Structural analysis of Pla protein from the biological warfare agent Yersinia pestis: docking and molecular dynamics of interactions with the mammalian plasminogen system.

Yersinia pestis protein Pla is a plasmid-coded outer membrane protein with aspartic-protease activity. Pla exhibits a plasminogen (Plg) activator activity (PAA) that promotes the cleavage of Plg to the active serine-protease form called plasmin. Exactly how Pla activates Plg into plasmin remains unclear. To investigate this event, we performed the interactions between the predicted Plg and Pla protein structures by rigid-body docking with the HEX program and evaluated the complex stability by molecular dynamics (MD) using the GROMACS package programs. The predicted docked complex of Plg-Pla shows the same interaction site predicted by experimental site-direct mutagenesis in other studies. After a total of 8 ns of MD simulation, we observed the relaxation of the beta-barrel structure of Pla and the progressive approximation and stabilization between the cleavage site of Plg into the extracellular loops of Pla, followed by the increase in the number of H bonds. We also report here the aminoacids that participate in the active site and the sub sites of interaction. The total understanding of these interactions can be an important tool for drug design against bacterial proteases.

ProtozoaDB: dynamic visualization and exploration of protozoan genomes.

ProtozoaDB (http://www.biowebdb.org/protozoadb) is being developed to initially host both genomics and post-genomics data from Plasmodium falciparum, Entamoeba histolytica, Trypanosoma brucei, T. cruzi and Leishmania major, but will hopefully host other protozoan species as more genomes are sequenced. It is based on the Genomics Unified Schema and offers a modern Web-based interface for user-friendly data visualization and exploration. This database is not intended to duplicate other similar efforts such as GeneDB, PlasmoDB, TcruziDB or even TDRtargets, but to be complementary by providing further analyses with emphasis on distant similarities (HMM-based) and phylogeny-based annotations including orthology analysis. ProtozoaDB will be progressively linked to the above-mentioned databases, focusing in performing a multi-source dynamic combination of information through advanced interoperable Web tools such as Web services. Also, to provide Web services will allow third-party software to retrieve and use data from ProtozoaDB in automated pipelines (workflows) or other interoperable Web technologies, promoting better information reuse and integration. We also expect ProtozoaDB to catalyze the development of local and regional bioinformatics capabilities (research and training), and therefore promote/enhance scientific advancement in developing countries.