Marie-Claude Blatter

The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003

The SWISS-PROT protein knowledgebase (http://www.expasy.org/sprot/ and http://www.ebi.ac.uk/swissprot/) connects amino acid sequences with the current knowledge in the Life Sciences. Each protein entry provides an interdisciplinary overview of relevant information by bringing together experimental results, computed features and sometimes even contradictory conclusions. Detailed expertise that goes beyond the scope of SWISS-PROT is made available via direct links to specialised databases. SWISS-PROT provides annotated entries for all species, but concentrates on the annotation of entries from human (the HPI project) and other model organisms to ensure the presence of high quality annotation for representative members of all protein families. Part of the annotation can be transferred to other family members, as is already done for microbes by the High-quality Automated and Manual Annotation of microbial Proteomes (HAMAP) project. Protein families and groups of proteins are regularly reviewed to keep up with current scientific findings. Complementarily, TrEMBL strives to comprise all protein sequences that are not yet represented in SWISS-PROT, by incorporating a perpetually increasing level of mostly automated annotation. Researchers are welcome to contribute their knowledge to the scientific community by submitting relevant findings to SWISS-PROT at swiss-prot@expasy.org.

The UniProt-GO Annotation database in 2011

The GO annotation dataset provided by the UniProt Consortium (GOA: http://www.ebi.ac.uk/GOA) is a comprehensive set of evidenced-based associations between terms from the Gene Ontology resource and UniProtKB proteins. Currently supplying over 100 million annotations to 11 million proteins in more than 360 000 taxa, this resource has increased 2-fold over the last 2 years and has benefited from a wealth of checks to improve annotation correctness and consistency as well as now supplying a greater information content enabled by GO Consortium annotation format developments. Detailed, manual GO annotations obtained from the curation of peer-reviewed papers are directly contributed by all UniProt curators and supplemented with manual and electronic annotations from 36 model organism and domain-focused scientific resources. The inclusion of high-quality, automatic annotation predictions ensures the UniProt GO annotation dataset supplies functional information to a wide range of proteins, including those from poorly characterized, non-model organism species. UniProt GO annotations are freely available in a range of formats accessible by both file downloads and web-based views. In addition, the introduction of a new, normalized file format in 2010 has made for easier handling of the complete UniProt-GOA data set.

Binding of Human Urokinase-Type Plasminogen Activator to Its Receptor Residues Involved in Species Specificity and Binding

Urokinase-type plasminogen activator (UPA), particularly when bound to its receptor (UPAR), is thought to play a major role in local proteolytic processes, thus facilitating cell migration as may occur during angiogenesis, neointima and atherosclerotic plaque formation, and tumor cell invasion. To facilitate understanding of the need and function of the UPA/UPAR interaction in cell migration and vascular remodeling, we changed several amino acid residues in UPA so as to interfere with its interaction with its receptor. The receptor-binding domain of UPA has been localized to a region in the growth factor domain between residues 20 and 32. Since the binding of UPA to UPAR appears to be species specific, we used the differences in amino acid sequences in the growth factor domain of UPA between various species to construct a human UPA variant that does not bind to the human UPAR. We substituted Asn22 for its mouse equivalent Tyr by site-directed mutagenesis. This mutant UPA had similar plasminogen activator characteristics as wild-type UPA, including its specific activity and interaction with plasminogen activator inhibitor-1. However, no UPA/UPAR complexes could be observed in cross-linking experiments using DFP-treated 125I-labeled mutant UPA and lysates of various cells, including U937 histiocytic lymphoma cells, phorbol myristate acetate-treated human ECs, and mouse LB6 cells transfected with human UPAR cDNA. In direct binding experiments, DFP-treated 125I-labeled mutant UPA could not bind to phorbol myristate acetate-treated ECs, whereas wild-type UPA did bind. Furthermore, a 25-fold excess of wild-type UPA completely prevented the binding of DFP-treated 125I-labeled wild-type UPA to the human receptor on transfected LB6 cells, whereas an equal amount of mutant UPA had only a very small effect. In ligand blotting assays, very weak binding of mutant UPA to human UPAR could be observed. Changing Asn22 into the other amino acid residues alanine or glutamine had no effect on binding to UPAR on human ECs. The functional integrity of the growth factor domain in the non-receptor binding Asn22Tyr mutant is suggested by the fact that binding of this mutant to a murine UPAR can be restored after additional mutations in the growth factor domain, Asn27,His29,Trp30 to Arg27,Arg29,Arg30. We conclude that Asn22 and Asn27,His29,Trp30 in human UPA are key determinants in the species-specific binding of the enzyme to its receptor and that changing Asn22 into Tyr results in a UPA mutant with strongly reduced binding to UPAR.

Bioinformatics training: a review of challenges, actions and support requirements

As bioinformatics becomes increasingly central to research in the molecular life sciences, the need to train non-bioinformaticians to make the most of bioinformatics resources is growing. Here, we review the key challenges and pitfalls to providing effective training for users of bioinformatics services, and discuss successful training strategies shared by a diverse set of bioinformatics trainers. We also identify steps that trainers in bioinformatics could take together to advance the state of the art in current training practices. The ideas presented in this article derive from the first Trainer Networking Session held under the auspices of the EU-funded SLING Integrating Activity, which took place in November 2009.

Bioinformatics Training Network (BTN): a community resource for bioinformatics trainers

Funding bodies are increasingly recognizing the need to provide graduates and researchers with access to short intensive courses in a variety of disciplines, in order both to improve the general skills base and to provide solid foundations on which researchers may build their careers. In response to the development of ‘high-throughput biology’, the need for training in the field of bioinformatics, in particular, is seeing a resurgence: it has been defined as a key priority by many Institutions and research programmes and is now an important component of many grant proposals. Nevertheless, when it comes to planning and preparing to meet such training needs, tension arises between the reward structures that predominate in the scientific community which compel individuals to publish or perish, and the time that must be devoted to the design, delivery and maintenance of high-quality training materials. Conversely, there is much relevant teaching material and training expertise available worldwide that, were it properly organized, could be exploited by anyone who needs to provide training or needs to set up a new course. To do this, however, the materials would have to be centralized in a database and clearly tagged in relation to target audiences, learning objectives, etc. Ideally, they would also be peer reviewed, and easily and efficiently accessible for downloading. Here, we present the Bioinformatics Training Network (BTN), a new enterprise that has been initiated to address these needs and review it, respectively, to similar initiatives and collections.

iAnn: an event sharing platform for the life sciences

Summary: We present iAnn, an open source community-driven platform for dissemination of life science events, such as courses, conferences and workshops. iAnn allows automatic visualisation and integration of customised event reports. A central repository lies at the core of the platform: curators add submitted events, and these are subsequently accessed via web services. Thus, once an iAnn widget is incorporated into a website, it permanently shows timely relevant information as if it were native to the remote site. At the same time, announcements submitted to the repository are automatically disseminated to all portals that query the system. To facilitate the visualization of announcements, iAnn provides powerful filtering options and views, integrated in Google Maps and Google Calendar. All iAnn widgets are freely available. Availability: http://iann.pro/iannviewer Contact: manuel.corpas@tgac.ac.uk

Educational Tools to Introduce Computer-Aided Drug Design to Students and to the Public at Large

The Drug Design Workshop initiative was put in place in 2015 and consists of a collection of educational tools especially developed to introduce computer-aided drug design to the general public and students of various levels. These presentations, hands-on sessions, physical material and on-line educational tools (http://www.drug-design-workshop.ch) have been used in a variety of settings including classrooms, universities, teacher training sessions and science fairs. The main goal is to inform an audience as broad as possible regarding the processes and challenges for the design, discovery and development of drugs. The present article describes what is presently available and the future direction for new activities currently under development.