4.6 Article

Identification of a Novel Class of Farnesylation Targets by Structure-Based Modeling of Binding Specificity

Journal

PLOS COMPUTATIONAL BIOLOGY
Volume 7, Issue 10, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pcbi.1002170

Keywords

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Funding

  1. Israel Science Foundation
  2. Israel Academy of Science and Humanities [306/6]
  3. USA-Israel Binational Science Foundation [2009418]
  4. National Institutes of Health [GM40602]
  5. NIH [GM78894]
  6. Converging Technologies Scholarship
  7. Planning and Budgeting Committee of the Israeli Council for higher education
  8. Direct For Mathematical & Physical Scien
  9. Division Of Mathematical Sciences [2009418] Funding Source: National Science Foundation

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Farnesylation is an important post-translational modification catalyzed by farnesyltransferase (FTase). Until recently it was believed that a C-terminal CaaX motif is required for farnesylation, but recent experiments have revealed larger substrate diversity. In this study, we propose a general structural modeling scheme to account for peptide binding specificity and recapitulate the experimentally derived selectivity profile of FTase in vitro. In addition to highly accurate recovery of known FTase targets, we also identify a range of novel potential targets in the human genome, including a new substrate class with an acidic C-terminal residue (CxxD/E). In vitro experiments verified farnesylation of 26/29 tested peptides, including both novel human targets, as well as peptides predicted to tightly bind FTase. This study extends the putative range of biological farnesylation substrates. Moreover, it suggests that the ability of a peptide to bind FTase is a main determinant for the farnesylation reaction. Finally, simple adaptation of our approach can contribute to more accurate and complete elucidation of peptide-mediated interactions and modifications in the cell.

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