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The intrinsic dimension of protein sequence evolution

Facco E.
•
Pagnani A.
•
Russo, Elena Tea
•
Laio A.
2019
  • journal article

Periodico
PLOS COMPUTATIONAL BIOLOGY
Abstract
It is well known that, in order to preserve its structure and function, a protein cannot change its sequence at random, but only by mutations occurring preferentially at specific locations. We here investigate quantitatively the amount of variability that is allowed in protein sequence evolution, by computing the intrinsic dimension (ID) of the sequences belonging to a selection of protein families. The ID is a measure of the number of independent directions that evolution can take starting from a given sequence. We find that the ID is practically constant for sequences belonging to the same family, and moreover it is very similar in different families, with values ranging between 6 and 12. These values are significantly smaller than the raw number of amino acids, confirming the importance of correlations between mutations in different sites. However, we demonstrate that correlations are not sufficient to explain the small value of the ID we observe in protein families. Indeed, we show that the ID of a set of protein sequences generated by maximum entropy models, an approach in which correlations are accounted for, is typically significantly larger than the value observed in natural protein families. We further prove that a critical factor to reproduce the natural ID is to take into consideration the phylogeny of sequences.
DOI
10.1371/journal.pcbi.1006767
WOS
WOS:000467530600023
Archivio
http://hdl.handle.net/20.500.11767/104316
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85065049462
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006767
Diritti
open access
Soggetti
  • Amino Acid Sequence

  • Computational Biology...

  • Databases, Protein

  • Models, Molecular

  • Mutation

  • Phylogeny

  • Protein Conformation

  • Protein Folding

  • Protein

  • Sequence Homology, Am...

  • Structural Homology, ...

  • Evolution, Molecular

  • Settore FIS/03 - Fisi...

Scopus© citazioni
7
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
10
Data di acquisizione
Mar 19, 2024
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