The main goal of PLASdb is to stimulate further research on some of the least-studied proteins of plants. To this end, we have compiled and integrated information from public data sources (e.g. The Institute for Genomic Research [TIGR], Munich Information center for Protein Sequences [MIPS], The Arabidopsis Information Resource [TAIR]) with links to the original information and provided links to external databases (e.g. Salk Institute Genomic Analysis Laboratory [SIGNAL]). In addition, we have performed predictions of subcellular localization and transmembrane helices, analyzed gene expression in organs based on expressed sequence tag (EST) frequencies and microarray data, and grouped protein families based on sequence similarity clustering (BLASTCLUST). Web-based interfaces to several search engines allow gene-driven or exploratory modes of data access. Information in PLASdb can be quickly downloaded in text or Excel format for further analysis. Explore the database and find out more about this project here