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 SEA

You can try SEA yourself via the online SEA search tool.

SEA is provided by the Shoichet Laboratory in the Department of Pharmaceutical Chemistry at the University of California, San Francisco (UCSF).

To determine whether SEA's predictions for your compounds are already known, we recommend you visit the extensive Ki Database at the NIMH Psychoactive Drug Screening Program.

How to cite SEA

If you use SEA results in your publications, please cite the following:

Keiser MJ, Roth BL, Armbruster BN, Ernsberger P, Irwin JJ, Shoichet BK. Relating protein pharmacology by ligand chemistry. Nat Biotech 25 (2), 197-206 (2007).
Pubmed | DOI | PDF

The following SEA results were referenced in this paper:

Database   Results
MDL Drug Data Report    Similarity map1
Similarity map2
Significance scores (raw data)

1 AT&T Graphviz.
2 Cytoscape, GML format.