtual Docker ◽  
Protein Ligand Interactions ◽  
Ligand Interactions ◽  
Docking Interaction

Abstract Objectives Presently, the pandemic of COVID-19 has worsened the situation worldwide and received global attention. The United States of America have the highest numbers of a patient infected by this disease followed by Brazil, Russia, India and many other countries. Moreover, lots of research is going on to find out effective vaccines or medicine, but still, no potent vaccine or drug is discovered to cure COVID-19. As a consequence, many types of research have designated that computer-based studies, such as protein–ligand interactions, structural dynamics, and chembio modeling are the finest choice due to its low cost and time-saving features. Here, oxindole derivatives have been chosen for docking because of their immense pharmacological applications like antiviral, antidiabetic, anti-inflammatory, and so on. Molecular docking of 30 oxindole derivatives done on the crystallized structure of the protein (COVID-19 Mpro). Methods The process of docking, interaction, and binding the structure of ligand with protein has executed using Molegro Virtual Docker v.7.0.0 (MVD) and visualized the usage by Molegro Molecular Viewer v.7.0.0 (MMV). Results Among the 30 derivatives, the outcomes depicted better steric interaction and hydrogen bonding amongst OD-22 ligand, OD-16 ligand, OD-4 ligand, and OD-9 ligand (oxindole derivatives) with COVID-19. In addition to this, the comparative study of these four compounds with existing drugs that are under clinical trials shows comparatively good results in terms of its MolDock scores, H-bonding and steric interactions. Conclusions Hence, It is proposed that these four oxindole derivatives have good potential as a new drug against coronavirus as possible therapeutic agents.

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