Provides information about experimentally determined protein function, relationships among proteins of unknown function and various types of experimental data. COMBREX-DB contains information on approximately 3.3 million known and predicted proteins from over 1000 completely sequenced bacterial and archaeal genomes. It can help users to identify those proteins whose experimental determination of function would be most informative for predicting function for other proteins within protein families. The database is searchable by gene names, descriptions, predictions, and identifiers.
A resource that brings together protein sequence, structure and functional information, including overall chemical reaction and mechanistic data, for structurally defined domain superfamilies. FunTree uses the CATH classification to annotate and analyse super families of enzymes. In particular the relationships between known 3 dimensional structures, associated sequences and the enzyme chemistry is highlighted. This can be used to place structures and sequences in context of their evolution and the range and similarities/differences in the reaction chemistry (both bond order changes and small molecule substructure). In addition it can be used to infer the possible range of reactions of enzyme structures and sequences that do not have a known function as well as indicating other reactions or substrates available to an enzyme that as yet may not have been observed (enzyme promiscuity).
Allows annotation of orphan and distantly homologous proteins with broad function terms. The FFPred server consists in of individual classifiers for over 100 molecular function and about 90 biological process categories. It integrates information from many different resources. Moreover, it offers users possibility to submit an amino acid sequence for prediction.
Supplies contents and method to study DNA sequences. Globin Gene Server informs about human hemoglobin mutations. It offers a list of experimental data and several types of software allowing comparison to find regions that are likely to play significant roles.
Allows exploration of kinase-inhibitor families (KIFs) and kinase-inhibitor-disease (KID) relationships. KIDFamMap can provide further insights in the elucidation of protein kinase inhibitor selectivity and binding mechanisms. It can be used to design selective kinase inhibitors. The database contains about 1200 KIFs, 960 kinase-disease relationships, 187 000 kinase-inhibitor assays, 340 kinase-related diseases and 638 disease allelic variants.
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