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This site provides access to the research output of the institution. Some items are not available as full text. The interface in French and English

Nearly 60% of patients undergoing cancer treatment are estimated to have had at least one potential drug-drug interaction; for patients receiving oral anticancer therapy, up to 50% have been reported to experience a potential drug-drug interaction, with 16% experiencing a major event. Drug-drug interactions are therefore a significant issue for cancer patients and the health care professionals who treat them. Combining the internationally recognised drug-drug interactions expertise of the University of Liverpool (UK) with the clinical pharmacology in oncology and haemotology expertise of Radboud University, Nijmegen (the Netherlands), this site was established in 2017 in response to the need for improved management of DDIs with anti-cancer agents.

FlyMine is an integrated database of genomic, expression and protein data for Drosophila, Anopheles and C. elegans. Its main focus is genomic and proteomics data for Drosophila and other insects. It provides access to integrated data at a number of different levels, from browsing to construction of complex queries, which can be executed on either single items or lists.

PDX Finder is an open repository for the upload and storage of clinical, genomic and functional Patient-Derived Xenograph (PDX) data which provides a comprehensive global catalogue of PDX models available for researchers across distributed repository databases. Integrated views are provided for histopathological image data, molecular classification of tumors, host mouse strain metadata, tumor genomic data and metrics on tumor response to chemotherapeutics. The data model for PDX Finder is based on the minimal information standard for PDX models developed in collaboration with a broad range of stakeholders who create and/or use PDX models in basic and pre-clinical cancer research.

This site provides access to the research output of the institution. The interface is available in Italian and English. Some content is not available as full-text.

ARIADNE is a research infrastructure for archaeology. Its main objective is to support research, learning and teaching by enabling access to digital resources and innovative new services. It does this by maintaining a catalogue of digital datasets, by promoting best practices in the management and use of digital data in archaeology, by offering training and advice, and by supporting the development of innovative new services for archaeology.

The CATH database is a free, publicly available online resource that provides information on the evolutionary relationships of protein domains. It provides a hierarchical domain classification of protein structures in the Protein Data Bank. Protein structures are classified using a combination of automated and manual procedures. There are four major levels in this hierarchy; Class (secondary structure classification, e.g. mostly alpha), Architecture (classification based on overall shape), Topology (fold family) and Homologous superfamily (protein domains which are thought to share a common ancestor).