Center for Computational Biology, Indraprastha Institute of Information Technology,
Delhi
India
Research Article
In Silico Approach to Find an Optimal Strategy in Selective Targeting of Cancer Cells
Author(s): Subhadip RaychaudhuriSubhadip Raychaudhuri
Cancer chemoresistance (including adaptive resistance) has emerged as a barrier in developing successful chemotherapeutic strategies. We use Monte Carlo simulation based single cell analysis to provide insights into the regulatory mechanisms for generating chemoresistance under TRAIL (death ligand) induction. Based on stochastic computer simulations we elucidate systems biology of cancer cell apoptosis (at the level of single cells) and search for an optimal death ligand from a group of recently studied TRAIL affinity variants. In addition to assessing the population level behavior in cell death activation under induction of TRAIL/TRAIL-variant, Monte Carlo approach allows us to analyze cell-to-cell stochastic fluctuations in time-to-death that has implications for generating resistant cancer cells. We discuss application of Monte Carlo simulations in.. Read More»
DOI:
10.4172/jcsb.1000228
Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report