Objective
This project addresses a key issue in pharmaceutical research from a fundamental technological perspective: functional drug target identification and early detection of toxic side effects. When assessing metabolic functions, current methods such as proteomics or transcriptomics have inherently indirect readouts and are often not representative of the in vivo metabolic state. The aim of this multidisciplinary project is to monitored functional drug interactions with components in complex metabolic networks b y applying and developing metabolomics and fluxomics methods in combination with multivariate statistics and machine-learning. Thereby, we will conceptually extend the capability to observe metabolic network operation well beyond the limits of current technologies.
As a proof-of-concept, we focus on small molecule drugs that interfere with metabolism or its overlaying regulatory control network in the model eukaryote Saccharomyces cerevisiae. The hypothesis to be tested is whether multivariate statistical discrimination of mass spectrometry-detected nutritionally, pharmaceutically, or toxicologically relevant metabolic states have potential to conceptually improve early drug development. If successful, the novel approach is relevant for early in vivo characterization of drug target physiology and toxicology. While unicellular yeast is a pilot case, the approach can principally be extended to multi-cellular organisms and organs. Thus, this work has potential to improve the overall efficiency of European pharmaceutical research to treat human disease.
The project will be carried out at the ETH Institute of Molecular Systems Biology and the Centre for Systems Physiology and Metabolic Diseases under the supervision of Prof. U Sauer. The Centre offers a multidisciplinary research environment with world-class expertise in metabolomics, computer science, cell biology and pathology.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences basic medicine pharmacology and pharmacy drug discovery
- natural sciences biological sciences cell biology
- natural sciences computer and information sciences
- medical and health sciences basic medicine physiology
- natural sciences chemical sciences organic chemistry amines
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2005-MOBILITY-5
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
ZURICH
Switzerland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.