EUROPEAN RESEARCH INITIATIVES
Projects funded by the European Union
Sixth Framework Program
Networks of Excellence (NoE)
The network is made up of bioinformatics researchers from 25
institutions based in 14 countries throughout Europe. The objective of
the BioSapiens is to provide a large scale, concerted effort to
annotate genome data by laboratories distributed around Europe, using
both informatics tools and input from experimentalists.
This network will
optimize informatics and information exploitation by pure and applied
biological scientists in both the academic and commercial sectors.
It will work to integrate the major databases and software
tools in bioinformatics, using existing methods and emerging Grid
This new EU NoE is a bioinformatics project with extensive
experimental laboratory links, focused on delivering a
platform for integration of diverse experimental types in a
systems biology manner.
viRgil is the first-ever European
surveillance network capable of addressing current and emerging antiviral
drugs resistance developments. Focusing first on three major
diseases (influenza and viral hepatitis B and C), its mission is to build
a sustainable, patient-oriented ‘virtual institute’ structured into interacting
platforms that together will allow the containment of the problem of viral drug
Strategic Research Projects (STREPs)
ATD aims to understand the
mechanisms that are responsible for the formation of transcript isoforms
on a genome-wide scale by creating a value-added database of alternate
transcript from human and model species.
This project aims to bring computer models
and simulations to the experimental community. The focus will be on
two systems involving different aspects of biological systems:
networks and self-organization which will be applied to different
simulation approximations. This will enable the identification of both
the modeling and simulation strategies that are better suited for
particular experimental problems.
The goal of this project is to establish and apply a novel
computational framework in which to investigate dynamic interactions
of molecules within cells. Instead of simply mapping proteins in a
pathway, this project is concerned with “dynamic pathway modeling”.
This project aims to demonstrate the power of a Systems Biology
approach to study the regulatory network structure of the most
fundamental biological process in eukaryotes: the cell cycle. An
integrative approach will be applied to build a basic model of the
cell cycle, in four different species including S. cerevisiae
(budding yeast), S. pombe (fission yeast), A. thaliana
(weed, model plant) and human cells.
The entire drug development process should
be accompanied by bioinformatics and systems biology approaches,
especially by the introduction of simulation techniques and
experimental design. (A part of the process where this has
already been successful is in silico experiments which can be the
basis for a successful screening within the drug discovery process).
This project attempts to develop a software platform that is able to
meet the requirements of other parts of the process.
Integrated Projects (IPs)
ACGT brings together internationally recognised leaders in their respective fields, with the aim to deliver to the cancer research community an integrated Clinico-Genomic ICT environment enabled by a powerful GRID infrastructure.
The objectives of this project include the establishment of a broadly
applicable platform of routine methods for the analysis of protein
interaction networks. Interaction Proteome will develop novel
technology, including a high-end mass spectrometer with extremely
large dynamic range, high-density peptide arrays, and improved
visualization technology for light and electron microscopy.
This project aims to perform a ground-breaking impact on the identification
of potential new drug targets against RNA viruses through comprehensive
structural characterization of the replicative machinery of a carefully
selected and diverse set of viruses.
Coordination Actions (CAs)
A systems biology CA, focusing on complex diseases using cancer as a prototypical problem.
The Yeast Systems Biology Network proposes the yeast Saccharomyces cerevisiae as a model
system to develop the field and to advance our understanding of the rules and principles
of the dynamic operation of cellular systems. It will serve the integration of activities
in yeast systems biology.
Additional FP6 Resources
Fifth Framework Program
This project has delivered its objective to enhance the interoperability of
biological databases by improving the standardization of biochemical
terminology and by the introduction of shared ontologies. The project
successfully drew on the expertise of databases maintained at major
bioinformatics centers throughout Europe.
Genome research has spawned unprecedented volumes of data, but
of DNA and protein sequences has not kept pace with the rate of data acquisition.
To anyone trying to know more about a given sequence, the worldwide collection
of abstract and papers remains the ultimate information source. The goal of the
BioMinT project is to develop a generic text mining tool that interprets diverse
types of query, retrieves relevant documents from the biological literature,
extracts the required information, and outputs the result as a database slot
filler or as a structured report.
Driven both by the new discipline of genomics and increasing use of multi-dimensional
imaging technologies, the amount of digital information in the life sciences is growing
exponentially. As part of the response to this challenge a next generation scientific
information platform has been generated that will interlink genomic and other factual data
with the life sciences research literature.
Integrated system to manage the enormous complexity of the genome and proteome of the specific immune response: IMGT, the international ImMunoGeneTics information system.
This project concentrates on research and development to build the
European Bioinformatics resources for the genomic era and beyond.
These resources will be embedded in an integrated layer allowing
biomedical researchers to fully exploit genomic and proteomic data.