Structural genomics reveals EVE as a new ASCH/PUA-related domain

Claudia Bertonati, Marco Punta, Markus Fischer, Guy Yachdav, Farhad Forouhar, Weihong Zhou, Alexander P. Kuzin, Jayaraman Seetharaman, Mariam Abashidze, Theresa A. Ramelot, Michael A. Kennedy, John R. Cort, Adam Belachew, John F. Hunt, Liang Tong, Gaetano T. Montelione, Burkhard Rost

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

We report on several proteins recently solved by structural genomics consortia, in particular by the Northeast Structural Genomics consortium (NESG). The proteins considered in this study differ substantially in their sequences but they share a similar structural core, characterized by a pseudobarrel five-stranded beta sheet. This core corresponds to the PUA domain-like architecture in the SCOP database. By connecting sequence information with structural knowledge, we characterize a new subgroup of these proteins that we propose to be distinctly different from previously described PUA domain-like domains such as PUA proper or ASCH. We refer to these newly defined domains as EVE. Although EVE may have retained the ability of PUA domains to bind RNA, the available experimental and computational data suggests that both the details of its molecular function and its cellular function differ from those of other PUA domain-like domains. This study of EVE and its relatives illustrates how the combination of structure and genomics creates new insights by connecting a cornucopia of structures that map to the same evolutionary potential. Primary sequence information alone would have not been sufficient to reveal these evolutionary links.

Original languageEnglish (US)
Pages (from-to)760-773
Number of pages14
JournalProteins: Structure, Function and Bioinformatics
Volume75
Issue number3
DOIs
StatePublished - May 15 2009

All Science Journal Classification (ASJC) codes

  • Structural Biology
  • Biochemistry
  • Molecular Biology

Keywords

  • NMR
  • Protein function prediction
  • Pua domain-like domains
  • Structural genomics
  • X-ray crystallography

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