Category:SEA: Difference between revisions
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== Other topics == | == Other topics == | ||
==Notes== | |||
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 support+sea*bkslab*org. | |||
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. | |||
* [[Install SEA]] | * [[Install SEA]] | ||
Revision as of 22:55, 3 January 2019
| Paragigm | Docking |
|---|---|
| Developer | Shoichet Lab |
| Stable Version | SEA |
| Programming Language | TBD |
| Dependencies | TBD |
SEA, the Similarity Ensemble Approach. The website is: sea.bkslab.org
About
SEA 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. It is provided by the Shoichet Laboratory in the Department of Pharmaceutical Chemistry at the University of California, San Francisco (UCSF).
Citing SEA
To cite SEA, please reference 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).[1]
Publications
Using the SEA website
Obtaining a private copy of SEA
Please contact support(at)sea*bkslab*org
Other topics
Notes
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 support+sea*bkslab*org.
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.
References
Pages in category "SEA"
The following 9 pages are in this category, out of 9 total.