Modeling resistance to vemurafenib using integrative approaches: pitfalls and opportunities
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Master Thesis
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Abstract
Drug resistance against targeted inhibitors is a complex problem that prevents efficient treatment of many tumors. Drug resistance can occur on multiple levels, requiring the acquisition and integration of system-wide data. We review the pitfalls of data integration across different layers of biology together with possible approaches to integrate the data. Additionally, we propose a model that enables the identification of mechanisms that underlie drug resistance through the integration of different layers of biological data.
Keywords
Drug resistance, melanoma, tumor, cancer, MAPK pathway, systems biology, integration, targeted therapy, modeling