Our work is broadly organised in three interrelated parts. We initially constructed a basic apoptosis network (say N1) which is free of abnormal mutation and represents signalling pathways inside a healthy cell. We used the biological data for our studies based on the phosphorylation levels of signalling proteins and phenotypic responses taken from the biological experiments conducted in [5]. Hereafter, we call this data set as "Yaffe's data". We compared the simulation data from this network with the Yaffe's data using Genetic Algorithm and Dynamic Time Warping for DMSO treatment and derived a tumorigenic network (say N2). Then we modified N2 to fit with Yaffe's data to derive a drug sensitive network (say N3). N1 was constructed directly from literature; N2 consisted of edges added and deleted from N1 by Genetic Algorithm; N3 consisted of edges added and deleted from N2 by Genetic Algorithm.