Evolution of biophysical tools for quantitative protein interactions and drug discovery. Issue 1 (14th May 2021)

• Record Type: Journal Article
• Authors: Harish, Mahalakshmi; Venkatraman, Prasanna
• Editors: Bose, Kakoli
• Is Part Of: Emerging topics in life sciences. Volume 5:Issue 1(2021)
• Page Start: 1
• Page End: 12
• Publication Date: 2021-05-14
• Subjects: biophysics -- drug discovery and design -- kinetics -- protein–protein interactions -- thermodynamics; Life sciences -- Periodicals; 570.5
• DOI: 10.1042/ETLS20200258
• Languages: English
• ISSNs: 2397-8554

Abstract

Abstract : 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.