Literature DB >> 7203704

Kinetic simulation of anticancer drug interactions.

R C Jackson.   

Abstract

A model is described that simulates the biochemical pathways of folate and nucleotide metabolism involved in DNA precursor biosynthesis. Examples are given of use of the model to study various aspects of the biochemical pharmacology of antitumour drugs. Modelling may be done in two ways: detailed simulation of all variables may be conducted for short time periods (less than 6 h of real time); alternatively, by assuming that concentrations of rapidly interconvertible metabolites remain close to steady-state proportions, time periods of several days may be modelled, facilitating simulation of cell growth in presence of drugs. Experiments designed to test predictions for these various types of study are described.

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Year:  1980        PMID: 7203704     DOI: 10.1016/0020-7101(80)90045-8

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  7 in total

1.  Use of the circuit simulation program SPICE2 for analysis of the metabolism of anticancer drugs.

Authors:  J C White
Journal:  Bull Math Biol       Date:  1986       Impact factor: 1.758

2.  Kinetic simulation of anticancer drug effects on metabolic pathway fluxes: two case studies.

Authors:  R C Jackson
Journal:  Bull Math Biol       Date:  1986       Impact factor: 1.758

Review 3.  Combinatorial drug therapy for cancer in the post-genomic era.

Authors:  Bissan Al-Lazikani; Udai Banerji; Paul Workman
Journal:  Nat Biotechnol       Date:  2012-07-10       Impact factor: 54.908

4.  Mathematical modeling of folate metabolism.

Authors:  John C Panetta; Steven W Paugh; William E Evans
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-05-22

5.  On systems and control approaches to therapeutic gain.

Authors:  Tomas Radivoyevitch; Kenneth A Loparo; Robert C Jackson; W David Sedwick
Journal:  BMC Cancer       Date:  2006-04-25       Impact factor: 4.430

6.  Rat liver folate metabolism can provide an independent functioning of associated metabolic pathways.

Authors:  Aleksandr V Zaitsev; Michael V Martinov; Victor M Vitvitsky; Fazoil I Ataullakhanov
Journal:  Sci Rep       Date:  2019-05-21       Impact factor: 4.379

Review 7.  Drug Combinations: Mathematical Modeling and Networking Methods.

Authors:  Vahideh Vakil; Wade Trappe
Journal:  Pharmaceutics       Date:  2019-05-02       Impact factor: 6.321

  7 in total

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