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A metabolic network approach for the identification and prioritizationTI A metabolic network approach for the identification and prioritization of antimicrobial drug targets

机译:用于识别和确定优先级的代谢网络方法TI用于确定和确定抗菌药物靶标的代谢网络方法

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摘要

For many infectious diseases, novel treatment options are needed in order to address problems with cost, toxicity and resistance to current drugs. Systems biology tools can be used to gain valuable insight into pathogenic processes and aid in expediting drug discovery. In the past decade, constraint-based modeling of genome-scale metabolic networks has become widely used. Focusing on pathogen metabolic networks, we review in silico strategies used to identify effective drug targets and highlight recent successes as well as limitations associated with such computational analyses. We further discuss how accounting for the host environment and even targeting the host may offer new therapeutic options. These systems-level approaches are beginning to provide novel avenues for drug targeting against infectious agents.
机译:对于许多传染病,需要新颖的治疗方案以解决成本,毒性和对现有药物的抗性问题。系统生物学工具可用于获得对致病过程的宝贵见解,并有助于加快药物发现。在过去的十年中,基于约束的基因组规模代谢网络建模已得到广泛使用。着眼于病原体代谢网络,我们回顾了用于识别有效药物靶标的计算机策略,并强调了最近的成功以及与此类计算分析相关的局限性。我们进一步讨论了考虑宿主环境甚至针对宿主的方法如何提供新的治疗选择。这些系统级方法开始为针对传染病的药物靶向提供新途径。

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