About Biozon

The function of genes depends on their extended biological context - their relations to other genes, the set of interactions they form, the pathways they participate in, their subcellular location, and so on. The goal of the Biozon project is to address the growing need to corroborate and integrate data from different resources and aspects of biological systems for effective analysis of new genes and other biological entities from complexes to protein families and biochemical pathways.

The Biozon database relies on an extensive database schema that integrates information at the macro-molecular level as well as at the cellular level, from a variety of resources to create a unified biological knowledge resource with emphasis on protein and DNA characterization and classification. The database was designed so as to allow easy integration with other data types and existing and future databases. (Interested in sharing and linking your data to the Biozon datasets? read more).

This database could not have been compiled together without the enormous effort of research groups that developed SwissProt, PDB, BIND, Genbank, KEGG and other databases (see the complete Database List) and made that invaluable knowledge available. Our resource is built upon these databases, and augments this data with new data, such as pairwise similarities between proteins, the domain structure of proteins, structural similarities, threading-based and profile-profile similarities between protein families. Additional information about 3D models, predicted protein-protein interactions, assignment of genes to pathways and expression data analysis, as well as local and global maps of the protein space will be gradually added to Biozon. See Biozon Data Sets to view the current content of this database. For more information on Biozon see Biozon Papers.

The Biozon database was developed by Yona's lab at the Department of Computer Science in Cornell University (see Biozon Staff). It is supported by grants from NSF and Sun microsystems, and by the department of Computer Science at Cornell University. In November 2007 Biozon moved to Stanford University.

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