HemeNet – Heme Binding Residue Prediction using Sequence, Structure, and Residue Interaction Network

HemeNet

:: DESCRIPTION

HemeNet, a support vector machine (SVM) based predictor, was developed to identify heme-binding residues by combining topological features with existing sequence and structural features.

::DEVELOPER

Machine Learning and Evolution Laboratory (MLEG)

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web Browser
:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

PLoS One. 2011;6(10):e25560. doi: 10.1371/journal.pone.0025560. Epub 2011 Oct 3.
Computational prediction of heme-binding residues by exploiting residue interaction network.
Liu R1, Hu J.