Literature DB >> 15094319

A mathematical model for the in vitro kinetics of the anti-cancer agent topotecan.

Neil D Evans1, Rachel J Errington, Michael Shelley, Graham P Feeney, Michael J Chapman, Keith R Godfrey, Paul J Smith, Michael J Chappell.   

Abstract

In this paper a compartmental modelling approach is applied to provide a mathematical description of the activity of the anti-cancer agent topotecan, and delivery to its nuclear DNA target following administration. The activity of topotecan in defined buffers is first modelled using a linear two compartment model that then forms the basis of a cell based model for drug activity in live cell experiments. An identifiability analysis is performed before parameter estimation to ensure that the model output (i.e., continuous, perfect and noise-free data) uniquely determines the parameters. Parameter estimation is performed using experimental data which offers concentrations of active and inactive forms of topotecan from high performance liquid chromatography methods.

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Year:  2004        PMID: 15094319     DOI: 10.1016/j.mbs.2004.01.007

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  8 in total

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Authors:  Somna Mishra; V K Katiyar
Journal:  J Biosci       Date:  2008-09       Impact factor: 1.826

2.  Quantification of the interceptor action of caffeine on the in vitro biological effect of the anti-tumour agent topotecan.

Authors:  M P Evstigneev; A A Mosunov; V P Evstigneev; H G Parkes; D B Davies
Journal:  Eur Biophys J       Date:  2011-06-15       Impact factor: 1.733

3.  A state space transformation can yield identifiable models for tracer kinetic studies with enrichment data.

Authors:  Rajasekhar Ramakrishnan; Janak D Ramakrishnan
Journal:  Bull Math Biol       Date:  2010-03-03       Impact factor: 1.758

Review 4.  Mathematical modeling as a tool for planning anticancer therapy.

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Journal:  Eur J Pharmacol       Date:  2009-10-13       Impact factor: 4.432

5.  Mathematical and computational models of drug transport in tumours.

Authors:  C M Groh; M E Hubbard; P F Jones; P M Loadman; N Periasamy; B D Sleeman; S W Smye; C J Twelves; R M Phillips
Journal:  J R Soc Interface       Date:  2014-03-12       Impact factor: 4.118

6.  A method for efficient calculation of diffusion and reactions of lipophilic compounds in complex cell geometry.

Authors:  Kristian Dreij; Qasim Ali Chaudhry; Bengt Jernström; Ralf Morgenstern; Michael Hanke
Journal:  PLoS One       Date:  2011-08-31       Impact factor: 3.240

7.  Parameter Identifiability of Fundamental Pharmacodynamic Models.

Authors:  David L I Janzén; Linnéa Bergenholm; Mats Jirstrand; Joanna Parkinson; James Yates; Neil D Evans; Michael J Chappell
Journal:  Front Physiol       Date:  2016-12-05       Impact factor: 4.566

8.  Cancer immunoediting: A game theoretical approach.

Authors:  Fatemeh Tavakoli; Javad Salimi Sartakhti; Mohammad Hossein Manshaei; David Basanta
Journal:  In Silico Biol       Date:  2021
  8 in total

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