scholarly journals Enhanced oral absorption of 20(S)-protopanaxadiol by self-assembled liquid crystalline nanoparticles containing piperine: in vitro and in vivo studies

2013 ◽  
pp. 641 ◽  
Author(s):  
Xiao-bin Jia ◽  
Jin ◽  
Zhen-hai Zhang ◽  
Tan ◽  
Li ◽  
...  
Keyword(s):  
Liquid Crystalline ◽  
Oral Absorption ◽  
In Vivo Studies ◽  
Liquid Crystalline Nanoparticles ◽  
Self Assembled

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.

Self-assembled drug delivery systems. Part 6: In vitro/in vivo studies of anticancer N-octadecanoyl gemcitabine nanoassemblies

2012 ◽  
Vol 430 (1-2) ◽  
pp. 276-281 ◽  
Author(s):  
Yiguang Jin ◽  
Yanju Lian ◽  
Lina Du ◽  
Shuangmiao Wang ◽  
Chang Su ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Drug Delivery Systems ◽  
Delivery Systems ◽  
In Vivo Studies ◽  
Self Assembled

Liquid Crystalline Systems Based on Glyceryl Monooleate and Penetration Enhancers for Skin Delivery of Celecoxib: Characterization, In Vitro Drug Release, and In Vivo Studies

2018 ◽  
Vol 107 (3) ◽  
pp. 870-878 ◽  
Author(s):  
Mariane de Cássia Lima Dante ◽  
Livia Neves Borgheti-Cardoso ◽  
Marcia Carvalho de Abreu Fantini ◽  
Fabíola Silva Garcia Praça ◽  
Wanessa Silva Garcia Medina ◽  
...  
Keyword(s):  
Drug Release ◽  
Liquid Crystalline ◽  
Penetration Enhancers ◽  
In Vivo Studies ◽  
In Vitro Drug Release ◽  
Glyceryl Monooleate ◽  
Skin Delivery

scholarly journals Crystal products of lamotrigine-citric acid for improvement of in vitro drug release in simulated gastric fluid

2020 ◽  
pp. 49-49
Author(s):  
Bhabani Satapathy ◽  
Asuprita Patel ◽  
Rudra Sahoo ◽  
Subrata Mallick
Keyword(s):  
Citric Acid ◽  
Drug Release ◽  
Crystal Engineering ◽  
Oral Absorption ◽  
Gastric Fluid ◽  
In Vivo Studies ◽  
Simulated Gastric Fluid ◽  
Drug Development Research

Crystal engineering is an integral part of the drug development research. Crystal forms can modify the physicochemical properties of the parent drug molecule. The present work was aimed at the synthesis and characterization of crystalline product of lamotrigine (LT), a FDA approved anti-epileptic drug, with citric acid (CA) to improve its release in gastric region and oral absorption. The crystalline products of LT-CA were developed by solvent evaporation method using ethanol-water as the solvent system. Appearance of new charac-teristic peaks in the FTIR spectra for the crystal products indicated formation of new crystal state. In DSC thermogram, melting point of the experimental crystal products was different than that of the pure drug. Further, formation of new crystalline phase was confirmed from XRD data through the identification of new sharp peaks for the selected crystal products. A higher cumulative percen-tage of drug release was observed for the crystal products than the free drug within 60 min of drug release in simulated gastric fluid. However, in vivo studies are warranted for the future technology transfer of the product at industrial scale.

Coumarins and Quinolones as Effective Multiple Targeted Agents Versus Covid-19: An in Silico Study

2021 ◽  
Vol 17 ◽  
Author(s):  
Mojgan Nejabat ◽  
Razieh Ghodsi ◽  
Farzin Hadizadeh
Keyword(s):  
Binding Affinity ◽  
In Silico ◽  
Oral Absorption ◽  
Antiviral Agent ◽  
In Vivo Studies ◽  
Reference Drug ◽  
Viral Proteases ◽  
In Silico Study

Background: The Covid-19 virus emerged a few months ago in China and infections rapidly escalated into a pandemic. Objective: To date, there is no selective antiviral agent for the management of pathologies associated with covid-19 and the need for an effective agent against it is essential. Method: In this work two home-made databases from synthetic quinolines and coumarins were virtually docked against viral proteases (3CL and PL), human cell surface proteases (TMPRSS2 and furin) and spike proteins (S1 and S2). Chloroquine, a reference drug without a clear mechanism against coronavirus was also docked on mentioned targets and the binding affinities compared with title compounds. Result: The best compounds of synthetic coumarins and quinolines for each target were determined. All compounds against all targets showed binding affinity between -5.80 to -8.99 kcal/mol in comparison with the FDA-approved drug, Chloroquine, with binding affinity of -5.7 to -7.98 kcal/mol. Two compounds, quinoline-1 and coumarin-24, were found to be effective on three targets – S2, TMPRSS2 and furin – simultaneously, with good predicted affinity between -7.54 to -8.85 kcal/mol. In silico ADME studies also confirmed good oral absorption for them. Furthermore, PASS prediction was calculated and coumarin-24 had higher probable activity (Pa) than probable inactivity (Pi) with acceptable protease inhibitory as well as good antiviral activity against Hepatitis C virus (HCV), Human immunodeficiency virus (HIV) and influenza. Conclusion: Quinoline-1 and Coumarin-24 have the potential to be used against Covid-19. Hence these agents could be useful in combating covid-19 infection after further in vitro and in vivo studies.

scholarly journals Ophthalmic Delivery of Brinzolamide by Liquid Crystalline Nanoparticles: In Vitro and In Vivo Evaluation

2013 ◽  
Vol 14 (3) ◽  
pp. 1063-1071 ◽  
Author(s):  
Weijun Wu ◽  
Jing Li ◽  
Lin Wu ◽  
Baoyan Wang ◽  
Zhongyuan Wang ◽  
...  
Keyword(s):  
Liquid Crystalline ◽  
In Vivo Evaluation ◽  
Ophthalmic Delivery ◽  
Liquid Crystalline Nanoparticles

Oral insulin delivery by self-assembled chitosan nanoparticles: In vitro and in vivo studies in diabetic animal model

2013 ◽  
Vol 33 (1) ◽  
pp. 376-382 ◽  
Author(s):  
Piyasi Mukhopadhyay ◽  
Kishor Sarkar ◽  
Mousumi Chakraborty ◽  
Sourav Bhattacharya ◽  
Roshnara Mishra ◽  
...  
Keyword(s):  
Animal Model ◽  
Chitosan Nanoparticles ◽  
Insulin Delivery ◽  
Diabetic Animal ◽  
In Vivo Studies ◽  
Oral Insulin ◽  
Self Assembled
Sign in / Sign up

Export Citation Format

Share Document