[Dengue virus: viral targets and antiviral drugs]. / Le virus de la dengue : cibles virales et antiviraux.

This work reviews the opportunities and scientific bases in the development of anti-dengue drugs. The timeliness of anti-dengue drug development is addressed in the context of the growing impact of dengueworldwide and existing strategies to fight the virus. The antiviral approach in therapy or prophylaxis during an epidemic as well as the impact of recent technological advances in drug-discovery and antiviral chemotherapy on the development of anti-dengue drugs are discussed. An analysis of current sources of synthetic or natural drugs is provided. Finally, we summarize the current knowledge on dengue virus proteins, which are currently considered the most viable as drug targets, as the envelop protein E and non-structural proteins NS3 and NS5 carrying protease, helicase, RNA triphosphatase, methyltransferase and RNA-dependent RNA polymerase activities. Other viral proteins proposed to be part of the replication complex and the complex itself are considered as potential targets of anti-dengue drugs. State-of-the-art methods are listed, that are expected to allow the discovery, design, and characterisation of anti-dengue drugs effective against the four serotypes.

Understanding the alphaviruses: recent research on important emerging pathogens and progress towards their control.

The alphaviruses were amongst the first arboviruses to be isolated, characterized and assigned a taxonomic status. They are globally very widespread, infecting a large variety of terrestrial animals, insects and even fish, and circulate both in the sylvatic and urban/peri-urban environment, causing considerable human morbidity and mortality. Nevertheless, despite their obvious importance as pathogens, there are currently no effective antiviral drugs with which to treat humans or animals infected by any of these viruses. The EU-supported project-VIZIER (Comparative Structural Genomics of Viral Enzymes Involved in Replication, FP6 PROJECT: 2004-511960) was instigated with an ultimate view of contributing to the development of antiviral therapies for RNA viruses, including the alphaviruses [Coutard, B., Gorbalenya, A.E., Snijder, E.J., Leontovich, A.M., Poupon, A., De Lamballerie, X., Charrel, R., Gould, E.A., Gunther, S., Norder, H., Klempa, B., Bourhy, H., Rohayemj, J., L'hermite, E., Nordlund, P., Stuart, D.I., Owens, R.J., Grimes, J.M., Tuckerm, P.A., Bolognesi, M., Mattevi, A., Coll, M., Jones, T.A., Aqvist, J., Unger, T., Hilgenfeld, R., Bricogne, G., Neyts, J., La Colla, P., Puerstinger, G., Gonzalez, J.P., Leroy, E., Cambillau, C., Romette, J.L., Canard, B., 2008. The VIZIER project: preparedness against pathogenic RNA viruses. Antiviral Res. 78, 37-46]. This review highlights some of the major features of alphaviruses that have been investigated during recent years. After describing their classification, epidemiology and evolutionary history and the expanding geographic distribution of Chikungunya virus, we review progress in understanding the structure and function of alphavirus replicative enzymes achieved under the VIZIER programme and the development of new disease control strategies.

SPINE bioinformatics and data-management aspects of high-throughput structural biology.

SPINE (Structural Proteomics In Europe) was established in 2002 as an integrated research project to develop new methods and technologies for high-throughput structural biology. Development areas were broken down into workpackages and this article gives an overview of ongoing activity in the bioinformatics workpackage. Developments cover target selection, target registration, wet and dry laboratory data management and structure annotation as they pertain to high-throughput studies. Some individual projects and developments are discussed in detail, while those that are covered elsewhere in this issue are treated more briefly. In particular, this overview focuses on the infrastructure of the software that allows the experimentalist to move projects through different areas that are crucial to high-throughput studies, leading to the collation of large data sets which are managed and eventually archived and/or deposited.