PubMed 24271391

Referenced in: none

Automatically associated channels: Kv11.1 , TREK1 , TRESK2 , TRP , TRPA , TRPA1 , TRPM , TRPM8 , TRPV , TRPV1

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

Authors: Björn O Gohlke, Robert Preissner, Saskia Preissner

Journal, date & volume: Nucleic Acids Res., 2014 Jan 1 , 42, D1107-12

PubMed link: http://www.ncbi.nlm.nih.gov/pubmed/24271391

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.