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The response to selection in Glycoside Hydrolase Family 13 structures: A comparative quantitative genetics approach
Author(s) -
José Sergio Hleap,
Christian Blouin
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0196135
Subject(s) - protein data bank (rcsb pdb) , glycoside hydrolase , hydrolase , selection (genetic algorithm) , biology , computational biology , phylogenetic tree , hydrolysis , genetics , protein structure , sequence alignment , in silico , biochemistry , peptide sequence , enzyme , gene , computer science , artificial intelligence
The Glycoside Hydrolase Family 13 (GH13) is both evolutionarily diverse and relevant to many industrial applications. Its members hydrolyze starch into smaller carbohydrates and members of the family have been bioengineered to improve catalytic function under industrial environments. We introduce a framework to analyze the response to selection of GH13 protein structures given some phylogenetic and simulated dynamic information. We find that the TIM-barrel (a conserved protein fold consisting of eight α -helices and eight parallel β -strands that alternate along the peptide backbone, common to all amylases) is not selectable since it is under purifying selection. We also show a method to rank important residues with higher inferred response to selection. These residues can be altered to effect change in properties. In this work, we define fitness as inferred thermodynamic stability. We show that under the developed framework, residues 112Y, 122K, 124D, 125W, and 126P are good candidates to increase the stability of the truncated α -amylase protein from Geobacillus thermoleovorans (PDB code: 4E2O; α -1,4-glucan-4-glucanohydrolase; EC 3.2.1.1). Overall, this paper demonstrates the feasibility of a framework for the analysis of protein structures for any other fitness landscape.

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