title: Mechanistic insights aid computational short interfering RNA design.
abstract: RNA interference is widely recognized for its utility as a functional genomics tool. In the absence of reliable target site selection tools, however, the impact of RNA interference (RNAi) may be diminished. The primary determinants of silencing are influenced by highly coordinated RNA-protein interactions that occur throughout the RNAi process, including short interfering RNA (siRNA) binding and unwinding followed by target recognition, cleavage, and subsequent product release. Recently developed strategies for identification of functional siRNAs reveal that thermodynamic and siRNA sequence-specific properties are crucial to predict functional duplexes (Khvorova et al., 2003; Reynolds et al., 2004; Schwarz et al., 2003). Additional assessments of siRNA specificity reveal that more sophisticated sequence comparison tools are also required to minimize potential off-target effects (Jackson et al., 2003; Semizarov et al., 2003). This chapter reviews the biological basis for current computational design tools and how best to utilize and assess their predictive capabilities for selecting functional and specific siRNAs.
authors.affiliation: Dharmacon, Inc., Lafayette, CO 80026, USA.
authors.forename: Queta
authors.initials: Q
authors.lastname: Boese
authors.forename: Devin
authors.initials: D
authors.lastname: Leake
authors.forename: Angela
authors.initials: A
authors.lastname: Reynolds
authors.forename: Steven
authors.initials: S
authors.lastname: Read
authors.forename: Stephen A
authors.initials: SA
authors.lastname: Scaringe
authors.forename: William S
authors.initials: WS
authors.lastname: Marshall
authors.forename: Anastasia
authors.initials: A
authors.lastname: Khvorova
mesh_terms: D000465:Algorithms; D000818:Animals; D001483:Base Sequence; D002460:Cell Line; D006801:Humans; D035683:MicroRNAs / Q000235:genetics; D008969:Molecular Sequence Data; D034622:RNA Interference; D013816:Thermodynamics
chemical_list: D035683:MicroRNAs