ViralORFeome: an integrated database to generate a versatile collection of viral ORFs

Pellet, J.; Tafforeau, L.; Lucas-Hourani, M.; Navratil, V.; Meyniel, L.; Achaz, G.; Guironnet-Paquet, A.; Aublin-Gex, A.; Caignard, G.; Cassonnet, P.; Chaboud, A.; Chantier, T.; Deloire, A.; Demeret, C.; Le Breton, M.; Neveu, G.; Jacotot, L.; Vaglio, P.; Delmotte, S.; Gautier, C.; Combet, C.; Deleage, G.; Favre, M.; Tangy, F.; Jacob, Y.; Andre, P.; Lotteau, V.; Rabourdin-Combe, C.; Vidalain, P. O.

In the near future, our objective will be to motivate more laboratories to join this program. In addition, we would like to implement new modules allowing users to store and visualize all kind of functional data generated with viral ORFs from the collection. This virus clone collection was primarily developed to map virus-host protein-protein interactions using the yeast two-hybrid (Y2H) system as a collaborative effort between co-authors of this manuscript. Current storage and display of virushost interaction data obtained by Y2H screening of HCV proteins constitute a first attempt to reach this goal. The 'Interaction' option of the menu bar allows users to select HCV ORFs and access all interacting cellular cDNA clones identified by Y2H. Whereas filtered data sets have already been published (12) , ViralORFeome interface allows users to access Y2H raw data to filter these results according to their own quality criteria. Other functional data such as subcellular localization or interference with immune response pathways should be implemented.