Objective
Foreseen Results
The project is based on a novel approach of screening of protein databases, proceeding from quantitative description of substrate specificity of the appropriate enzymes. Specificity of the phospholipid- dependent protein kinase from maize seedlings will be studied by using synthetic combinatorial peptide libraries, modelling the phosphorylation sites of the substrates. These peptide libraries will be designed in the way that provides the possibility of a systematic structure-activity analysis of the phosphorylation data in terms of physico-chemical descriptors (substituent constants) and quantitative characterization of the enzyme specificity for amino acids flanking the phosphorylatable site from both sides. On the basis of the formal and quantitative presentation of specificity of the plant protein kinase a computer program will be developed for massive screening of the phosphorylation sites in protein (or DNA) primary structure data-bases and prediction of the potential substrate proteins of this enzyme in plants.
Reversible phosphorylation of proteins by protein kinases and phosphatases is a fundamental principle for metabolic regulation not only in animals but also in plants, although much less investigated in the latter case. The aim of the present project is to study a newly discovered plant protein kinase by identifying potential protein substrates of this enzyme. As this enzyme regulates metabolic activities such as starch biosynthesis, the results of the study are relevant to regulation mechanisms of this basic biological phenomenon and may provide possibilities of biochemical modulation of plant growth and development, which both are crucial aspects of agricultural plant cultivation for food production.
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.
- natural sciences computer and information sciences databases
- natural sciences biological sciences genetics DNA
- agricultural sciences agriculture, forestry, and fisheries agriculture horticulture
- natural sciences chemical sciences organic chemistry amines
- natural sciences biological sciences biochemistry biomolecules proteins enzymes
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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.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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
751 23 Uppsala
Sweden
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.