An update on the Enzyme Portal: an integrative approach for exploring enzyme knowledge.

14: Enzymes are a key part of life processes and are increasingly important for various areas of research such as medicine, biotechnology, bioprocessing and drug research. The goal of the Enzyme Portal is to provide an interface to all European Bioinformatics Institute (EMBL-EBI) data about enzymes (de Matos, P., et al. , (2013), BMC Bioinformatics , (1), 103). These data include enzyme function, sequence features and family classification, protein structure, reactions, pathways, small molecules, diseases and the associated literature. The sources of enzyme data are: the UniProt Knowledgebase (UniProtKB) (UniProt Consortium, 2015), the Protein Data Bank in Europe (PDBe), (Valenkar, S., et al ., Nucleic Acids Res. 2016; , D385-D395) Rhea-a database of enzyme-catalysed reactions (Morgat, A., et al .,  Nucleic Acids Res.  2015; , D459-D464), Reactome-a database of biochemical pathways (Fabregat, A., et al ., Nucleic Acids Res. 2016;  , D481-D487), IntEnz-a resource with enzyme nomenclature information (Fleischmann, A., et al ., Nucleic Acids Res.  2004 , D434-D437) and ChEBI (Hastings, J., et al .,  Nucleic Acids Res. 2013) and ChEMBL (Bento, A. P., et al ., Nucleic Acids Res.  2014 , 1083-1090)-resources which contain information about small-molecule chemistry and bioactivity. This article describes the redesign of Enzyme Portal and the increased functionality added to maximise integration and interpretation of these data. Use case examples of the Enzyme Portal and the versatile workflows its supports are illustrated. We welcome the suggestion of new resources for integration.

BioMart Central Portal: an open database network for the biological community.

BioMart Central Portal is a first of its kind, community-driven effort to provide unified access to dozens of biological databases spanning genomics, proteomics, model organisms, cancer data, ontology information and more. Anybody can contribute an independently maintained resource to the Central Portal, allowing it to be exposed to and shared with the research community, and linking it with the other resources in the portal. Users can take advantage of the common interface to quickly utilize different sources without learning a new system for each. The system also simplifies cross-database searches that might otherwise require several complicated steps. Several integrated tools streamline common tasks, such as converting between ID formats and retrieving sequences. The combination of a wide variety of databases, an easy-to-use interface, robust programmatic access and the array of tools make Central Portal a one-stop shop for biological data querying. Here, we describe the structure of Central Portal and show example queries to demonstrate its capabilities.