Abstract
A significant fraction of mutations in proteins are deleterious and result in adverse consequences for protein function, stability, or interaction with other molecules. Intragenic compensation is a specific case of positive epistasis when a neutral missense mutation cancels effect of a deleterious mutation in the same protein. Permissive compensatory mutations facilitate protein evolution, since without them all sequences would be extremely conserved. Understanding compensatory mechanisms is an important scientific challenge at the intersection of protein biophysics and evolution. In human genetics, intragenic compensatory interactions are important since they may result in variable penetrance of pathogenic mutations or fixation of pathogenic human alleles in orthologous proteins from related species. The latter phenomenon complicates computational and clinical inference of an allele’s pathogenicity. Deep mutational scanning is a relatively new technique that enables experimental studies of functional effects of thousands of mutations in proteins. We review the important aspects of the field and discuss existing limitations of current datasets. We reviewed ten published DMS datasets with quantified functional effects of single and double mutations and described rates and patterns of intragenic compensation in eight of them.
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Authors would like to thank Prof. Olga Kalinina and Dr. Alexander Gress for their input and collaboration.
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The study was funded by the RFBR and DFG research project No 20-54-12008.
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Azbukina, N., Zharikova, A. & Ramensky, V. Intragenic compensation through the lens of deep mutational scanning. Biophys Rev 14, 1161–1182 (2022). https://doi.org/10.1007/s12551-022-01005-w
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DOI: https://doi.org/10.1007/s12551-022-01005-w