Literature DB >> 30880356

Monte Carlo simulations in drug release.

Kosmas Kosmidis1, George Dassios2.   

Abstract

We present methods based on simple sampling Monte Carlo simulations that are used in the study of controlled drug release from devices of various shapes and characteristics. The manuscript is part of a special tribute issue for Prof. Panos Macheras and we have chosen applications of the Monte Carlo method in the field of drug release that were pioneered by him and his research group. Thus, we focus on the investigation of diffusion based release and we present methods that go beyond the application of the classical fickian diffusion equation. We describe methods that have proven to be effective in illuminating the profound effects of the substrate heterogeneity on the drug release profiles and demonstrate some of the most powerful applications of agent based simulations and numerical methods in the field of pharmacokinetics.

Keywords:  Drug release; Monte Carlo simulations; Numerical methods

Mesh:

Substances:

Year:  2019        PMID: 30880356     DOI: 10.1007/s10928-019-09625-8

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  18 in total

1.  A reappraisal of drug release laws using Monte Carlo simulations: the prevalence of the Weibull function.

Authors:  Kosmas Kosmidis; Panos Argyrakis; Panos Macheras
Journal:  Pharm Res       Date:  2003-07       Impact factor: 4.200

2.  Michaelis-Menten kinetics under spatially constrained conditions: application to mibefradil pharmacokinetics.

Authors:  Kosmas Kosmidis; Vangelis Karalis; Panos Argyrakis; Panos Macheras
Journal:  Biophys J       Date:  2004-09       Impact factor: 4.033

3.  Fractal pharmacokinetics.

Authors:  Luis M Pereira
Journal:  Comput Math Methods Med       Date:  2010-06       Impact factor: 2.238

4.  On the use of the Weibull function for the discernment of drug release mechanisms.

Authors:  Vasiliki Papadopoulou; Kosmas Kosmidis; Marilena Vlachou; Panos Macheras
Journal:  Int J Pharm       Date:  2005-12-20       Impact factor: 5.875

5.  Fractal pharmacokinetics of the drug mibefradil in the liver.

Authors:  J Fuite; R Marsh; J Tuszyński
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-08-13

6.  Monte Carlo simulations of drug release from matrices with periodic layers of high and low diffusivity.

Authors:  Kosmas Kosmidis; Panos Macheras
Journal:  Int J Pharm       Date:  2007-11-04       Impact factor: 5.875

7.  Monte Carlo simulations for the study of drug release from matrices with high and low diffusivity areas.

Authors:  Kosmas Kosmidis; Panos Macheras
Journal:  Int J Pharm       Date:  2007-05-18       Impact factor: 5.875

8.  Development of fractal kinetic theory for enzyme-catalysed reactions and implications for the design of biochemical pathways.

Authors:  M A Savageau
Journal:  Biosystems       Date:  1998 Jun-Jul       Impact factor: 1.973

9.  Mechanistic modelling of drug release from multi-layer capsules.

Authors:  Badr Kaoui; Marco Lauricella; Giuseppe Pontrelli
Journal:  Comput Biol Med       Date:  2017-12-18       Impact factor: 4.589

10.  Nonlinear kinetics of ferritin adsorption.

Authors:  H Nygren
Journal:  Biophys J       Date:  1993-10       Impact factor: 4.033

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  2 in total

Review 1.  Benefits of Fractal Approaches in Solid Dosage Form Development.

Authors:  Renata Abreu-Villela; Martin Kuentz; Isidoro Caraballo
Journal:  Pharm Res       Date:  2019-09-06       Impact factor: 4.200

2.  Heat Transport on Ultrashort Time and Space Scales in Nanosized Systems: Diffusive or Wave-like?

Authors:  S L Sobolev; Weizhong Dai
Journal:  Materials (Basel)       Date:  2022-06-17       Impact factor: 3.748

  2 in total

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