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.

45 commits | Last update: June 26, 2019

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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
  • Workflow technologies
Programming Language
  • Java
  • Apache-2.0
Source code

Participating organizations


  • Stefan Verhoeven
    Netherlands eScience Center
Contact person
Stefan Verhoeven
Netherlands eScience Center

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