The DOI matches its Crossref record; 264 of the 264 references it cites were found in a registry or an index.
RNAi-based drug design: considerations and future directions
Open accessAbstract
More than 25 years after its discovery, the post-transcriptional gene regulation mechanism termed RNAi is now transforming pharmaceutical development, proved by the recent FDA approval of multiple small interfering RNA (siRNA) drugs that target the liver. Synthetic siRNAs that trigger RNAi have the potential to specifically silence virtually any therapeutic target with unprecedented potency and durability. Bringing this innovative class of medicines to patients, however, has been riddled with substantial challenges, with delivery issues at the forefront. Several classes of siRNA drug are under clinical evaluation, but their utility in treating extrahepatic diseases remains limited, demanding continued innovation. In this Review, we discuss principal considerations and future directions in the design of therapeutic siRNAs, with a particular emphasis on chemistry, the application of informatics, delivery strategies and the importance of careful target selection, which together influence therapeutic success. Since the groundbreaking discovery of RNAi more than 25 years ago, several small interfering RNA (siRNA)-based therapies that target the liver have gained approval. This Review discusses principal considerations in siRNA-based drug development, focusing on the medicinal chemistry of siRNA design, the application of informatics, delivery platforms and future directions.
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Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans
Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature · doi:10.1038/35888 · Cited by 15,429
Duplexes of 21-nucleotide RNAs mediate RNA interference in cultured mammalian cells
Elbashir, S. M., Harborth, J., Lendeckel, W., Yalcin, A., Weber, K., & Tuschl, T. (2001) · Nature · doi:10.1038/35078107 · Cited by 9,456
MACDONALD, M. (1993) · Cell · doi:10.1016/0092-8674(93)90585-e · Cited by 8,366
Gene regulation by long non-coding RNAs and its biological functions
Statello, L., Guo, C.-J., Chen, L.-L., & Huarte, M. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00315-9 · Cited by 4,991
Role for a bidentate ribonuclease in the initiation step of RNA interference
Bernstein, E., Caudy, A. A., Hammond, S. M., & Hannon, G. J. (2001) · Nature · doi:10.1038/35053110 · Cited by 4,892
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949
Hannon, G. J. (2002) · Nature · doi:10.1038/418244a · Cited by 3,538
Ischemia and reperfusion—from mechanism to translation
Eltzschig, H. K., & Eckle, T. (2011) · Nature Medicine · doi:10.1038/nm.2507 · Cited by 3,382
Cited by
Song, Y., Li, J., & Wu, Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01952-8 · Cited by 259
Metadata
- Authors
- Tang, Q., & Khvorova, A.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2024-04-03
- Volume
- 23
- Issue
- 5
- Pages
- 341-364
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- OpenAlex
- W4393869156
- Cited by
- 282
- References
- 264
- FWCI
- 12.06
- Type
- journal article
- Language
- en
- Open access
- green
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