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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tao You Hong Yue |
| Copyright Year | 2014 |
| Description | Author affiliation: Comput. Biol., Discovery Sci., Innovative Medicines & Early Dev., AstraZeneca, Macclesfield, UK (Tao You) || Dept. of Electr. & Electron. Eng., Univ. of Strathclyde, Glasgow, UK (Hong Yue) |
| Abstract | At early drug discovery, purified protein-based assays are often used to characterise compound potency. As far as dose response is concerned, it is often thought that a time-independent inhibitor is reversible and a time-dependent inhibitor is irreversible. Using a simple kinetics model, we investigate the legitimacy of this. Our model-based analytical analysis and numerical studies reveal that dose response of an irreversible inhibitor may appear time-independent under certain parametric conditions. Hence, time-independence cannot be used as evidence for inhibitor reversibility. Furthermore, we also analysed how the synthesis and degradation of a target receptor affect drug inhibition in an in vitro cell-based assay setting. Indeed, these processes may also influence dose response of an irreversible inhibitor in such a way that it appears time-independent under certain conditions. Hence, time-independent dose response in a cell assay also needs careful considerations. It is necessary to formulate a suitable model for analysis of protein-based assay and in vitro cell assay data to ensure a consistent understanding. |
| Starting Page | 38 |
| Ending Page | 43 |
| File Size | 348814 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479956692 |
| DOI | 10.1109/BIBM.2014.6999257 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Drugs Degradation Proteins model of receptor turnover Inhibitors irreversible inhibition slow drug process time-scale analysis Numerical models Approximation methods In vitro fast drug process |
| Content Type | Text |
| Resource Type | Article |
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