MetalionRNA – Metal Ion Binding Site Predictor

MetalionRNA

:: DESCRIPTION

MetalionRNA is a novel bioinformatic method for predicting metal-binding sites in RNA structures.

::DEVELOPER

Bujnicki lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Computational methods for prediction of RNA interactions with metal ions and small organic ligands.
Philips A, Łach G, Bujnicki JM.
Methods Enzymol. 2015;553:261-85. doi: 10.1016/bs.mie.2014.10.057.

MetalloPred – Hierarchical Prediction of Metal Ion Binding proteins

MetalloPred

:: DESCRIPTION

MetalloPred is developed which consists of 3 level of hierarchical classification using cascade of neural networks from sequence derived features. The 1st layer of the prediction engine is for identifying a query protein as metalloprotein or not; the 2nd layer for the main functional class; and the 3rd layer for the sub-functional class.

::DEVELOPER

MetalloPred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux /MacOsX
  • Java
  • EMBOSS 
  • Perl

:: DOWNLOAD

 MetalloPred

:: MORE INFORMATION

Citation

Pradeep K. Naik, Piyush Ranjan, Pooja Kesari and Sankalp Jain (2011).
MetalloPred: A tool for hierarchical prediction of metal ion binding proteins using cluster of neural networks and sequence derived features.
Journal of Biophysical Chemistry, 2(2): 112-123.