Title :
Developing an in silico model of the modulation of base excision repair using methoxyamine for more targeted cancer therapeutics
Author :
Gurkan-Cavusoglu, Evren ; Avadhani, Sriya ; Lili Liu ; Kinsella, Timothy J. ; Loparo, Kenneth A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH, USA
Abstract :
Base excision repair (BER) is a major DNA repair pathway involved in the processing of exogenous non-bulky base damages from certain classes of cancer chemotherapy drugs as well as ionising radiation (IR). Methoxyamine (MX) is a small molecule chemical inhibitor of BER that is shown to enhance chemotherapy and/or IR cytotoxicity in human cancers. In this study, the authors have analysed the inhibitory effect of MX on the BER pathway kinetics using a computational model of the repair pathway. The inhibitory effect of MX depends on the BER efficiency. The authors have generated variable efficiency groups using different sets of protein concentrations generated by Latin hypercube sampling, and they have clustered simulation results into high, medium and low efficiency repair groups. From analysis of the inhibitory effect of MX on each of the three groups, it is found that the inhibition is most effective for high efficiency BER, and least effective for low efficiency repair.
Keywords :
DNA; biochemistry; cancer; cellular biophysics; drugs; medical computing; molecular biophysics; physiological models; proteins; radiation therapy; statistical analysis; BER efficiency; BER molecule chemical inhibitor; BER pathway kinetics; DNA repair pathway; Latin hypercube sampling; base excision repair modulation; cancer chemotherapy drug; chemotherapy enhancement; clustered simulation; computational model; exogenous nonbulky base damage processing; high efficiency repair group; human cancer; in silico model; ionising radiation cytotoxicity enhancement; low efficiency repair group; medium efficiency repair group; methoxyamine inhibitory effect; protein concentration; targeted cancer therapeutics;
Journal_Title :
Systems Biology, IET
DOI :
10.1049/iet-syb.2011.0045