NR-2L – A two-level predictor for Nuclear Receptor Subfamilies based on Sequence-derived Features

NR-2L

:: DESCRIPTION

NR-2L is a two-level predictor that can be used to identify a query protein sequence as nuclear receptor or not.

::DEVELOPER

Xiao Lab

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

PLoS One. 2011;6(8):e23505. doi: 10.1371/journal.pone.0023505. Epub 2011 Aug 15.
NR-2L: a two-level predictor for identifying nuclear receptor subfamilies based on sequence-derived features.
Wang P1, Xiao X, Chou KC.

iNR-PhysChem – Identifying Nuclear Receptors and their Subfamilies

iNR-PhysChem

:: DESCRIPTION

The web-server iNR-PhysChem is a two-level predictor. It can be used to identify an uncharacterized protein as nuclear receptor (NR) or non-NR according to its sequences information alone.

::DEVELOPER

Xiao Lab

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

PLoS One. 2012;7(2):e30869. doi: 10.1371/journal.pone.0030869. Epub 2012 Feb 21.
iNR-PhysChem: a sequence-based predictor for identifying nuclear receptors and their subfamilies via physical-chemical property matrix.
Xiao X1, Wang P, Chou KC.

NRpred – SVM based method for Prediction of Nuclear Receptors

NRpred

:: DESCRIPTION

NRpred is a SVM based tool for the classification of nuclear receptors on the basis of amino acid composition or dipeptide composition. The overall prediction accuracy of amino acid composition and dipeptide composition based methods is 82.6% and 97.2%

::DEVELOPER

NRpred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Bhasin,M. and Raghava, G.P.S. (2004)
Classification of nuclear receptors based on amino acid composition and dipeptide composition.
J Biol Chem. 279(22):23262-6