Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

SuperPain

General information

URL: http://bioinformatics.charite.de/superpain/
Full name:
Description: SuperPain is a database for pain stimulating and pain relieving compounds, which bind or potentially bind to ion channels, consists of about 8,700 ligands, which are characterized by experimentally measured binding affinities
Year founded: 2014
Last update: 2014-01-01
Version: v1.0
Accessibility:
Accessible
Country/Region: Germany

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Charité University Medicine Berlin
Address: Lindenberger Weg 80,13125 Berlin,Germany
City: Berlin
Province/State:
Country/Region: Germany
Contact name (PI/Team): Saskia Preissner
Contact email (PI/Helpdesk): saskia.preissner@charite.de

Publications

24271391
SuperPain--a resource on pain-relieving compounds targeting ion channels. [PMID: 24271391]
Gohlke BO, Preissner R, Preissner S.

Pain is more than an unpleasant sensory experience associated with actual or potential tissue damage: it is the most common reason for physician consultation and often dramatically affects quality of life. The management of pain is often difficult and new targets are required for more effective and specific treatment. SuperPain (http://bioinformatics.charite.de/superpain/) is freely available database for pain-stimulating and pain-relieving compounds, which bind or potentially bind to ion channels that are involved in the transmission of pain signals to the central nervous system, such as TRPV1, TRPM8, TRPA1, TREK1, TRESK, hERG, ASIC, P2X and voltage-gated sodium channels. The database consists of ?8700 ligands, which are characterized by experimentally measured binding affinities. Additionally, 100 000 putative ligands are included. Moreover, the database provides 3D structures of receptors and predicted ligand-binding poses. These binding poses and a structural classification scheme provide hints for the design of new analgesic compounds. A user-friendly graphical interface allows similarity searching, visualization of ligands docked into the receptor, etc.

Nucleic Acids Res. 2014:42(Database issue) | 5 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6211/6895 (9.935%)
Health and medicine:
1580/1738 (9.148%)
6211
Total Rank
5
Citations
0.455
z-index

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Record metadata

Created on: 2015-06-20
Curated by:
Lina Ma [2016-04-13]
Lin Xia [2016-04-11]
Lin Xia [2016-03-28]
Lin Xia [2015-06-26]