scholarly journals Reverse Docking, Molecular Docking, Absorption, Distribution, and Toxicity Prediction of Artemisinin as an Anti-diabetic Candidate

Molekul ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 88
Author(s):  
Ruswanto Ruswanto ◽  
Richa Mardianingrum ◽  
Siswandono Siswandono ◽  
Dini Kesuma
Keyword(s):  
Molecular Docking ◽  
Aldose Reductase ◽  
Glucose Concentration ◽  
In Silico ◽  
Reductase Activity ◽  
Polyol Pathway ◽  
Toxicity Prediction ◽  
In Silico Studies

Aldose reductase is an enzyme that catalyzes one of the steps in the sorbitol (polyol) pathway that is responsible for fructose formation from glucose. In diabetes, aldose reductase activity increases as the glucose concentration increases. The purpose of this research was to identify and develop the use of artemisinin as an anti-diabetic candidate through in silico studies, including reverse docking, receptor analysis, molecular docking, drug scan, absorption, and distributions and toxicity prediction of artemisinin. Based on the results, we conclude that artemisinin can be used as an anti-diabetic candidate through inhibition of aldose reductase

Promising Anti-stroke Signature of Voglibose: Investigation through In- Silico Molecular Docking and Virtual Screening in In-Vivo Animal Studies

2020 ◽  
Vol 20 (3) ◽  
pp. 223-235
Author(s):  
Pooja Shah ◽  
Vishal Chavda ◽  
Snehal Patel ◽  
Shraddha Bhadada ◽  
Ghulam Md. Ashraf
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
In Silico ◽  
Reductase Activity ◽  
Infarct Volume ◽  
Docking Studies ◽  
Serum Glucose ◽  
In Vivo Studies ◽  
In Silico Molecular Docking

Background: Postprandial hyperglycemia considered to be a major risk factor for cerebrovascular complications. Objective: The current study was designed to elucidate the beneficial role of voglibose via in-silico in vitro to in-vivo studies in improving the postprandial glycaemic state by protection against strokeprone type 2 diabetes. Material and Methods: In-Silico molecular docking and virtual screening were carried out with the help of iGEMDOCK+ Pymol+docking software and Protein Drug Bank database (PDB). Based on the results of docking studies, in-vivo investigation was carried out for possible neuroprotective action. T2DM was induced by a single injection of streptozotocin (90mg/kg, i.v.) to neonates. Six weeks after induction, voglibose was administered at the dose of 10mg/kg p.o. for two weeks. After eight weeks, diabetic rats were subjected to middle cerebral artery occlusion, and after 72 hours of surgery, neurological deficits were determined. The blood was collected for the determination of serum glucose, CK-MB, LDH and lipid levels. Brains were excised for determination of brain infarct volume, brain hemisphere weight difference, Na+-K+ ATPase activity, ROS parameters, NO levels, and aldose reductase activity. Results: In-silico docking studies showed good docking binding score for stroke associated proteins, which possibly hypotheses neuroprotective action of voglibose in stroke. In the present in-vivo study, pre-treatment with voglibose showed a significant decrease (p<0.05) in serum glucose and lipid levels. Voglibose has shown significant (p<0.05) reduction in neurological score, brain infarct volume, the difference in brain hemisphere weight. On biochemical evaluation, treatment with voglibose produced significant (p<0.05) decrease in CK-MB, LDH, and NO levels in blood and reduction in Na+-K+ ATPase, oxidative stress, and aldose reductase activity in brain homogenate. Conclusion: In-silico molecular docking and virtual screening studies and in-vivo studies in MCAo induced stroke, animal model outcomes support the strong anti-stroke signature for possible neuroprotective therapeutics.

The Molecular Docking of Flavonoids Isolated from Daucus carota as a Dual Inhibitor of MDM2 and MDMX

2020 ◽  
Vol 15 (2) ◽  
pp. 154-164 ◽  
Author(s):  
Ijaz Muhammad ◽  
Noor Rahman ◽  
Gul E. Nayab ◽  
Sadaf Niaz ◽  
Mohibullah Shah ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Cancer Therapy ◽  
Natural Product ◽  
Signaling Pathway ◽  
In Silico ◽  
P53 Protein ◽  
Dual Inhibitor ◽  
P53 Signaling ◽  
In Silico Studies ◽  
P53 Signaling Pathway

Background: Cancer is characterized by overexpression of p53 associated proteins, which down-regulate P53 signaling pathway. In cancer therapy, p53 activity can be restored by inhibiting the interaction of MDMX (2N0W) and MDM2 (4JGR) proteins with P53 protein. Objective: In the current, study in silico approaches were adapted to use a natural product as a source of cancer therapy. Methods: In the current study in silico approaches were adapted to use a natural product as a source of cancer therapy. For in silico studies, Chemdraw and Molecular Operating Environment were used for structure drawing and molecular docking, respectively. Flavonoids isolated from D. carota were docked with cancerous proteins. Result: Based on the docking score analysis, we found that compound 7 was the potent inhibitor of both cancerous proteins and can be used as a potent molecule for inhibition of 2N0W and 4JGR interaction with p53. Conclusion: Thus the compound 7 can be used for the revival of p53 signaling pathway function however, intensive in vitro and in vivo experiments are required to prove the in silico analysis.

Enzymatic Textile Dyes Decolorization by In vitro and In silico Studies

2019 ◽  
Vol 13 (4) ◽  
pp. 268-276
Author(s):  
Sridevi Ayla ◽  
Monika Kallubai ◽  
Suvarnalatha Devi Pallipati ◽  
Golla Narasimha
Keyword(s):  
Molecular Docking ◽  
In Silico ◽  
Docking Studies ◽  
Textile Dyes ◽  
Crude Enzyme ◽  
Eastern Ghats ◽  
Textile Dye ◽  
Phanerochaete Sordida ◽  
Molecular Docking Studies ◽  
In Silico Studies

Background:Laccase, a multicopper oxidoreductase (EC: 1.10.3.2), is a widely used enzyme in bioremediation of textile dye effluents. Fungal Laccase is preferably used as a remediating agent in the treatment and transformation of toxic organic pollutants. In this study, crude laccase from a basidiomycetes fungus, Phanerochaete sordida, was able to decolorize azo, antroquinone and indigoid dyes. In addition, interactions between dyes and enzyme were analysed using molecular docking studies.Methods:In this work, a white rot basidiomycete’s fungus, Phanerochaete sordida, was selected from forest soil isolates of Eastern Ghats, and Tirumala and lignolytic enzymes production was assayed after 7 days of incubation. The crude enzyme was checked for decolourisation of various synthetic textile dyes (Vat Brown, Acid Blue, Indigo, Reactive Blue and Reactive Black). Molecular docking studies were done using Autodock-4.2 to understand the interactions between dyes and enzymes.Results:Highest decolourisation efficiency was achieved with the crude enzyme in case of vat brown whereas the lowest decolourisation efficiency was achieved in Reactive blue decolourisation. Similar results were observed in their binding affinity with lignin peroxidase of Phanerochaete chrysosporium through molecular docking approach.Conclusion:Thus, experimental results and subsequent in silico validation involving an advanced remediation approach would be useful to reduce time and cost in other similar experiments.

scholarly journals IN SILICO STUDIES ON FUNCTIONALIZED AZAGLYCINE DERIVATIVES CONTAINING 2, 4-THIAZOLIDINEDIONE SCAFFOLD ON MULTIPLE TARGETS

2017 ◽  
Vol 9 (8) ◽  
pp. 209 ◽  
Author(s):  
Arifa Begum ◽  
Shaheen Begum ◽  
Prasad Kvsrg ◽  
Bharathi K.
Keyword(s):  
Molecular Docking ◽  
Oral Bioavailability ◽  
In Silico ◽  
Viral Infections ◽  
Target Prediction ◽  
Docking Studies ◽  
Antidiabetic Activity ◽  
Molecular Docking Studies ◽  
In Silico Studies ◽  
Glycine Derivative

Objective: The 2, 4-thiazolidinedione containing compounds could lead to most promising scaffolds with higher efficiency toward the targets recognized for its antidiabetic activity when combined with azaglycine moiety. The objective of the present work was to merge functionalized aza glycines with 2, 4-thiazolidinediones, perform in silico evaluation by molecular properties prediction and undertake the molecular docking studies with targets relevant to diabetes, bacterial and viral infections using Swiss Dock programme for unraveling the target identification which can be used for further designing.Methods: (i) In silico studies were performed using Molinspiration online tool, Swiss ADME website and Swiss Target Prediction websites to compute the physicochemical descriptors, oral bioavailability and brain penetration. (ii) Molecular docking studies were performed using Swiss Dock web service for enumeration of binding affinities and assess their biological potentiality.Results: The results predicted good drug likeness, solubility, permeability and oral bioavailability for the compounds. All the compounds showed good docking scores as compared to the reference drugs. The N-oleoyl functionalized aza glycine derivative demonstrated superior binding properties towards all the studied target reference proteins, suggesting its significance in pharmacological actions.Conclusion: The binding interactions observed in the molecular docking studies suggest good binding affinity of the oleoyl functionalized aza glycine derivative, indicating that this derivative would be a promising lead for further investigations of anti-viral, anti-inflammatory and anti-diabetic activities.

scholarly journals Computer-Based Approaches for Determining the Pharmacological Profile of 5-(3-Nitro-Arylidene)-Thiazolidine-2,4-Dione

2021 ◽  
Vol 11 (6) ◽  
pp. 13806-13828
Keyword(s):  
Molecular Docking ◽  
In Silico ◽  
Density Functional ◽  
Biological Activities ◽  
Computational Approach ◽  
Basis Set ◽  
Pharmacological Profile ◽  
Dft Methods ◽  
Starting Point ◽  
In Silico Studies

The development of novel and safe compounds is a challenging task in the drug discovery trajectory. Accordingly, the individuation of promising core molecules with biological activities could pave the way to develop effective drugs to treat a given disease. The use of a computational approach can reduce the time for identifying promising core molecules characterizing their potential pharmacological profile and providing hints for the synthesis of novel derivatives with increased predicted pharmacological activity. Following this strategy, starting from a core molecule thiazolidine-2,4-dione, the derivative of 5-(3-nitro-arylidene)-thiazolidine-2,4-dione was synthesized to investigate the biological and pharmacological potential. An extensive computational investigation was performed employing ab initio calculations by using Density Functional Theory (DFT), and subsequent in silico studies were accomplished by molecular docking calculation. The structures 5-(3-nitro-arylidene)-thiazolidine-2,4-dione were fully optimized using multiparametric DFT methods were calculated at the B3LYP/6-31+G (d, p) level basis set. Besides gaining insights into the potential pharmacological profile of the selected derivative, molecular docking against some selected drug targets, ADME, and PASS prediction were performed. According to charges and molecular electrostatic potential (MESP) calculation, the N-H region could offer promising active site interactions for protein binding. Furthermore, Homo-Lumo and global reactivity values indicate a good profile for the selected compound, and UV-Vis provides further insights about its properties, potentially helpful for further experimental analysis. Notably, the in silico investigation indicated that EGFR and ORF2 enzymes could represent the selected drug-like compound's possible targets. Conclusively, the proposed computational approach demonstrated that it is possible to evaluate a proposed compound's bioactivity profile. We characterized 5-(3-nitro-arylidene)-thiazolidine-2,4-dione derivative, suggesting it as a good starting point for developing interesting hit compounds with a relevant pharmacological profile.

scholarly journals Molecular Docking Evaluation of Some Natural Phenolic Compounds as Aldose Reductase Inhibitors for Diabetic Complications

2017 ◽  
Vol 5 (2) ◽  
pp. 135-148 ◽  
Author(s):  
Ajmer Singh Grewal ◽  
Neelam Sharma ◽  
Sukhbir Singh ◽  
Sandeep Arora
Keyword(s):  
Molecular Docking ◽  
Aldose Reductase ◽  
Diabetic Complications ◽  
Binding Free Energy ◽  
Docking Study ◽  
Polyol Pathway ◽  
Binding Modes ◽  
Active Site Residues ◽  
Molecular Docking Study ◽  
Natural Phenols

The enzyme aldose reductase (AR) is a member of aldoketoreductase super-family which catalyzes the formation of sorbitol from glucose through polyol pathway of glucose catabolism. Reduced sorbitol production via polyol pathway due to AR inhibition is a target of choice for controlling major complications of diabetes. Epalrestat is the only commercially available inhibitor of AR till date,thus, there is a great need to search for more economical, nontoxic and safer inhibitors of AR enzyme. Flavonoids,the polyphenol compounds in plants have been reported for inhibitory effects against AR. The objective of this study is to explore the binding modes of naturalphenolic compounds with AR to design safer natural drugs as alternatives to synthetic drugs. We conducted a molecular docking study on some naturalphenolic compounds with AR enzyme in complex with the synthetic inhibitor. The overlay of the docked pose of the selected natural phenols with the ARreference inhibitor complex showed that the selected natural compounds have the similar binding pattern with the active site residues of the enzyme as that of co-crystallized inhibitor. The results of docking study showed the best binding affinity of AR with that of 2-(4-hydroxy-3-methoxyphenyl) ethanoic acid and butein, having the lowest binding free energy of –9.8 kcal/mol and–9.7 kcal/mol, respectively. This information can be utilized to design potent, economical and non-toxic natural AR inhibitors from natural phenols for the therapeutics of diabetic complications.

scholarly journals In Silico Studies of Tumor Targeted Peptide-Conjugated Natural Products for Targeting Over-Expressed Receptors in Breast Cancer Cells Using Molecular Docking, Molecular Dynamics and MMGBSA Calculations

2022 ◽  
Vol 12 (1) ◽  
pp. 515
Author(s):  
Lucy R. Hart ◽  
Charlotta G. Lebedenko ◽  
Saige M. Mitchell ◽  
Rachel E. Daso ◽  
Ipsita A. Banerjee
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
In Silico ◽  
Point Mutations ◽  
Binding Energies ◽  
Peptide Sequence ◽  
Peroxisome Proliferator ◽  
Peptide Conjugates ◽  
Biological Studies ◽  
In Silico Studies

In this work, in silico studies were carried out for the design of diterpene and polyphenol-peptide conjugates to potentially target over-expressed breast tumor cell receptors. Four point mutations were induced into the known tumor-targeting peptide sequence YHWYGYTPQN at positions 1, 2, 8 and 10, resulting in four mutated peptides. Each peptide was separately conjugated with either chlorogenate, carnosate, gallate, or rosmarinate given their known anti-tumor activities, creating dual targeting compounds. Molecular docking studies were conducted with the epidermal growth factor receptor (EGFR), to which the original peptide sequence is known to bind, as well as the estrogen receptor (ERα) and peroxisome proliferator-activated receptor (PPARα) using both Autodock Vina and FireDock. Based on docking results, peptide conjugates and peptides were selected and subjected to molecular dynamics simulations. MMGBSA calculations were used to further probe the binding energies. ADME studies revealed that the compounds were not CYP substrates, though most were Pgp substrates. Additionally, most of the peptides and conjugates showed MDCK permeability. Our results indicated that several of the peptide conjugates enhanced binding interactions with the receptors and resulted in stable receptor-ligand complexes; Furthermore, they may successfully target ERα and PPARα in addition to EGFR and may be further explored for synthesis and biological studies for therapeutic applications.

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