In this database, one may find: the nucleic and proteic sequences of the subunits; multiple sequence alignments can be generated, and some phylogenetic studies of the superfamilies are provided. Additionally, the atomic coordinates of subunits, or portion of subunits, are provided when available. In the LGIC Database redundancy is kept to a minimum, i.e. one entry per gene. Each entry in the database has been manually constructed and checked by a researcher of the field in order to reduce the inaccuracies to a minimum.

There are three different superfamilies of extracellularly activated ligand-gated ion channel subunits:

• The receptors of the cys-loop superfamily (nicotinic receptors, 5-HT3 receptors, GABAA and GABAC receptors, glycine receptors, and some glutamate, histamine and serotonin activated anionic channels) are made of five homologous subunits, each with four transmembrane segments.

• The ATP gated channels (ATP2x receptors) are made of three homologous subunits, each with two transmembrane segments.

• The glutamate activated cationic channels (NMDA receptors, AMPA receptors, kainate receptors etc...) are made of four homologous subunits, each with three transmembrane segments.

Due to the lack of evolutionary relationship, these three superfamilies are treated separately.

The Ligand Gated Ion Channel Database currently contains 554 entries of ligand-activated ion channel subunits.

Contents

• Cys-loop receptor superfamily (5-HT3 and 5-HTmod1 receptors, nicotinic acetylcholine receptors, glycine receptors, GABAA and GABAC receptors, anionic glutamate receptors and histamine-gated receptors).

• ATP gated channel superfamily (P2x).

• Glutamate cationic receptor superfamily (AMPA receptors, kainate receptors, NMDA receptors, etc.).

Search the LGIC Database with FASTA or by keywords.

Download the snapshot 60 of the whole database (6 June 2007)

This database is not actively maintained anymore. People should not consider it as an up-to-date trustable resource. For any new work, they should consider using alternative sources, such as UniProt, Ensembl, Protein Databank etc.
rot, Ensembl, Protein Databank etc.