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Sequence–function–stability relationships in proteins from datasets of functionally annotated variants: The case of TEM β‐lactamases
Author(s) -
Abriata Luciano A.,
M. Salverda Merijn L.,
Tomatis Pablo E.
Publication year - 2012
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/j.febslet.2012.07.010
Subject(s) - function (biology) , computational biology , sequence (biology) , biology , mutation , stability (learning theory) , enzyme , amino acid , genetics , biochemistry , computer science , gene , machine learning
A dataset of TEM lactamase variants with different substrate and inhibition profiles was compiled and analyzed. Trends show that loops are the main evolvable regions in these enzymes, gradually accumulating mutations to generate increasingly complex functions. Notably, many mutations present in evolved enzymes are also found in simpler variants, probably originating functional promiscuity. Following a function‐stability tradeoff, the increase in functional complexity driven by accumulation of mutations fosters the incorporation of other stability‐restoring substitutions, although our analysis suggests they might not be as “global” as generally accepted and seem instead specific to different networks of protein sites. Finally, we show how this dataset can be used to model functional changes in TEMs based on the physicochemical properties of the amino acids.