An algorithm for selection of functional siRNA sequences.
By M. Amarzguioui, H. Prydz. Biochemical and Biophysical Research Communications - BBRC, 2004
413 citations recorded by the source corpus.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/6061333835b68d8f10feba011b640a4696bd6ea7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cancer Research
- Yukihide Tomari
- Phillip D. Zamore
- L. Aagaard
- John J. Rossi
- David P. Bartel
- Olivier Voinnet
- R. Pillai
In Molecular Biology
- John J. Rossi
- Yukihide Tomari
- Phillip D. Zamore
- L. Aagaard
- Sangdun Choi
- David P. Bartel
- Olivier Voinnet
- V. Narry Kim
Citations in the corpus
- Design of a genome-wide siRNA library using an artificial neural network (2005, background): “Finally, strong internal structures, an absence of G/C stretches and a prevalence of certain nucleotides at positions 4, 7, 9, 14 and at the 3′-end are also characteristic of active siRNA”
- Perspective: machines for RNAi. (2005, background): “…and we implore readers to explore these “design rules” before synthesizing siRNAs to reduce expression of a favorite gene (Khvorova et al. 2003; Amarzguioui and Prydz 2004; Hohjoh 2004; Naito et al. 2004; Reynolds et al. 2004; Ui-Tei et al. 2004; Yiu et al. 2005). siRNAs designed to load one…”
- RNAi therapeutics: principles, prospects and challenges. (2007, background): “include thermodynamic end stability [6], target mRNA accessibility [14], structural features [15] and additional position specific determinants [16,17].”
- Synthetic dsRNA Dicer substrates enhance RNAi potency and efficacy (2005, methodology): “, necessitating complex design algorithms to predict effective site”