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INTAS grant: 03-51-5218 Building a comprehensive model of a mammalian cell-cycle regulatory network in normal and pathological states to predict potential anticancer pharmacological agents for key target molecules.
The main goals of the project are:
Create a database on cell cycle specific and related genes that will include available information on micro array gene expression data, data on gene transcription and translation regulation, proteomics data, comparative genomic data, SNP and other gene diversity data as well as related clinical data.
Develop models of the structure of genomic regulatory regions controlling gene expression of the most important genes involved in cell cycle regulation and predict new genes in genome involved in the cell cycle regulatory network.
Build a computer model of the core regulatory network of mammalian cell cycle. Analyze the structure and dynamic properties of the cell-cycle model, identify possible stationary states, investigate parametric stability of network, bifurcation analysis, identify the most critical components and parameters that can move system from one stationary state to another.
Modeling the structural and parametric changes in cell cycle regulatory networks during normal process of cell differentiation and the perturbations that are observed in different pathological situations for example deregulated cell proliferation. Identification of the components responsible for such perturbations and identification of targets and of mechanisms how cell cycle perturbations can be minimized and/or how cancer cells can de directed into apoptosis.
Using the most modern methods of chemoinformatics we will search for pharmacological agents that can influence the potential target molecules revealed by the modeling. We model the prolonged effects of the influence of the proposed pharmacological agents on the dynamics of the cell-cycle.
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Erfahrungsbericht:Rumänien
