Prediction of Function Determining and Buried Residues Through Analysis of Saturation Mutagenesis Datasets

Bhasin, M and Varadarajan, R (2021) Prediction of Function Determining and Buried Residues Through Analysis of Saturation Mutagenesis Datasets. In: Frontiers in Molecular Biosciences, 8 .

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Abstract

Mutational scanning can be used to probe effects of large numbers of point mutations on protein function. Positions affected by mutation are primarily at either buried or at exposed residues directly involved in function, hereafter designated as active-site residues. In the absence of prior structural information, it has not been easy to distinguish between these two categories of residues. We curated and analyzed a set of twelve published deep mutational scanning datasets. The analysis revealed differential patterns of mutational sensitivity and substitution preferences at buried and exposed positions. Prediction of buried-sites solely from the mutational sensitivity data was facilitated by incorporating predicted sequence-based accessibility values. For active-site residues we observed mean sensitivity, specificity and accuracy of 61, 90 and 88 respectively. For buried residues the corresponding figures were 59, 90 and 84 while for exposed non active-site residues these were 98, 44 and 82 respectively. We also identified positions which did not follow these general trends and might require further experimental re-validation. This analysis highlights the ability of deep mutational scans to provide important structural and functional insights, even in the absence of three-dimensional structures determined using conventional structure determination techniques, and also discuss some limitations of the methodology. © Copyright © 2021 Bhasin and Varadarajan.

Item Type:	Journal Article
Publication:	Frontiers in Molecular Biosciences
Publisher:	Frontiers Media S.A.
Additional Information:	The copyright for this article belongs to Authors
Department/Centre:	Division of Biological Sciences > Molecular Biophysics Unit
Date Deposited:	20 Apr 2021 06:31
Last Modified:	20 Apr 2021 06:31
URI:	http://eprints.iisc.ac.in/id/eprint/68636

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