Modeling large regions in proteins: Applications to loops, termini, and folding

Aashish N. Adhikari, Jian Peng, Michael Wilde, Jinbo Xu, Karl F. Freed, Tobin R. Sosnick

Research output: Contribution to journalArticlepeer-review

Abstract

Template-based methods for predicting protein structure provide models for a significant portion of the protein but often contain insertions or chain ends (InsEnds) of indeterminate conformation. The local structure prediction "problem" entails modeling the InsEnds onto the rest of the protein. A well-known limit involves predicting loops of ≤12 residues in crystal structures. However, InsEnds may contain as many as ∼50 amino acids, and the template-based model of the protein itself may be imperfect. To address these challenges, we present a free modeling method for predicting the local structure of loops and large InsEnds in both crystal structures and templatebased models. The approach uses single amino acid torsional angle "pivot" moves of the protein backbone with a Cβ level representation. Nevertheless, our accuracy for loops is comparable to existing methods. We also apply a more stringent test, the blind structure prediction and refinement categories of the CASP9 tournament, where we improve the quality of several homology based models by modeling InsEnds as long as 45 amino acids, sizes generally inaccessible to existing loop prediction methods. Our approach ranks as one of the best in the CASP9 refinement category that involves improving template-based models so that they can function as molecular replacement models to solve the phase problem for crystallographic structure determination. Published by Wiley-Blackwell.

Original languageEnglish (US)
Pages (from-to)107-121
Number of pages15
JournalProtein Science
Volume21
Issue number1
DOIs
StatePublished - Jan 2012
Externally publishedYes

Keywords

  • Insertions
  • Local protein structure prediction
  • Long loops
  • Loop modeling
  • Molecular replacement

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

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