Similarity ensemble approach (SEA)
The Similarity ensemble approach relates proteins based on the set-wise chemical similarity among their ligands. It can be used to rapidly search large compound databases and to build cross-target similarity maps.
How to use SEAYou can try SEA yourself via the online SEA search tool.
SEA is a collaborative project provided by the
Keiser Laboratory in the
Institute for Neutrodegenerative Diseases
Shoichet laboratories in the
Department of Pharmaceutical Chemistry at the
University of California, San Francisco (UCSF).
Caveat Emptor! SEA is provided free-of-charge in the hope that it will be useful, but you must use it at your own risk. We make no guarantees about data confidentiality on this public service website. If you would like to use SEA securely, please contact John Irwin at chemistry4biology at gmail.com.
How to cite SEA
If you use SEA results in your publications, please cite the following:
The following SEA results were referenced in this paper: