NFkb pathway modeling for optimal drug combination therapy on multiple myeloma

Huiming Peng, Jianguo Wen, Hongwei Li, Jeff Chang, Xiaobo Zhou

Research output: Contribution to journalArticlepeer-review

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 languageEnglish (US)
Pages (from-to)1087-1093
Number of pages7
JournalWorld Academy of Science, Engineering and Technology
Volume65
StatePublished - May 2010

Keywords

  • Computational modeling
  • Drug combination
  • Inhibition effect
  • Multiple Myeloma
  • NFkB pathway

ASJC Scopus subject areas

  • General Engineering

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