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Patterns of coevolving amino acids unveil structural and dynamical domains.

Daniele GranataLuca PonzoniCristian MichelettiVincenzo Carnevale
Published in: Proceedings of the National Academy of Sciences of the United States of America (2017)
Patterns of interacting amino acids are so preserved within protein families that the sole analysis of evolutionary comutations can identify pairs of contacting residues. It is also known that evolution conserves functional dynamics, i.e., the concerted motion or displacement of large protein regions or domains. Is it, therefore, possible to use a pure sequence-based analysis to identify these dynamical domains? To address this question, we introduce here a general coevolutionary coupling analysis strategy and apply it to a curated sequence database of hundreds of protein families. For most families, the sequence-based method partitions amino acids into a few clusters. When viewed in the context of the native structure, these clusters have the signature characteristics of viable protein domains: They are spatially separated but individually compact. They have a direct functional bearing too, as shown for various reference cases. We conclude that even large-scale structural and functionally related properties can be recovered from inference methods applied to evolutionary-related sequences. The method introduced here is available as a software package and web server (spectrus.sissa.it/spectrus-evo_webserver).
Keyphrases
  • amino acid
  • protein protein
  • binding protein
  • high resolution
  • small molecule
  • dna methylation
  • mass spectrometry
  • data analysis
  • low cost