The University of Southampton
University of Southampton Institutional Repository

On a biophysical and mathematical model of pgp-mediated multidrug resistance: understanding the “space–time” dimension of MDR

Panagiotopoulou, Vasiliki, Richardson, Giles, Jensen, Oliver E. and Rauch, Cyril (2010) On a biophysical and mathematical model of pgp-mediated multidrug resistance: understanding the “space–time” dimension of MDR European Biophysics Journal, 39, (2), pp. 201-211. (doi:10.1007/s00249-009-0555-5).

Record type: Article

Abstract

Multidrug resistance (MDR) is explained by drug transporters with a drug-handling activity. Despite much work, MDR remains multifaceted, and several conditions are required to generate drug resistance. The drug pumping was conceptually described using a kinetic, i.e., temporal, approach. The re-emergence of physical biology has allowed us to take into account new parameters focusing on the notion of space. This, in turn, has given us important clues regarding the process whereby drug and transporter interact. We will demonstrate that the likelihood of drug-transporter meeting (i.e., the affinity) and thus interaction are also driven by the mechanical interaction between drug molecular weight (MW) and the membrane mechanical properties. This should allow us to mechanically control drug delivery.

Full text not available from this repository.

More information

Published date: January 2010
Keywords: physical biology, pharmacokinetic, membrane, drug delivery, multi-drug resistance, lipinski’s second rule

Identifiers

Local EPrints ID: 156333
URI: http://eprints.soton.ac.uk/id/eprint/156333
ISSN: 0175-7571
PURE UUID: 2bb33257-8681-4269-bcbd-3a24177781ec

Catalogue record

Date deposited: 02 Jun 2010 09:54
Last modified: 18 Jul 2017 12:43

Export record

Altmetrics

Contributors

Author: Vasiliki Panagiotopoulou
Author: Oliver E. Jensen
Author: Cyril Rauch

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×