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Bio Systems | Vol.83, Issue.2-3 | | Pages 91-7

Bio Systems

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

C, Chassagnole 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.

Original Text (This is the original text for your reference.)

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

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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C, Chassagnole R C, Jackson N, Hussain L, Bashir C, Derow J, Savin D A, Fell,.Using a mammalian cell cycle simulation to interpret differential kinase inhibition in anti-tumour pharmaceutical development.. 83 (2-3),91-7.

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