
The treatment of viral infections has relied on pre-emptive vaccination or use of a limited range of anti-viral drugs. However, the majority of viruses have no available drugs and treatment is merely supportive. RNA interference (RNAi) offers the ability to directly and rapidly treat virus infections via the targeting of viral genes. Indeed, clinical trials have already been undertaken with promising results. Here we review the current state of the RNAi field for the treatment of viral infections such as HIV, human papillomavirus and HCV. We also review novel strategies including the concept of targeting self-genes to limit viral infection and activating the immune system for improved outcomes. Finally we examine innovative approaches being pursued at the Australian Infectious Diseases Research Centre including the use of high-throughput siRNA screens to identify new antiviral targets.
HPV, 3002 Drug Discovery, Oncology and carcinogenesis not elsewhere classified, HIV, 1308 Clinical Biochemistry, Antiviral Agents, RNA interference, 3004 Pharmacology, Pharmacology and pharmaceutical sciences, Virus Diseases, 1313 Molecular Medicine, HCV, Screening, Humans, RNA Interference
HPV, 3002 Drug Discovery, Oncology and carcinogenesis not elsewhere classified, HIV, 1308 Clinical Biochemistry, Antiviral Agents, RNA interference, 3004 Pharmacology, Pharmacology and pharmaceutical sciences, Virus Diseases, 1313 Molecular Medicine, HCV, Screening, Humans, RNA Interference
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
