PI2PE: protein interface/interior prediction engine.

Abstract:

:The side chains of the 20 types of amino acids, owing to a large extent to their different physical properties, have characteristic distributions in interior/surface regions of individual proteins and in interface/non-interface portions of protein surfaces that bind proteins or nucleic acids. These distributions have important structural and functional implications. We have developed accurate methods for predicting the solvent accessibility of amino acids from a protein sequence and for predicting interface residues from the structure of a protein-binding or DNA-binding protein. The methods are called WESA, cons-PPISP and DISPLAR, respectively. The web servers of these methods are now available at http://pipe.scs.fsu.edu. To illustrate the utility of these web servers, cons-PPISP and DISPLAR predictions are used to construct a structural model for a multicomponent protein-DNA complex.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Tjong H,Qin S,Zhou HX

doi

10.1093/nar/gkm231

subject

Has Abstract

pub_date

2007-07-01 00:00:00

pages

W357-62

issue

Web Server issue

eissn

0305-1048

issn

1362-4962

pii

gkm231

journal_volume

35

pub_type

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