Department of Radiology, The Methodist Hospital Research Institute and Weill Cornell Medical College, Houston, Texas, United States of America.
PLoS One. 2011 Mar 7;6(3):e14750. doi: 10.1371/journal.pone.0014750.
Nuclear factor κB (NFκB) activation plays a crucial role in anti-apoptotic responses in response to the apoptotic signaling during tumor necrosis factor (TNFα) stimulation in Multiple Myeloma (MM). Although several drugs have been found effective for the treatment of MM by mainly inhibiting NFκB 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 NFκB pathway in MM and to predict the potential synergistic drug combinations.
核因子 κB（NFκB）的激活在肿瘤坏死因子（TNFα）刺激多发性骨髓瘤（MM）时的凋亡信号反应中发挥着至关重要的抗凋亡作用。虽然已经发现几种药物通过主要抑制 NFκB 通路对 MM 的治疗有效，但对于单独使用或联合使用的不同药物之间的抑制效果，没有任何定量或定性的比较评估结果。计算模型在应用生物学研究中变得越来越不可或缺，主要是因为它可以提供强大的定量预测能力。在这项研究中，采用了一种新的计算通路建模方法来比较评估单独使用或联合使用特定药物对 MM 中 NFκB 通路的抑制作用，并预测潜在的协同药物组合。
