In silico and in vivo studies of the effect of surface curvature on the osteoconduction of porous scaffolds

2021 ◽  
Author(s):  
Yun Zhang ◽  
Peng Wang ◽  
Jiyong Jin ◽  
Lan Li ◽  
Si‐yuan He ◽  
...  
Keyword(s):  
In Silico ◽  
Surface Curvature ◽  
In Vivo Studies ◽  
Porous Scaffolds ◽  
Effect Of Surface

Recent In Vitro and In Silico Advances in the Understanding of Intranasal Drug Delivery

2020 ◽  
Vol 26 ◽  
Author(s):  
John Chen ◽  
Andrew Martin ◽  
Warren H. Finlay
Keyword(s):  
Drug Delivery ◽  
In Silico ◽  
Local Drug Delivery ◽  
In Vivo Studies ◽  
Intranasal Drug Delivery ◽  
Nasal Sprays ◽  
In Silico Studies ◽  
Drug Delivery Devices

Background: Many drugs are delivered intranasally for local or systemic effect, typically in the form of droplets or aerosols. Because of the high cost of in vivo studies, drug developers and researchers often turn to in vitro or in silico testing when first evaluating the behavior and properties of intranasal drug delivery devices and formulations. Recent advances in manufacturing and computer technologies have allowed for increasingly realistic and sophisticated in vitro and in silico reconstructions of the human nasal airways. Objective: To perform a summary of advances in understanding of intranasal drug delivery based on recent in vitro and in silico studies. Conclusion: The turbinates are a common target for local drug delivery applications, and while nasal sprays are able to reach this region, there is currently no broad consensus across the in vitro and in silico literature concerning optimal parameters for device design, formulation properties and patient technique which would maximize turbinate deposition. Nebulizers are able to more easily target the turbinates, but come with the disadvantage of significant lung deposition. Targeting of the olfactory region of the nasal cavity has been explored for potential treatment of central nervous system conditions. Conventional intranasal devices, such as nasal sprays and nebulizers, deliver very little dose to the olfactory region. Recent progress in our understanding of intranasal delivery will be useful in the development of the next generation of intranasal drug delivery devices.

In-silico Studies of Isolated Phytoalkaloid Against Lipoxygenase: Study Based on Possible Correlation

2018 ◽  
Vol 21 (3) ◽  
pp. 215-221
Author(s):  
Haroon Khan ◽  
Muhammad Zafar ◽  
Helena Den-Haan ◽  
Horacio Perez-Sanchez ◽  
Mohammad Amjad Kamal
Keyword(s):  
In Silico ◽  
Docking Studies ◽  
In Vivo Studies ◽  
In Vitro Assays ◽  
Chronic Obstructive ◽  
Lipoxygenase Inhibitors ◽  
Lipoxygenase Inhibition ◽  
In Silico Studies

Aim and Objective: Lipoxygenase (LOX) enzymes play an important role in the pathophysiology of several inflammatory and allergic diseases including bronchial asthma, allergic rhinitis, atopic dermatitis, allergic conjunctivitis, rheumatoid arthritis and chronic obstructive pulmonary disease. Inhibitors of the LOX are believed to be an ideal approach in the treatment of diseases caused by its over-expression. In this regard, several synthetic and natural agents are under investigation worldwide. Alkaloids are the most thoroughly investigated class of natural compounds with outstanding past in clinically useful drugs. In this article, we have discussed various alkaloids of plant origin that have already shown lipoxygenase inhibition in-vitro with possible correlation in in silico studies. Materials and Methods: Molecular docking studies were performed using MOE (Molecular Operating Environment) software. Among the ten reported LOX alkaloids inhibitors, derived from plant, compounds 4, 2, 3 and 1 showed excellent docking scores and receptor sensitivity. Result and Conclusion: These compounds already exhibited in vitro lipoxygenase inhibition and the MOE results strongly correlated with the experimental results. On the basis of these in vitro assays and computer aided results, we suggest that these compounds need further detail in vivo studies and clinical trial for the discovery of new more effective and safe lipoxygenase inhibitors. In conclusion, these results might be useful in the design of new and potential lipoxygenase (LOX) inhibitors.

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.

scholarly journals Predicting Absorption-Distribution Properties of Neuroprotective Phosphine-Borane Compounds Using In Silico Modeling and Machine Learning

Molecules ◽  
2021 ◽  
Vol 26 (9) ◽  
pp. 2505
Author(s):  
Raheem Remtulla ◽  
Sanjoy Kumar Das ◽  
Leonard A. Levin
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
In Silico ◽  
Disulfide Bonds ◽  
Oral Absorption ◽  
In Vivo Studies ◽  
Drug Candidates ◽  
In Silico Methods

Phosphine-borane complexes are novel chemical entities with preclinical efficacy in neuronal and ophthalmic disease models. In vitro and in vivo studies showed that the metabolites of these compounds are capable of cleaving disulfide bonds implicated in the downstream effects of axonal injury. A difficulty in using standard in silico methods for studying these drugs is that most computational tools are not designed for borane-containing compounds. Using in silico and machine learning methodologies, the absorption-distribution properties of these unique compounds were assessed. Features examined with in silico methods included cellular permeability, octanol-water partition coefficient, blood-brain barrier permeability, oral absorption and serum protein binding. The resultant neural networks demonstrated an appropriate level of accuracy and were comparable to existing in silico methodologies. Specifically, they were able to reliably predict pharmacokinetic features of known boron-containing compounds. These methods predicted that phosphine-borane compounds and their metabolites meet the necessary pharmacokinetic features for orally active drug candidates. This study showed that the combination of standard in silico predictive and machine learning models with neural networks is effective in predicting pharmacokinetic features of novel boron-containing compounds as neuroprotective drugs.

In silico identification of viper phospholipaseA2 inhibitors: validation by in vitro, in vivo studies

2011 ◽  
Vol 17 (12) ◽  
pp. 3063-3073 ◽  
Author(s):  
Amit Nargotra ◽  
Sujata Sharma ◽  
Mohd Iqbal Alam ◽  
Zabeer Ahmed ◽  
Asha Bhagat ◽  
...  
Keyword(s):  
In Silico ◽  
In Vivo Studies ◽  
In Silico Identification

scholarly journals In Silico Screening of Potential Drug with Antileishmanial Activty and Validation of their Activity by in Vitro and in Vivo Studies

2015 ◽  
Vol 9 (6) ◽  
Author(s):  
Carol V. Mesa ◽  
Gustavo A. Blandón ◽  
Diana L. Muñoz ◽  
Carlos E. Muskus ◽  
Andrés F. Flórez ◽  
...  
Keyword(s):  
In Silico ◽  
In Vivo Studies ◽  
Potential Drug ◽  
In Silico Screening

scholarly journals Anti-Inflammatory Potential of Daturaolone from Datura innoxia Mill.: In Silico, In Vitro and In Vivo Studies

2021 ◽  
Vol 14 (12) ◽  
pp. 1248
Author(s):  
Muhammad Waleed Baig ◽  
Humaira Fatima ◽  
Nosheen Akhtar ◽  
Hidayat Hussain ◽  
Mohammad K. Okla ◽  
...  
Keyword(s):  
In Silico ◽  
Therapeutic Potential ◽  
In Vivo Studies ◽  
Metabolic Reaction ◽  
Datura Innoxia ◽  
In Vivo Models ◽  
Immobility Time ◽  
Anti Inflammatory

Exploration of leads with therapeutic potential in inflammatory disorders is worth pursuing. In line with this, the isolated natural compound daturaolone from Datura innoxia Mill. was evaluated for its anti-inflammatory potential using in silico, in vitro and in vivo models. Daturaolone follows Lipinski’s drug-likeliness rule with a score of 0.33. Absorption, distribution, metabolism, excretion and toxicity prediction show strong plasma protein binding; gastrointestinal absorption (Caco-2 cells permeability = 34.6 nm/s); no blood–brain barrier penetration; CYP1A2, CYP2C19 and CYP3A4 metabolism; a major metabolic reaction, being aliphatic hydroxylation; no hERG inhibition; and non-carcinogenicity. Predicted molecular targets were mainly inflammatory mediators. Molecular docking depicted H-bonding interaction with nuclear factor kappa beta subunit (NF-κB), cyclooxygenase-2, 5-lipoxygenase, phospholipase A2, serotonin transporter, dopamine receptor D1 and 5-hydroxy tryptamine. Its cytotoxicity (IC50) value in normal lymphocytes was >20 µg/mL as compared to cancer cells (Huh7.5; 17.32 ± 1.43 µg/mL). Daturaolone significantly inhibited NF-κB and nitric oxide production with IC50 values of 1.2 ± 0.8 and 4.51 ± 0.92 µg/mL, respectively. It significantly reduced inflammatory paw edema (81.73 ± 3.16%), heat-induced pain (89.47 ± 9.01% antinociception) and stress-induced depression (68 ± 9.22 s immobility time in tail suspension test). This work suggests a possible anti-inflammatory role of daturaolone; however, detailed mechanistic studies are still necessary to corroborate and extrapolate the findings.

scholarly journals Identification of Structurally Similar Phytochemicals to Quercetin with High SIRT1 Binding Affinity and Improving Diabetic Wound Healing by Using In silico Approaches

2021 ◽  
Vol 12 (6) ◽  
pp. 7621-7632
Keyword(s):  
Wound Healing ◽  
In Silico ◽  
Binding Free Energy ◽  
Biological Properties ◽  
In Vivo Studies ◽  
Diabetic Wound ◽  
Binding Modes ◽  
Diabetic Wound Healing

Diabetes Mellitus is the most prevalent metabolic disorder that is increasing at an alarming rate worldwide. The unregulated glucose level leads to various types of health disorders, and one of the major diabetic complications is delayed wound healing. Due to the more side effects of synthetic drugs, there is a need to explore plants and their phytochemicals for medicinal purposes. It was found that Quercetin, a flavonoid, increases the rate of diabetic wound healing by enhancing the expression of SIRT1. This demands more insight towards Quercetin and its similar compounds, as it is hypothesized that similar compounds may have similar biological properties. Thus similarity searching was done to identify the most similar compounds of Quercetin, and then the molecular docking of the screened compounds was performed using AutoDock Vina. The unique ligands were docked into the active site of SIRT1 protein (PDB ID: 4ZZJ). The binding free energy of the interacting ligand with the protein was estimated. Six compounds were identified which possess the maximum structural similarity with Quercetin, and upon docking, it was found that gossypetin and herbacetin have similar binding modes and binding energy as that of Quercetin (-7.5 kcal/mol). Therefore, the hypothesis has been validated by in silico analysis. Our study identified two phytochemicals, Gossypetin, and Herbacetin which can prove beneficial for improving diabetic wound healing but needs to be validated further by in vitro and in vivo studies.

scholarly journals Which cytochrome P450 metabolizes phenazepam? Step by step in silico, in vitro, and in vivo studies

2018 ◽  
Vol 33 (2) ◽  
pp. 65-73 ◽  
Author(s):  
Dmitriy V. Ivashchenko ◽  
Anastasia V. Rudik ◽  
Andrey A. Poloznikov ◽  
Sergey V. Nikulin ◽  
Valeriy V. Smirnov ◽  
...  
Keyword(s):  
Cell Culture ◽  
Cytochrome P450 ◽  
In Silico ◽  
In Vivo Studies ◽  
Cyp3a Activity ◽  
Cell Culture Study ◽  
Study Results ◽  
Three Stages

Abstract Background: Phenazepam (bromdihydrochlorphenylbenzodiazepine) is the original Russian benzodiazepine tranquilizer belonging to 1,4-benzodiazepines. There is still limited knowledge about phenazepam’s metabolic liver pathways and other pharmacokinetic features. Methods: To determine phenazepam’s metabolic pathways, the study was divided into three stages: in silico modeling, in vitro experiment (cell culture study), and in vivo confirmation. In silico modeling was performed on the specialized software PASS and GUSAR to evaluate phenazepam molecule affinity to different cytochromes. The in vitro study was performed using a hepatocytes’ cell culture, cultivated in a microbioreactor to produce cytochrome P450 isoenzymes. The culture medium contained specific cytochrome P450 isoforms inhibitors and substrates (for CYP2C9, CYP3A4, CYP2C19, and CYP2B6) to determine the cytochrome that was responsible for phenazepam’s metabolism. We also measured CYP3A activity using the 6-betahydroxycortisol/cortisol ratio in patients. Results: According to in silico and in vitro analysis results, the most probable metabolizer of phenazepam is CYP3A4. By the in vivo study results, CYP3A activity decreased sufficiently (from 3.8 [95% CI: 2.94–4.65] to 2.79 [95% CI: 2.02–3.55], p=0.017) between the start and finish of treatment in patients who were prescribed just phenazepam. Conclusions: Experimental in silico and in vivo studies confirmed that the original Russian benzodiazepine phenazepam was the substrate of CYP3A4 isoenzyme.

In silico studies of bacterial derived fatty acid as a potential inhibitor of 1FGE and 1BQO

2021 ◽  
Vol 16 (12) ◽  
pp. 119-124
Author(s):  
S. Syed Chandini ◽  
Sairam Mantri
Keyword(s):  
Ligand Binding ◽  
Stearic Acid ◽  
In Silico ◽  
In Vivo Studies ◽  
Binding Interaction ◽  
Standard Drug ◽  
Synthetic Drugs ◽  
Potential Inhibitor ◽  
In Silico Studies

Thrombomodulin (TM) and matrix metalloproteinase (MMPs) are the major factors that are responsible for lung cancer. Hence, the identification of novel compounds inhibiting TM and MMPs is the challenging task for the scientists. Even though synthetic drugs were developed, their toxicity and offtarget limit their usage. The current study aims to investigate the molecular simulations for bacterial derived stearic acid to estimate the in silico anticancer activity against TM and MMPs protein as target compounds and the findings were correlated with the standard drug vorinostat. Using Lamarckian genetic algorithm, the TM and MMPs were energy minimized and docked with stearic acid and vorinostat using auto dock 4.2 and visualized in PyMol software. Protein and ligand binding analysis revealed that stearic acid interacts with the amino acids of MMPs residues of PHE83, SER212, ALA213 and ASN214. It interacts with the TMs with two amino acid residues i.e. CYS407 and GLU408. Hence, compared to vorinostat, stearic acid shows a higher binding affinity towards MMPs and slightly lower affinity towards TM proteinase. We conclude that the computational analysis of ligand binding interaction of stearic acid suggests that it could be a potential inhibitor of matrix metallo proteinase and is effective against thrombomodulin and can be considered as an anticancer agent by in vivo studies.

Sign in / Sign up

Export Citation Format

Share Document