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1.
Nucleic Acids Res ; 33(Database issue): D418-24, 2005 Jan 01.
Article in English | MEDLINE | ID: mdl-15608229

ABSTRACT

The Biomolecular Interaction Network Database (BIND) (http://bind.ca) archives biomolecular interaction, reaction, complex and pathway information. Our aim is to curate the details about molecular interactions that arise from published experimental research and to provide this information, as well as tools to enable data analysis, freely to researchers worldwide. BIND data are curated into a comprehensive machine-readable archive of computable information and provides users with methods to discover interactions and molecular mechanisms. BIND has worked to develop new methods for visualization that amplify the underlying annotation of genes and proteins to facilitate the study of molecular interaction networks. BIND has maintained an open database policy since its inception in 1999. Data growth has proceeded at a tremendous rate, approaching over 100 000 records. New services provided include a new BIND Query and Submission interface, a Standard Object Access Protocol service and the Small Molecule Interaction Database (http://smid.blueprint.org) that allows users to determine probable small molecule binding sites of new sequences and examine conserved binding residues.


Subject(s)
Biopolymers/chemistry , Databases, Factual , Software , Animals , Binding Sites , Cattle , Computer Graphics , Humans , Internet , Mice , User-Computer Interface
2.
Nucleic Acids Res ; 31(1): 328-30, 2003 Jan 01.
Article in English | MEDLINE | ID: mdl-12520015

ABSTRACT

The Nuclear Protein Database (NPD) is a curated database that contains information on more than 1300 vertebrate proteins that are thought, or are known, to localise to the cell nucleus. Each entry is annotated with information on predicted protein size and isoelectric point, as well as any repeats, motifs or domains within the protein sequence. In addition, information on the sub-nuclear localisation of each protein is provided and the biological and molecular functions are described using Gene Ontology (GO) terms. The database is searchable by keyword, protein name, sub-nuclear compartment and protein domain/motif. Links to other databases are provided (e.g. Entrez, SWISS-PROT, OMIM, PubMed, PubMed Central). Thus, NPD provides a gateway through which the nuclear proteome may be explored. The database can be accessed at http://npd.hgu.mrc.ac.uk and is updated monthly.


Subject(s)
Cell Nucleus/chemistry , Databases, Protein , Nuclear Proteins , Amino Acid Sequence , Animals , Information Storage and Retrieval , Nuclear Proteins/analysis , Nuclear Proteins/chemistry , Nuclear Proteins/genetics , Nuclear Proteins/physiology , Protein Conformation , Proteome/physiology , Vertebrates/genetics
3.
Hum Mol Genet ; 10(18): 1995-2011, 2001 Sep 01.
Article in English | MEDLINE | ID: mdl-11555636

ABSTRACT

Many nuclear components participating in related pathways appear concentrated in specific areas of the mammalian nucleus. The importance of this organization is attested to by the dysfunction that correlates with mis-localization of nuclear proteins in human disease and cancer. Determining the sub-nuclear localization of proteins is therefore important for understanding genome regulation and function, and it also provides clues to function for novel proteins. However, the complexity of proteins in the mammalian nucleus is too large to tackle this on a protein by protein basis. Large-scale approaches to determining protein function and sub-cellular localization are required. We have used a visual gene trap screen to identify more than 100 proteins, many of which are normal, located within compartments of the mouse nucleus. The most common discrete localizations detected are at the nucleolus and the splicing speckles and on chromosomes. Proteins at the nuclear periphery, or in other nuclear foci, have also been identified. Several of the proteins have been implicated in human disease or cancer, e.g. ATRX, HMGI-C, NBS1 and EWS, and the gene-trapped proteins provide a route into further understanding their function. We find that sequence motifs are often shared amongst proteins co-localized within the same sub-nuclear compartment. Conversely, some generally abundant motifs are lacking from the proteins concentrated in specific areas of the nucleus. This suggests that we may be able to predict sub-nuclear localization for proteins in databases based on their sequence.


Subject(s)
Cell Nucleus/metabolism , Nuclear Proteins/metabolism , Animals , Apoptosis Regulatory Proteins , Biological Transport , Cell Cycle/physiology , Cell Differentiation/physiology , Cell Line , Cell Nucleolus/metabolism , Databases, Nucleic Acid , Embryo, Mammalian/cytology , Embryo, Mammalian/metabolism , Embryo, Nonmammalian , Gene Expression Regulation , Recombinant Fusion Proteins/genetics , Recombinant Fusion Proteins/metabolism , Transcription, Genetic , Tumor Cells, Cultured , beta-Galactosidase/genetics , beta-Galactosidase/metabolism
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