Campus Units

Biochemistry, Biophysics and Molecular Biology, Roy J. Carver Department of, Mathematics, Bioinformatics and Computational Biology

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

6-2012

Journal or Book Title

Journal of Bioinformatics and Computational Biology

Volume

10

Issue

3

First Page

1242007

DOI

10.1142/S0219720012420073

Abstract

P.R.E.S.S. is an R package developed to allow researchers to get access to and manipulate on 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 are 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. will be 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.

Comments

This is a manuscript of an Electronic version of an article published as Journal of Bioinformatics and Computational Biology 10, no. 03 (2012): 1242007, DOI: 10.1142/S0219720012420073. © copyright World Scientific Publishing Company, http://www.worldscientific.com/worldscinet/jbcb.

Copyright Owner

World Scientific Publishing Company

Language

en

File Format

application/pdf