Sign in
Ctrl K

KNIME ss-TEA node

A node for the KNIME workflow systems that allows you to identify which residue position in a big protein sequence alignment is specific to ligand binding.


Cite this software

What KNIME ss-TEA node can do for you

  • For bioinformaticians or cheminformaticians who have no 3D structure of their protein, just a protein sequence and want to know which position is likely to bind a ligand.
  • It takes a big multi species multiple sequence alignment and a list of subfamily members to produce a score for each position in the sequence alignment.
  • Can tell which residue in a protein is likely to bind a ligand without 3D information
  • Ranked among best model in the GPCR dock 2010 competition. ss-TEA is as part of Snooker pharmacophore generation tool
Programming language
  • Java 100%
</>Source code

Participating organisations

Netherlands eScience Center
Radboud University Nijmegen
Vrije Universiteit Amsterdam


Related projects


Efficient exploitation of the massive amount of modern-day life science data

Updated 15 months ago