Identification of the Factors Responsible for the Interaction of Hsp90α and its Client Proteins

Q3 Computer Science
Ashutosh Shukla, S. Paul
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引用次数: 0

Abstract

Hsp90 is a stress protein that acts as a molecular chaperone and is known to assist in the maturation, folding and stabilization of various cellular proteins known as ‘client proteins’. However, the factors that drive the interaction between Hsp90 and its client proteins are not well understood. In the present investigation, we predicted the basis of the different interaction of Hsp90 with both wild and mutant p53 and other client proteins. We have predicted that the presence of hydrophobic patches having substantial value of hydropathy index and a minimum percent similarity of hydrophobic patches between Hsp90 and its client proteins of 40 % is a necessary condition for client proteins to be recognized by Hsp90 . We also predicted that the overall percentage hydrophobicity of client proteins more than 20 is a required condition for them to bind with Hsp90 . The docking energy of p53 with Hsp90 and with multi-chaperone complex was also separately reported. We have reported from docking result that mutant p53 has a stronger interaction with Hsp90 when associated with multi-chaperone complex than wild type p53 and this might be one of the causes of breast cancer pathogenesis.
Hsp90α与其客户蛋白相互作用的相关因子鉴定
Hsp90是一种应激蛋白,作为分子伴侣,已知有助于各种被称为“客户蛋白”的细胞蛋白的成熟、折叠和稳定。然而,驱动Hsp90与其客户蛋白之间相互作用的因素尚不清楚。在本研究中,我们预测了Hsp90与野生型和突变型p53及其他客户蛋白不同相互作用的基础。我们预测,Hsp90与客户蛋白之间疏水贴片的亲水性指数和疏水贴片相似度至少为40%是客户蛋白被Hsp90识别的必要条件。我们还预测,客户蛋白的总体疏水性百分比大于20是它们与Hsp90结合的必要条件。p53与Hsp90和多伴侣复合物的对接能量也分别被报道。我们从对接结果中报道,突变型p53与多伴侣复合物相关时与Hsp90的相互作用强于野生型p53,这可能是乳腺癌发病的原因之一。
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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来源期刊
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
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