In silico Identification to Potential Drug siRNA Using Statistical Methods in Helicobacter pylori
karbala journal of pharmaceutical sciences,
2014, Volume 5, Issue 8, Pages 26-37
AbstractHelicobacter pylori a causative influence risk of carcinogenesis which has developed resistance to drugs. The present study was carried out to identify potential drug targets in H. pylori by design of potent siRNA. To reach the goal, the collection essential gene for H. pylori and host from DEG, then a variety of bioinformatics databases studying Blastp Database of essential genes, Blastp from NCBI and KEGG, for selection non-homologous genes, then the software OligoWalk to design siRNA. The study concluded to get seven (7) essential membrane protein of H. pylori to become drug target, then subjected to find siRNA which are shorter than 21 nt about 2423 siRNA, 110 siRNA (Effective siRNA rules), 56 siRNA (ratio GC (35%-60%)), 50 siRNA (Desired position), 30 siRNA (Probability range between (0.70-0.91)), 20 siRNA (Secondary structures), 8 siRNA (Drug target), this steps respectively. Conclusion: Eight (8) siRNA which could use as potential drug target for resistant of Helicobacter pylori 26695.
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