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首页> 外文期刊>Current Protein and Peptide Science >Evaluating Protein-protein Interaction (PPI) Networks for Diseases Pathway, Target Discovery, and Drug-design Using 'In silico Pharmacology'
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Evaluating Protein-protein Interaction (PPI) Networks for Diseases Pathway, Target Discovery, and Drug-design Using 'In silico Pharmacology'

机译:使用“计算机内药理学”评估疾病通路,靶标发现和药物设计的蛋白质-蛋白质相互作用(PPI)网络

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摘要

In silico pharmacology is a promising field in the current state-of drug discovery. This area exploits "protein-protein Interaction (PPI) network analysis for drug discovery using the drug "target class". To document the current status, we have discussed in this article how this an integrated system of PPI networks contribute to understand the disease pathways, present state-of-the-art drag target discovery and drug discovery process. This review article enhances our knowledge on conventional drug discovery and current drug discovery using in silico techniques, best "target class", universal architecture of PPI networks, the present scenario of disease pathways and protein-protein interaction networks as well as the method to comprehend the PPI networks. Taken all together, ultimately a snapshot has been discussed to be familiar with how PPI network architecture can used to validate a drug target. At the conclusion, we have illustrated the future directions of PPI in target discovery and drug-design.
机译:计算机硅药理学是当前药物开发中一个有前途的领域。该领域利用“蛋白质-蛋白质相互作用(PPI)网络分析,使用药物”目标类别”进行药物发现。为了记录当前状态,我们在本文中讨论了此PPI网络集成系统如何有助于理解疾病途径,当前最先进的药物拖曳目标发现和药物发现过程,这篇综述文章增强了我们对常规药物发现和当前药物发现的了解,这些技术使用计算机技术,最佳“目标类别”,PPI网络的通用结构,目前疾病路径和蛋白质-蛋白质相互作用网络的场景以及理解PPI网络的方法综上所述,最终讨论了快照,以熟悉如何使用PPI网络体系结构验证药物靶标。 ,我们已经说明了PPI在靶标发现和药物设计中的未来方向。

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