| SIB Databases |
| Researchers require an ever-increasing amount of in-depth and up-to-date information. To satisfy this thirst for high quality data, GeneBio has since 1998 provided access to the most comprehensive annotated proteomics databases: Swiss-Prot, PROSITE and SWISS-2DPAGE. These state-of-the-art databases provide the information needed towards research optimization. |
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Swiss-Prot
The Swiss-Prot knowledgebase does more than just collect information on protein sequences. It is an extensively cross-linked database that connects the various findings in the diverse field of proteomics research. In additions to the core sequence data, references and taxonomy, every Swiss-Prot entry includes manually annotated information (such as function, structure, variants, PTMs, tissue specificity, features, etc.). Swiss-Prot also merges sequence data to minimize redundancy and is cross-referenced with a variety of different databases and bioinformatics tools. |
| NOTE: Due to the integration of Swiss-Prot into UniProt (Universal Protein Resource), which is financially supported by a grant from the U.S. National Institute of Health, the usage of Swiss-Prot by both commercial entities and for-profit organizations no longer requires the payment of any license fees as of January 1, 2005. |
PROSITE
PROSITE is a database of protein families and domains. It is based on the observation that, while there is a huge number of different proteins, most of them can be grouped, on the basis of similarities in their sequences, into a limited number of families. Proteins or protein domains belonging to a particular family generally share functional attributes and are derived from a common ancestor. PROSITE is comprised of the specific signatures for over a thousand protein families or domains. Information on the structure and function of these proteins as well as the consensus pattern for the signature and a list of references are provided. |
SWISS-2DPAGE
SWISS-2DPAGE is an annotated two-dimensional polyacrylamide gel electrophoresis (2D PAGE) and SDS-PAGE database established in 1993 and maintained collaboratively by the Biomedical Proteomics Research Group (BPRG) of the Geneva University Hospital and the Swiss Institute of Bioinformatics (SIB). Besides the 2D PAGE images showing the determined location of the protein, as well as a theoretical region computed from the sequence protein, the database provides textual data on each protein (including mapping procedures, physiological and pathological information, experimental data and bibliographical references) as well as cross-references to Medline, other federated 2-D databases and to Swiss-Prot. |
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| GeneBio recommends access to these databases through the expasy.org server or an ExPASy mirror site as these sites are maintained by the Swiss Institute of Bioinformatics. The ExPASy sites provide the latest 'updates' and 'releases' of the PROSITE and SWISS-2DPAGE databases. ExPASy also offers cutting edge proteomic tools and software packages. To access the ExPASy server follow this link. |
| PROSITE and SWISS-2DPAGE are developed and copyrighted by the Swiss Institute of Bioinformatics (SIB). Access to these databases by commercial entities is subject to the licensing conditions outlined in the User Notice (PDF) and the SIB License (PDF). Please contact us for further details. Please read the SIB Database Legal Disclaimer. |
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| ProXenter |
| The life science industry in general and proteomics in particular generate massive amounts of data that must be stocked and managed by an increasing number of proteomics databases. The challenge is to overcome this information bottleneck by discovering new ways of organizing information and generating knowledge from this mass of data in order to improve our understanding within the life sciences realm. |
| At GeneBio we are constantly striving to provide high quality content solutions targeted at information "integration" rather than information "stacking." We focus on putting together the right information in a contextualized manner that allows research scientists to synthesize separate and disparate pieces of information to generate pertinent biological knowledge. |
| As a representation of this philosophy, GeneBio has developed ProXenter with the objective of bringing to scientists an innovative product enabling them to overcome the information overload faced in day-tp-day work. ProXenter is a Web-based information resource and discovery platform focused on specific groups of proteins of high interest to life sciences research in general and particularly to the pharmaceutical and drug discovery industry. |
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For each group of proteins, ProXenter offers a unique access point that guides scientists, with the help of appropriate tools for navigation and data analysis, to rapidly integrate and analyze information about those proteins, furthering knowledge-driven research decisions. | |
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