Dr. Aristotelis Chatziioannou, Research Lecturer Dr. Olga Papadodima, Technical Research Scientist Eleftherios Pilalis, MSc, Bioinformatician, PhD student Panagiotis Moulos, MSc, Applied Mathematician, PhD student
George Gkoutos,
Dr, External Collaborating researcher
(This Research Group has been recently created and is currently under development)
Metabolic engineering principles have produced great advances for bioprocess applications and for increasing the general understanding of biological systems. The DNA microarray technologies creates a new environment for metabolic engineering, although its focus and central components remain the same, new tools are required to take advantage of the opportunities arising from the availability of whole-genome sequence information, and the gene profiling experiments, which allow to derive abundant information concerning the interactions between the classes of biological molecules (genes, proteins, metabolites, transcription factors, cofactors, etc) underlying the cellular phenotype.
The group of metabolic engineering and bioinformatics of IBRB will be based on relevant activities initiated by the Laboratory of Biotechnology (Prof. F.N. Kolisis) of the School of Chemical Engineering NTUA. The group focuses its research interest in the study of biological mechanisms through the use of a wide range of computational tools in order to overcome the issues of significant measurement variation and the overwhelming complexity which is inherent in the biological systems. Using the chain of causal relations between the gene, the protein and the metabolic pathway level as a hypothesis bedrock, it aims to expand the boundaries of biological knowledge in the respective fields (genomic, proteomic, metabolic) by perceiving these fields as supplementary mechanisms of the same phenomenon. To this end, it uses systemic quantitative approaches to describe, analyze and create simulation models to study functional characteristics of specific physiological/ pathological mechanisms.
Indicative publications
1. Metabolic Flux Analysis as a tool for the elucidation of the metabolism of neurotransmitter glutamate».
A. Á . Chatziioannou, G. Palaiologos & F. N. Kolisis Metabolic Engineering 5 (2003) 201-210.
2. Metabolic modeling of the metabolism of neurotransmitter glutamate. Mathematical methods offer biochemical insight»
Aristotle Chatziioannou, Georgios Palaiologos and Fragiskos N. Kolisis. 2003, Proceedings of the International Conference in Metabolic Engineering, Santorini.
3.Radial Basis Function Neural Networks Classification for the Recognition of Idiopathic Pulmonary Fibrosis in Microscopic Images
Maglogiannis I. ; Sarimveis H. ; Kiranoudis C. ; Chatziioannou A. A. ; Oikonomou N. ; Aidinis V. ;
IEEE Transactions on Information Technology in Biomedicine : (2006) (in press)
4. Operational criteria for selecting a cDNA microarray data normalization algorithm. Argyropoulos, C., Chatziioannou, A.A., Nikiforidis, G., Moustakas, A., Kollias, G., Aidinis, V. Oncology reports. 15, (2006), Spec no., pp. 983-996.
5. Elucidating the regulatory role of glucocorticoids in the release of neurotransmitter glutamate with the use of metabolic engineering methodologies.
Aristotle Chatziioannou, Georgios Palaiologos and Fragiskos N. Kolisis. ÉÅÅ Systems Biology (submitted June 2005).
Research Group
