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

:: 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.

RING v2.0.1 – Web Server for high quality Residue Interaction Networks

RING v2.0.1

:: DESCRIPTION

The RING (Residue Interaction Network Generator) identifies all types of non-covalent interactions at atomic level in a protein structure (PDB).

::DEVELOPER

The BioComputing UP lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux
C++ Compiler

:: DOWNLOAD

RING

:: MORE INFORMATION

Citation

The RING 2.0 web server for high quality residue interaction networks.
Piovesan D, Minervini G, Tosatto SC.
Nucleic Acids Res. 2016 May 19. pii: gkw315