Literature DB >> 16236428

Using a mammalian cell cycle simulation to interpret differential kinase inhibition in anti-tumour pharmaceutical development.

C Chassagnole1, R C Jackson, N Hussain, L Bashir, C Derow, J Savin, D A Fell.   

Abstract

Systems biology needs to show practical relevance to commercial biological challenges such as those of pharmaceutical development. The aim of this work is to design and validate some applications in anti-cancer therapeutic development. The test system was a group of novel cyclin-dependent kinase (CDK) inhibitors synthesised by Cyclacel Ltd. The measured in vitro IC50s of each compound were used as input data to a proprietary cell cycle model developed by Physiomics plc. The model was able to predict over three orders of magnitude the cytotoxicity of each compound without model adaptation to specific cancer cell types. This pattern matched the experimentally determined data. One class of compounds was predicted to cause an increase of the cell cycle length with a non-linear dose-response curve. Further work will use apoptosis and DNA replication simulations to look at overall cell effects.

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Year:  2005        PMID: 16236428     DOI: 10.1016/j.biosystems.2005.04.007

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  7 in total

Review 1.  Cytomics - importance of multimodal analysis of cell function and proliferation in oncology.

Authors:  A Tárnok; J Bocsi; G Brockhoff
Journal:  Cell Prolif       Date:  2006-12       Impact factor: 6.831

2.  Analysis of cell cycle dynamics using probabilistic cell cycle models.

Authors:  Evren Gurkan-Cavusoglu; Jane E Schupp; Timothy J Kinsella; Kenneth A Loparo
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

3.  Quantitative analysis of the effects of iododeoxyuridine and ionising radiation treatment on the cell cycle dynamics of DNA mismatch repair deficient human colorectal cancer cells.

Authors:  Evren Gurkan-Cavusoglu; Jane E Schupp; Timothy J Kinsella; Kenneth A Loparo
Journal:  IET Syst Biol       Date:  2013-08-01       Impact factor: 1.615

4.  A quantitative model of the initiation of DNA replication in Saccharomyces cerevisiae predicts the effects of system perturbations.

Authors:  Rohan D Gidvani; Peter Sudmant; Grace Li; Lance F DaSilva; Brendan J McConkey; Bernard P Duncker; Brian P Ingalls
Journal:  BMC Syst Biol       Date:  2012-06-27

5.  Pharmacodynamic modelling of biomarker data in oncology.

Authors:  Robert C Jackson
Journal:  ISRN Pharmacol       Date:  2012-02-16

6.  Modelling of the cancer cell cycle as a tool for rational drug development: A systems pharmacology approach to cyclotherapy.

Authors:  Robert C Jackson; Giovanni Y Di Veroli; Siang-Boon Koh; Ian Goldlust; Frances M Richards; Duncan I Jodrell
Journal:  PLoS Comput Biol       Date:  2017-05-03       Impact factor: 4.475

7.  Systems level modeling of the cell cycle using budding yeast.

Authors:  B P Ingalls; B P Duncker; D R Kim; B J McConkey
Journal:  Cancer Inform       Date:  2007-12-11
  7 in total

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