P.R.E.S.S. - An R-package for exploring residual-level protein structural statistics

نویسندگان

  • Yuanyuan Huang
  • Steve Bonett
  • Andrzej Kloczkowski
  • Robert L. Jernigan
  • Zhijun Wu
چکیده

P.R.E.S.S. is an R-package developed to allow researchers to get access to and manipulate a large set of statistical data on protein residue-level structural properties such as residue-level virtual bond lengths, virtual bond angles, and virtual torsion angles. A large set of high-resolution protein structures is downloaded and surveyed. Their residue-level structural properties are calculated and documented. The statistical distributions and correlations of these properties can be queried and displayed. Tools are also provided for modeling and analyzing a given structure in terms of its residue-level structural properties. In particular, new tools for computing residue-level statistical potentials and displaying residue-level Ramachandran-like plots are developed for structural analysis and refinement. P.R.E.S.S. has been released in R as an open source software package, with a user-friendly GUI, accessible and executable by a public user in any R environment. P.R.E.S.S. can also be downloaded directly at http://www.math.iastate.edu/press/.

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عنوان ژورنال:
  • Journal of bioinformatics and computational biology

دوره 10 3  شماره 

صفحات  -

تاریخ انتشار 2011