title: Drug inhibition profile prediction for NFκB pathway in multiple myeloma.
abstract: 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.
authors.affiliation: Department of Radiology, The Methodist Hospital Research Institute and Weill Cornell Medical College, Houston, Texas, United States of America.
authors.forename: Huiming
authors.initials: H
authors.lastname: Peng
authors.forename: Jianguo
authors.initials: J
authors.lastname: Wen
authors.forename: Hongwei
authors.initials: H
authors.lastname: Li
authors.forename: Jeff
authors.initials: J
authors.lastname: Chang
authors.forename: Xiaobo
authors.initials: X
authors.lastname: Zhou
mesh_terms: D004357:Drug Synergism; D006801:Humans; D008954:Models, Biological; D009101:Multiple Myeloma / Q000188:drug therapy* / Q000378:metabolism*; D016328:NF-kappa B / Q000037:antagonists & inhibitors* / Q000378:metabolism; D015398:Signal Transduction
chemical_list: D016328:NF-kappa B