Human Protein Reference Database (HPRD) () was developed to serve as a comprehensive collection of protein features, post-translational modifications (PTMs) and protein–protein interactions. Since the original report, this database has increased to >20 000 proteins entries and has become the largest database for literature-derived protein–protein interactions (>30 000) and PTMs (>8000) for human proteins. We have also introduced several new features in HPRD including: (i) protein isoforms, (ii) enhanced search options, (iii) linking of pathway annotations and (iv) integration of a novel browser, GenProt Viewer (), developed by us that allows integration of genomic and proteomic information. With the continued support and active participation by the biomedical community, we expect HPRD to become a unique source of curated information for the human proteome and spur biomedical discoveries based on integration of genomic, transcriptomic and proteomic data.

Plasma is one of the best studied compartments in the human body and serves as an ideal body fluid for the diagnosis of diseases. This report provides a detailed functional annotation of all the plasma proteins identified to date. In all, gene products encoded by 3778 distinct genes were annotated based on proteins previously published in the literature as plasma proteins and the identification of multiple peptides from proteins under HUPO's Plasma Proteome Project. Our analysis revealed that 51% of these genes encoded more than one protein isoform. All single nucleotide polymorphisms involving protein-coding regions were mapped onto the protein sequences. We found a number of examples of isoform-specific subcellular localization as well as tissue expression. This database is an attempt at comprehensive annotation of a complex subproteome and is available on the web at http://www.plasmaproteomedatabase.org.

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Content matching based algorithms form the core of set of suspected strings requires significant processing many network security devices. It is one of the critical resources, both in terms of the amount of time to process a components due to the fact that it allows making decisions based packet, and the amount of memory needed. The state-of-the-art on the actual content flowing through the network. The most techniques limit the scope of this operation within a single important parameters that go into the design of a content payload instance.matching algorithm are its performance and accuracy of detection. Although this topic had received significant attention B. Main Contribution and Paper Organzation in literature over past decade, much of the work was focused on improving the performance. The accuracy of detection was This paper suggests a way of incorporating flow-aware limited within a packet instance. Protocols like TCP do not content matching security services in the data path with out

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