基于生物信息学的原核生物、古细菌和真核生物核酸结合蛋白鉴定低复杂性和内在无序区域的研究

Q1 Biochemistry, Genetics and Molecular Biology
B. Yadav, Swati Singh, Prashant Kumar, Devika Mathur, R. Meena, R. K. Agrawal, A. Mani
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引用次数: 1

摘要

转录因子(tf)中的内在无序区(idr)和低复杂性区(lcr)在各种细胞功能中起着关键作用。这些区域的构象灵活性使它们能够识别大量分子并与之相互作用。已有研究表明,与环境响应相关的某些tf在idr和lcr中显著富集。有人提出,所有生物体在响应环境条件时都使用这些idr和lcr来引入生物过程中相互作用的多功能性,以快速适应和响应具有挑战性的环境条件。对这些区域进行了比较研究,以测量不同类型tf中lcr和idr的平均丰度。本项目利用生物信息学方法鉴定了原核生物、真核生物和古细菌tf中的idr和lcr,并比较了idr和lcr的平均密度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioinformatics-based study on prokaryotic, archaeal and eukaryotic nucleic acid-binding proteins for identification of low-complexity and intrinsically disordered regions
ABSTRACT Intrinsically disordered regions (IDRs) and low-complexity regions (LCRs) in transcription factors (TFs) are known to be key players in various cellular functions. Conformational flexibility of these regions allows them to recognize and interact with a large number of molecules. Previous studies show that certain TFs which are related to environmental response are significantly enriched in IDRs and LCRs. It has been proposed that all organisms in response to environmental conditions use these IDRs and LCRs for introducing versatility in the interactions in biological processes to quickly adapt and respond to challenging environmental conditions. A comparative study has been conducted on these regions to measure the average abundance of LCRs and IDRs in different types of TFs. In this project we have identified the IDRs and LCRs in prokaryotic, eukaryotic and archaeal TFs by using bioinformatics and compared them for average density of IDRs and LCRs.
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来源期刊
Frontiers in Life Science
Frontiers in Life Science MULTIDISCIPLINARY SCIENCES-
CiteScore
5.50
自引率
0.00%
发文量
0
期刊介绍: Frontiers in Life Science publishes high quality and innovative research at the frontier of biology with an emphasis on interdisciplinary research. We particularly encourage manuscripts that lie at the interface of the life sciences and either the more quantitative sciences (including chemistry, physics, mathematics, and informatics) or the social sciences (philosophy, anthropology, sociology and epistemology). We believe that these various disciplines can all contribute to biological research and provide original insights to the most recurrent questions.
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