DocumentCode :
2675000
Title :
Comparative modeling studies of rat amiloride-sensitive cation channel 1, neuronal isoform b
Author :
Noureen, Nighat ; Bano, Raisa ; Rashid, Hamid
Author_Institution :
Dept. of Bioinf., Mohammad Ali Jinnah Univ., Islamabad, Pakistan
fYear :
2009
fDate :
19-20 Oct. 2009
Firstpage :
162
Lastpage :
167
Abstract :
Acid-sensing ion channels (ASICs) of the epithelial sodium channel/degenerin (ENaC/DEG) gene family are protongated cation channels. ASICs have two transmembrane segments which are hydrophobic. Various proton-gated ion channels suggest that, ASIC and MDEG probably seems to be the first two members of this family and the genes for the new channels remain to be discovered. The presence of a large extracellular domain between two transmembrane alpha-helices and the short NH2 and COOH terminal cytoplasmic segments, characterizes these proteins. In order to relate the three-dimensional (3D) structure to their physiological function, channel proteins have been the focus of various computational approaches. On the basis of available X-ray structures, structural models of channels may be constructed by homology modeling. Here we present 3D structure of rat Amiloride-sensitive cation channel 1, neuronal isoform B through comparative modeling studies. Our studies will be useful in understanding the biochemical functions and interaction properties in detail.
Keywords :
biochemistry; bioelectric phenomena; biomembranes; cellular biophysics; molecular biophysics; neurophysiology; proteins; COOH terminal cytoplasmic segment; NH2 terminal cytoplasmic segment; X-ray structures; acid-sensing ion channels; biochemical functions; channel proteins; comparative modeling; extracellular domain; homology modeling; interaction property; neuronal isoform b; physiological function; rat amiloride-sensitive cation channel 1; structural models; three-dimensional structure; transmembrane alpha-helices; Application specific integrated circuits; Bioinformatics; Colon; Extracellular; Humans; Lungs; Nervous system; Predictive models; Proteins; Sequences; 3D-structure; ASIC; FASTA format; X-ray; alpha helices; beta strands; homology modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies, 2009. ICET 2009. International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4244-5630-7
Electronic_ISBN :
978-1-4244-5631-4
Type :
conf
DOI :
10.1109/ICET.2009.5353181
Filename :
5353181
Link To Document :
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