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Intragenic compensation through the lens of deep mutational scanning.
Azbukina, Nadezhda; Zharikova, Anastasia; Ramensky, Vasily.
Afiliación
  • Azbukina N; Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 1-73, Leninskie Gory, 119991 Moscow, Russia.
  • Zharikova A; Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 1-73, Leninskie Gory, 119991 Moscow, Russia.
  • Ramensky V; National Medical Research Center for Therapy and Preventive Medicine, Petroverigsky per., 10, Bld.3, 101000 Moscow, Russia.
Biophys Rev ; 14(5): 1161-1182, 2022 Oct.
Article en En | MEDLINE | ID: mdl-36345285
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. Supplementary Information The online version contains supplementary material available at 10.1007/s12551-022-01005-w.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Biophys Rev Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Biophys Rev Año: 2022 Tipo del documento: Article