Computational design of antiviral RNA interference strategies that resist human immunodeficiency virus escape.
Ontology highlight
ABSTRACT: Recently developed antiviral strategies based upon RNA interference (RNAi), which harnesses an innate cellular system for the targeted down-regulation of gene expression, appear highly promising and offer alternative approaches to conventional highly active antiretroviral therapy or efforts to develop an AIDS vaccine. However, RNAi is faced with several challenges that must be overcome to fully realize its promise. Specifically, it degrades target RNA in a highly sequence-specific manner and is thus susceptible to viral mutational escape, and there are also challenges in delivery systems to induce RNAi. To aid in the development of anti-human immunodeficiency virus (anti-HIV) RNAi therapies, we have developed a novel stochastic computational model that simulates in molecular-level detail t
SUBMITTER: Leonard JN
PROVIDER: S-EPMC544124 | biostudies-literature | 2005 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA