Cancer drug therapy and stochastic modelling of “nano-motors”

Sherin, L, Farwa, S, Sohail, A, Beg, OA ORCID: https://orcid.org/0000-0001-5925-6711 and Li, Z 2018, 'Cancer drug therapy and stochastic modelling of “nano-motors”' , International Journal of Nanomedicine, 2018 (13) , pp. 6429-6440.

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Abstract

Controlled inhibition of kinesin motor proteins is highly desired in the field of oncology. Among other interventions, the selective Eg5 competitive and allosteric inhibitors is the most successful targeted chemotherapeutic regime/options, inducing cancer cell apoptosis and tumor regression with improved safety profile. Though promising, this approach is under clinical trials, for the discovery of efficient and least harmful Eg5 inhibitors. The aim of present research is to bridge the computational modelling approach with drug design and therapy of cancer cells. Thus a computational model, interfaced with the clinical data of “Eg5 dynamics” and “inhibitors” via special functions is presented in this article. Comparisons are made for the drug efficacy and the threshold values are predicted through numerical simulations.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: International Journal of Nanomedicine
Publisher: Dove Medical Press
ISSN: 1178-2013
Related URLs:
Depositing User: OA Beg
Date Deposited: 04 Sep 2018 10:00
Last Modified: 24 Jan 2020 08:31
URI: http://usir.salford.ac.uk/id/eprint/48230

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