Title :
Protein sequence alignment of target for entanyl analgesics μ-opioid receptor and its analysis
Author :
Liu, Ming ; Wan, Ping ; Hu, Wen-Xiang
Author_Institution :
Capital Normal University, Beijing 100048, China
Abstract :
Fentanyl is potential analgesics and highly selective μ-opioid receptor(OPRM) agonist protein sequences of OPRM_HUMAN, OPRM_RAT, OPRM_MOUSE was respectively obtained using NCBI GenBank, their similarity were analyzed with Clustal X softwares. The results showed that there was a higher degree of sequence similarity among them, they had higher homology and were highly conserved in evolution. There was not a much higher degree of sequence similarity between various OPRM and BRHO, not arriving at 30%; it needs intense adjustment to improve the modeling reliability. For the molecular, cell and pharmacological experiments, the alignment analysis might have certain theoretical guidance meaning and practical reference value. The aim of the project was to direct design and synthesis more effective fentanyl analogs as anti-terrorism compounds, to elucidate the interaction mechanism between fentanyl analogs and μ-opioid receptor.
Keywords :
Amino acids; Drugs; Humans; Mice; Proteins; Silicon compounds; Web sites; μ-Opioid receptor; Bioinformatics; Fentanyl; Homology; Sequence alignment;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5689963