A novel quantitative systems biology approach to cancer research and treatment

ATM in focus: A damage sensor and cancer target

“…It is increasingly becoming obvious this complexity in determining the absolute effects of drug intervention necessitates parallel theoretical and experimental considerations. This could be best addressed by employing a systems biology approach to the problem, involving mathematical modelling of biological processes [156][157][158][159][160]. To fulfil this, there is a need for collecting quantitative dynamic information of DDR signalling proteins at high temporal resolution and identify how its sub branches e.g.…”

Cyclin-Dependent Kinases as Drug Targets for Cell Growth and Proliferation Disorders. A Role for Systems Biology Approach in Drug Development. Part II—CDKs as Drug Targets in Hypertrophic Cell Growth. Modelling of Drugs Targeting CDKs

“…though they often yield additional benefits to the modeller's experience in the process, if they are introduced too early at the stage of model design, the spectrum of all potential possibilities and outcomes may be hugely affected with negative consequences. the notion that the relevant informative aspect of modelling should be driven by a secure process rather than subverting towards existing biological knowledge should be appreciated (11,12,43).…”

“…likewise, modelling and network inference procedures have been used in all different types of networks: metabolomics, protein-interaction, signaltransduction networks, and genetic regulatory networks. examples include the use of graphical networks, nonlinear differential equations and bifurcation theory for the description of the regulation of cell cycle protein interactions (11,12,13). novak and tyson (18,27,30) offered a generic wiring diagram of the cDK network by explaining the various signal and response mechanisms that can occur as part of a biological control system, including sigmoid response, positive and negative feedback, and oscillations with a description of the mathematical structures in each case.…”

Advocating the need of a systems biology approach for personalised prognosis and treatment of B-CLL patients

“…Each pathway is subject to an intensive study by the computational systems biology approach: modelling of the cell cycle [65][66][67][68][69][70][71][72][73], apoptosis [74][75][76], MAPK and PI3K/AKT pathways [77,78]. As these pathways are involved in cell proliferation, survival and cell death, computational models of these pathways are considered promising tools in cancer research for prediction of cancer disease progression, development of biomarkers, and drug therapy efficacy [79][80][81][82].…”