Abstract
NFkb activation plays a crucial role in anti-apoptotic responses in response to the apoptotic signaling during tumor necrosis factor (NFkb) stimulation in Multiple Myeloma (MM). Although several drugs have been found effective for the treatment of MM by mainly inhibiting NFkb pathway, there are no any quantitative or qualitative results of comparison assessment on inhibition effect between different single drugs or drug 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 single drugs and drug combinations on the NFkb pathway in MM, especially the prediction of synergistic drug combinations.
Original language | English (US) |
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Pages (from-to) | 1087-1093 |
Number of pages | 7 |
Journal | World Academy of Science, Engineering and Technology |
Volume | 65 |
State | Published - May 2010 |
Keywords
- Computational modeling
- Drug combination
- Inhibition effect
- Multiple Myeloma
- NFkB pathway
ASJC Scopus subject areas
- General Engineering