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

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

Research output: Contribution to journalArticlepeer-review

109 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)W515-W518
JournalNucleic acids research
Volume37
Issue numberSUPPL. 2
DOIs
StatePublished - 2009
Externally publishedYes

ASJC Scopus subject areas

  • Genetics

Fingerprint

Dive into the research topics of 'NNcon: Improved protein contact map prediction using 2D-recursive neural networks'. Together they form a unique fingerprint.

Cite this