Pi2pe: Protein Interface/Interior Prediction Engine.
From: Institute of Molecular Biophysics and School of Computational Science and Department of Physics, Florida State University, Tallahassee, FL 32306, USA.
Nucleic acids research
- Publish Date: Jul 2007
- ISSN: 1362-4962
- Volume: 35
- Issue: Web Server issue
- Pages: W357-62
- Medium: Internet
- Language: English
- Citation (JAMA): Tjong Harianto, Qin Sanbo, Zhou Huan-Xiang, et al. Pi2pe: Protein Interface/Interior Prediction Engine.. Nucleic Acids Res. Jul 2007;35:W357-62
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.
Mesh Headings (Keywords): Animals, Binding Sites, Computational Biology, Computer Simulation, DNA, Internet, Membrane Proteins, Models, Molecular, Molecular Conformation, Protein Binding, Protein Structure, Quaternary, Proteins, Software
Check for Full Text / PubMed Unique Identifier (PMID): 17526530
This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.
Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.
The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.