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Nucleic Acids Res. 2014 Jan;42(Database issue):D1107-12. doi: 10.1093/nar/gkt1176. Epub 2013 Nov 22.

SuperPain--a resource on pain-relieving compounds targeting ion channels.

Author information

1
German Cancer Consortium (DKTK), Lindenberger Weg 80, 13125 Berlin, Germany, Charité - Universitätsmedizin Berlin, Structural Bioinformatics Group, Lindenberger Weg 80, 13125 Berlin, Germany and Dental, Oral and Maxillary Medicine, Charité - Universitätsmedizin Berlin, CC3, Assmannshauser Straße 4-6, 14197 Berlin, Germany.

Abstract

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.

PMID:
24271391
PMCID:
PMC3964982
DOI:
10.1093/nar/gkt1176
[Indexed for MEDLINE]
Free PMC Article

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