Drug Inhibition Profile Prediction for NF[kappa]B Pathway in Multiple Myeloma

Nuclear factor [kappa]B (NF[kappa]B) activation plays a crucial role in anti-apoptotic responses in response to the apoptotic signaling during tumor necrosis factor (TNF[alpha]) stimulation in Multiple Myeloma (MM). Although several drugs have been found effective for the treatment of MM by mainly inhibiting NF[kappa]B pathway, there are not any quantitative or qualitative results of comparison assessment on inhibition effect between different drugs either used alone or in combinations. Computational modeling is becoming increasingly indispensable for applied biological research mainly because it can provide strong quantitative predicting power. In this study, a novel computational pathway modeling approach is employed to comparably assess the inhibition effects of specific drugs used alone or in combinations on the NF[kappa]B pathway in MM and to predict the potential synergistic drug combinations.