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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.
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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
Participating organisations
Contributors
Contact person
Stefan Verhoeven
Netherlands eScience Center
Related projects
3D-e-Chem
Efficient exploitation of the massive amount of modern-day life science data
Updated 3 weeks ago
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