Literature DB >> 16296951

Translating RNA interference into therapies for human disease.

Nagesh Mahanthappa1.   

Abstract

RNA interference (RNAi) represents one of the most promising new frontiers in drug discovery. Breakthroughs in understanding RNA's extensive natural role in essential cellular processes have opened up the potential for a whole new class of drugs based on RNAi. Harnessing the natural process of RNAi, short, double-stranded RNA molecules are able to inhibit expression of genes in a sequence-specific manner. By targeting disease-causing genes, RNAi drugs have the potential to be more selective than traditional drugs, and thus more effective as well as less toxic. Over the past few years, important strides have been made in translating the promise of RNAi into therapies for human disease. In contrast to the extensive lead optimization steps typically required in small-molecule and protein drug discovery, RNAi drug candidates can be identified using bioinformatics to select sequences complementary to the target mRNA. The process of selecting an RNAi-based drug candidate may simply involve the synthesis and testing of a relatively small number of short double strands (duplexes) of RNA, incorporating chemical modifications that confer stability and direct these RNA duplexes to the appropriate tissues and cells, and/or formulating these RNA duplexes with appropriate delivery agents to achieve the same goals. As advances in RNAi therapeutics continue, the decades to come should bring a potent new class of drugs based on RNAi.

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Year:  2005        PMID: 16296951     DOI: 10.2217/14622416.6.8.879

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  6 in total

1.  GUItars: a GUI tool for analysis of high-throughput RNA interference screening data.

Authors:  Asli N Goktug; Su Sien Ong; Taosheng Chen
Journal:  PLoS One       Date:  2012-11-20       Impact factor: 3.240

2.  RNA interference: a promising approach for the treatment of viral hepatitis.

Authors:  Mahsa Motavaf; Seyed Moayed Alavian
Journal:  Hepat Mon       Date:  2012-01-20       Impact factor: 0.660

Review 3.  Bioinformatics and Drug Discovery.

Authors:  Xuhua Xia
Journal:  Curr Top Med Chem       Date:  2017       Impact factor: 3.295

4.  Lung delivery studies using siRNA conjugated to TAT(48-60) and penetratin reveal peptide induced reduction in gene expression and induction of innate immunity.

Authors:  Sterghios Athanasios Moschos; Simon Wyn Jones; Mark Michael Perry; Andrew Evan Williams; Jonas Sten Erjefalt; John James Turner; Peter John Barnes; Brian Stephen Sproat; Michael John Gait; Mark Andrew Lindsay
Journal:  Bioconjug Chem       Date:  2007-08-21       Impact factor: 4.774

5.  In silico target-specific siRNA design based on domain transfer in heterogeneous data.

Authors:  Qi Liu; Han Zhou; Kui Zhang; Xiaoxiao Shi; Wei Fan; Ruixin Zhu; Philip S Yu; Zhiwei Cao
Journal:  PLoS One       Date:  2012-12-21       Impact factor: 3.240

6.  Inhibition of adhesion molecule expression on human venous endothelial cells by non-viral siRNA transfection.

Authors:  Tobias Walker; Hans P Wendel; Liane Tetzloff; Claudia Raabe; Olaf Heidenreich; Perikles Simon; Albertus M Scheule; Gerhard Ziemer
Journal:  J Cell Mol Med       Date:  2007 Jan-Feb       Impact factor: 5.310

  6 in total

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