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Evolution of biophysical tools for quantitative protein interactions and drug discovery

机译:定量蛋白质相互作用和药物发现的生物物理工具的演变

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摘要

With millions of signalling events occurring simultaneously, cells process a continuous flux of information. The genesis, processing, and regulation of information are dictated by a huge network of protein interactions. This is proven by the fact that alterations in the levels of proteins, single amino acid changes, post-translational modifications, protein products arising out of gene fusions alter the interaction landscape leading to diseases such as congenital disorders, deleterious syndromes like cancer, and crippling diseases like the neurodegenerative disorders which are often fatal. Needless to say, there is an immense effort to understand the biophysical basis of such direct interactions between any two proteins, the structure, domains, and sequence motifs involved in tethering them, their spatio-temporal regulation in cells, the structure of the network, and their eventual manipulation for intervention in diseases. In this chapter, we will deliberate on a few techniques that allow us to dissect the thermodynamic and kinetic aspects of protein interaction, how innovation has rendered some of the traditional techniques applicable for rapid analysis of multiple samples using small amounts of material. These advances coupled with automation are catching up with the genome-wide or proteome-wide studies aimed at identifying new therapeutic targets. The chapter will also summarize how some of these techniques are suited either in the standalone mode or in combination with other biophysical techniques for the drug discovery process.
机译:随着数百万个信号事件的同时发生,细胞处理信息的连续通量。信息的起源,处理和调节是由巨大的蛋白质相互作用网络决定的。事实证明,蛋白质水平的改变,单个氨基酸的变化,翻译后修饰,基因融合产生的蛋白质产物改变了相互作用的局势,导致疾病,例如先天性疾病,如癌症等疾病,以及破烂不堪像神经退行性疾病这样的疾病通常是致命的。不用说,要理解任何两种蛋白质之间这种直接相互作用的生物物理基础,即涉及它们的结构,域和序列基序,它们的结构,它们的时空调节,网络的结构,网络结构,网络的时空调节,以及他们最终对疾病干预的操纵。在本章中,我们将考虑一些使我们能够剖析蛋白质相互作用的热力学和动力学方面的技术,创新如何渲染一些适用于使用少量材料快速分析多个样品的传统技术。这些进步与自动化相结合,正在赶上旨在鉴定新的治疗靶标的全基因组或全蛋白质组研究。本章还将总结其中的某些技术如何在独立模式下或与其他生物物理技术结合使用,用于药物发现过程。

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