髓磷脂特异性蛋白模式和相关人类疾病的生物信息学方法

Samiie Pouragahi, M. Sanati, M. Sadeghi, Marjan Nassiri-Asl
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摘要

背景:最近的神经信息学研究,在蛋白质结构-功能相互作用的基础上,人类疾病的病原体表明,不同蛋白质类别的功能障碍或缺陷可能与几种相关疾病有关。目的:本研究的目的是利用生物信息学方法来了解髓鞘蛋白2 (PMP2)的结构、功能和关系,髓鞘蛋白2是神经疾病的基础。方法:采用一种新的方法,利用数据库系统地开发蛋白质结构、蛋白质家族和人类疾病分类等分类信息。知识发现是基于收集标准和计算机集成体外研究进行的。结果:生物信息学共病蛋白质组学研究的评估结果显示,PMP2是细胞内和膜内髓鞘蛋白,对神经炎疾病具有特异性,并与其他疾病协同作用。麻风病是另一种可能与神经炎有关的神经疾病,由干扰素γ (IFNG)组成,干扰素γ是一种分泌蛋白,包括来自神经炎的各种蛋白类。结论:生物信息学数据库中信息的增长速度有助于在观察研究之前对活生物体进行研究。两种不同的蛋白质可能是一种疾病的病原体。然而,来自同一疾病组的两种相关疾病可能由不同的蛋白质类组成。未来在蛋白质组学领域的研究可以让我们对不同疾病中蛋白质重组的现代认识,并导致这些疾病的病因的发现。关键词:生物信息学数据库,髓磷脂蛋白2 (PMP2),蛋白质分类,人类疾病
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioinformatics Approach for Pattern of Myelin-Specific Proteins and Related Human Disorders
Background: Recent neuroinformatic studies, on the structure-function interaction of proteins, causative agents basis of human disease have implied that dysfunction or defect of different protein classes could be associated with several related diseases. Objectives: The aim of this study was the use of bioinformatics approaches for understanding the structure, function and relationship of myelin protein 2 (PMP2), a myelin-basic protein in the basis of neuronal disorders. Methods: A collection of databases for exploiting classification information systematically, including, protein structure, protein family and classification of human disease, based on a new approach was used. Knowledge discovery was carried out based on collections criteria and in silico integrative in vitro studies. Results: The results of the evaluation of bioinformatics comorbid proteomics studies revealed that PMP2, an intracellular andmembrane myelin protein, is specific for a neuritis disease and collaborative to other diseases. Leprosy, another neuronal disease that could be related to neuritis, consists of interferon gamma (IFNG), a secreted protein included various protein classes from what is neuritis. Conclusions: The growth rate of information in bioinformatics databases could facilitate studies of live organisms prior to observation studies. Two different protein classes could be causative agents of one disease. However, two related diseases from one disease group could consist of different protein classes. Future research in the field of proteomics could allow modern insight to reshuffling of proteins in different diseases, and lead to the discovery of the etiology of such diseases. Keywords: Bioinformatics Databases, Myelin Protein 2 (PMP2), Protein Classes, Human Disorders
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