An Integrated Approach to Identify Intrinsically Disordered Regions in Osteopontin with its Interacting Network in Rheumatoid Arthritis.

Parul Johri, Sachidanand Singh, Prachi Sao, Sudeshana Banerjee, Mala Trivedi, Aditi Singh, Irena Kostova
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引用次数: 1

Abstract

Background: Credentials of molecular diagnostic approaches are an important goal. Since protein-protein interaction (PPI) network analysis is an apposite method for molecular valuation, a PPI grid related to Intrinsically Disordered Proteins (IDPs) of RA was targeted in the present research.

Aim: The aim of the study is to analyse the role of highly disordered proteins and their functional parameters in causing Rheumatoid Arthritis (RA).

Methods: Cytoscape software helped in identifying molecular interaction networks. Intrinsically disordered proteins lack higher order structure and have functional advantages, but their dysregulation can cause several diseases. All the significant proteins responsible for RA were identified. On the basis of the data obtained, highly disordered proteins were selected. Further, MSA was done to find the similarity among the highly disordered proteins and their functional partners. To determine the most relevant functional partner( s)/interacting protein(s) out of large network, three filters were introduced in the methodology.

Results: The two filtered proteins, IBSP and FGF2, have common functions and also play a vital role in the pathways of RA. Thus, gives an in-depth knowledge of molecular mechanisms involved in Rheumatoid Arthritis and targeted therapeutics.

Conclusion: The network analysis of these proteins has been explored using Cytoscape, and the proteins with favourable values of graph centrality parameters such as IBSP and FGF2 are identified. Interesting functional cross talk such as bio mineralization, boneremodelling, angiogenesis, cell differentiation, etc., of SPP1 with IBSP and FGF2 is found, which throws light into the fact that these two proteins play a vital role in the pathways of RA.

类风湿关节炎中骨桥蛋白内在紊乱区域及其相互作用网络的综合识别方法。
背景:分子诊断方法的证书是一个重要的目标。由于蛋白质-蛋白质相互作用(PPI)网络分析是一种合适的分子评估方法,因此本研究的目标是与RA的内在无序蛋白(IDPs)相关的PPI网格。目的:本研究的目的是分析高度紊乱蛋白及其功能参数在类风湿关节炎(RA)发病中的作用。方法:利用Cytoscape软件识别分子相互作用网络。内在无序蛋白缺乏高阶结构,具有功能优势,但其失调可引起多种疾病。确定了所有与RA相关的重要蛋白。根据获得的数据,选择高度无序的蛋白质。此外,MSA还发现了高度无序的蛋白质及其功能伙伴之间的相似性。为了从大网络中确定最相关的功能伙伴/相互作用蛋白,在方法中引入了三个过滤器。结果:IBSP和FGF2两种蛋白具有共同的功能,在RA的通路中发挥重要作用。因此,提供了一个深入的知识分子机制参与类风湿关节炎和靶向治疗。结论:利用Cytoscape对这些蛋白进行了网络分析,并鉴定出了具有良好图中心性参数值的蛋白如IBSP和FGF2。发现SPP1与IBSP和FGF2在生物矿化、骨建模、血管生成、细胞分化等方面存在有趣的功能串谈,揭示了这两种蛋白在RA通路中发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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