Skip Navigation

This Article
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow FREE Full Text (Screen PDF)
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (16)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Krishnamoorthy, B.
Right arrow Articles by Tropsha, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Krishnamoorthy, B.
Right arrow Articles by Tropsha, A.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Bioinformatics Vol. 19 no. 12 2003
Pages 1540-1548
© 2003 Oxford University Press

Development of a four-body statistical pseudo-potential to discriminate native from non-native protein conformations

Bala Krishnamoorthy 1 and Alexander Tropsha 2,*

1 Department of Operations Research, CB 3180, UNC Chapel Hill, NC 27599, USA
2 Laboratory for Molecular Modeling, School of Pharmacy, UNC Chapel Hill, NC 27599, USA

Received on September 28, 2002 ; revised on November 26, 2002 ; accepted on February 20, 2003

Motivation: Most scoring functions used in protein fold recognition employ two-body (pseudo) potential energies. The use of higher-order terms may improve the performance of current algorithms.

Methods: Proteins are represented by the side chain centroids of amino acids. Delaunay tessellation of this representation defines all sets of nearest neighbor quadruplets of amino acids. Four-body contact scoring function (log likelihoods of residue quadruplet compositions) is derived by the analysis of a diverse set of proteins with known structures. A test protein is characterized by the total score calculated as the sum of the individual log likelihoods of composing amino acid quadruplets.

Results: The scoring function distinguishes native from partially unfolded or deliberately misfolded structures. It also discriminates between pre- and post-transition state and native structures in the folding simulations trajectory of Chymotrypsin Inhibitor 2 (CI2).

Availability: All codes are written in C/C++. Programs are available from the authors on request..

Contact: alex_tropsha{at}unc.edu

* To whom correspondence should be addressed.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
BioinformaticsHome page
J. Handl, J. Knowles, and S. C. Lovell
Artefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction
Bioinformatics, May 15, 2009; 25(10): 1271 - 1279.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
C. Deutsch and B. Krishnamoorthy
Four-Body Scoring Function for Mutagenesis
Bioinformatics, November 15, 2007; 23(22): 3009 - 3015.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.