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This site is an institutional repository providing access to materials produced by the members of the university. The site is supported with background information on Open Access in general, and publisher copyright issues in particular. Registered users on the site can set up email alerts, to notify them of newly added relevant content. The interface is available in Spanish and English.

DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v7.0) contains 1,134,942 gene-disease associations (GDAs), between 21,671 genes and 30,170 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 369,554 variant-disease associations (VDAs), between 194,515 variants and 14,155 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.

MINAS contains the exact geometric information on the first and second-shell coordinating ligands of every metal ion present in nucleic acid structures that are deposited in the PDB and NDB. Containing also the sequence information of the binding pocket-proximal nucleotides, this database allows for a detailed search of all combinations of potential ligands and of coordination environments of metal ions. MINAS is therefore a perfect new tool to classify metal ion binding pockets in nucleic acids by statistics and to draw general conclusions about the different coordination properties of these ions. This record has been marked as Uncertain because the homepage for this resource is no longer active, and we have not been able to get in touch with the owners of the resource. Please contact us if you have any information regarding MINAS.

MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.

This site is an institutional repository which provides open access to the publications produced by the members of the University. The interface is in Spanish.

FCP is a publicly accessible web tool dedicated to analysing the current state and trends on the population of available structures along the classification schemes of enzymes and nuclear receptors, offering both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures, as well as on the bias observed in the distribution of those structures among proteins.