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Nucleic Acids Research Advance Access published online on May 6, 2009
Nucleic Acids Research, doi:10.1093/nar/gkp305
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© 2009 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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NNcon: improved protein contact map prediction using 2D-recursive neural networks

Allison N. Tegge, Zheng Wang, Jesse Eickholt and Jianlin Cheng*

Computer Science Department, Informatics Institute, University of Missouri, Columbia, MO 65213, USA

*To whom correspondence should be addressed. Tel: 573-882-7306; Fax: 573-882-8318; Email: chengji{at}missouri.edu

Received January 30, 2009. Revised April 13, 2009. Accepted April 16, 2009.

Protein contact map prediction is useful for protein folding rate prediction, model selection and 3D structure prediction. Here we describe NNcon, a fast and reliable contact map prediction server and software. NNcon was ranked among the most accurate residue contact predictors in the Eighth Critical Assessment of Techniques for Protein Structure Prediction (CASP8), 2008. Both NNcon server and software are available at http://casp.rnet.missouri.edu/nncon.html.

The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.


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