Athanasios Alexiou, Charalampos Vairaktarakis, Vasileios Tsiamis, Ashraf Ghulam Md
Novel Global Community Educational Foundation, School of Science, Australia.
King Fahd Medical Research Center, King Abdulaziz University, P.O. Box 80216, Jeddah 21589, Saudi Arabia.
Curr Drug Metab. 2017;18(1):5-10. doi: 10.2174/138920021801170119204832.
The investigation of the cellular components, their interactions and related functions constitute the major conditions in order to understand the cell as an integrated system. More specifically, the Protein-Protein Interactions and the obtained networks are very important in the majority of biological functions and processes, while most of the proteins appear to activate their functionalities through their interaction.
Our in depth review analysis, include Sixty-five peer-reviewed research and review studies from several bibliographic databases. The most significant components were fully described, filtered, combined and analyzed in order to provide documented proofs on the Protein-Protein Interaction Network' applications in biomedicine.
The Protein-Protein Interaction Network' alignment and mapping give the opportunity of further knowledge extraction concerning the evolutionary relationships between the species through conserved pathways and protein complexes. Additionally, Protein-Protein Interaction Network information has been demonstrated to be able to predict functionally orthologous proteins within sequence homology clusters. Our review analysis concluded that, while Protein- Protein Interaction was used to be characterized just by their large and plain interacting surfaces, they were considered inapplicable for drug discovery studies for a long time.
The present review explores multiple technologies implicated in Protein-Protein Interaction Networks, implicating their potential role in drug discovery mechanisms.
对细胞成分、它们之间的相互作用以及相关功能进行研究,是将细胞理解为一个整合系统的主要条件。更具体地说,蛋白质-蛋白质相互作用以及由此获得的网络在大多数生物学功能和过程中非常重要,而大多数蛋白质似乎通过相互作用来激活其功能。
我们深入的综述分析包括来自多个文献数据库的65项同行评审的研究和综述。对最重要的成分进行了全面描述、筛选、整合和分析,以便为蛋白质-蛋白质相互作用网络在生物医学中的应用提供文献证据。
蛋白质-蛋白质相互作用网络的比对和映射,为通过保守途径和蛋白质复合物进一步了解物种间的进化关系提供了机会。此外,蛋白质-蛋白质相互作用网络信息已被证明能够在序列同源簇中预测功能上直系同源的蛋白质。我们的综述分析得出结论,虽然蛋白质-蛋白质相互作用过去常因其大而平坦的相互作用表面而被表征,但它们长期以来被认为不适用于药物发现研究。
本综述探讨了与蛋白质-蛋白质相互作用网络相关的多种技术,阐明了它们在药物发现机制中的潜在作用。