Diego A. OyarzúnResearch FellowHamilton Institute |
BioOriginally from Valdivia, southern Chile, I graduated in 2006 as Civil Electronic Engineer with a MSc in Electronic Engineering from Universidad Técnica Federico Santa María in Valparaíso, Chile, under the supervision of Prof Mario Salgado. I completed my PhD in the Systems Biology group at the Hamilton Institute under the supervision of Prof Peter Wellstead and Dr Dimitrios Kalamatianos. I'm moving: starting January 2011 I will be at the Centre for Synthetic Biology and Innovation in the Dept. of Bioengineering, Imperial College London. |
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Research interests
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Research in Systems & Mathematical BiologyInterplay between the dynamics of genetic and metabolic networksUpon changes in intra- or extra-cellular conditions, the modulation of metabolic activity allows for resource allocation (activation or suppression of specific pathways) and responses to environmental stimuli. One of the mechanisms that underpins this regulation is feedback genetic control; the dynamics of combined genetic/metabolic systems are well-understood in notable cases such as the Lac operon, but more complex regulatory topologies remain elusive. In this project we aim at characterizing the dynamics of a metabolic network coupled with a genetic circuit via metabolites that regulate enzyme synthesis. The metabolic subsystem is described by a nonlinear control-affine system, whereas the genetic circuit is modeled as a piecewise linear system, which accounts for the typical switch-like behavior of genetic interactions. See conference paper [12] below. Collaborators: Dr Madalena Chaves (COMORE team, INRIA Sophia Antipolis, France). |
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Dynamic optimization of metabolic networksIt is widely accepted that many biochemical systems have evolved so as to optimize cellular adaptation to environmental conditions. Under this premise we have addressed different optimal control problems aimed at reverse-engineering metabolic networks. We have considered the dynamic optimization of enzyme synthesis rates and/or concentrations for a nonlinear control-affine metabolic network under linear and quadratic cost functions; see my Ph.D. Thesis, journal papers [6-7], and conference papers [4,7]. Collaborators: Prof Brian Ingalls (U. Waterloo, Canada), Prof Rick Middleton (Hamilton Institute), Dr Dimitris Kalamatianos (Hamilton Institute). | ||||||||||||||||||||||||||||||||||||||||
Inhibition of cellular receptor systemsThis project stemmed from the Ph.D. Thesis of Dr Ben-Fillippo Krippendorff and focuses on a class of cell membrane receptors (Receptor Tyrosine Kinases) and their interaction with inhibitory protein drugs such as monoclonal antibodies (which are used in cancer treatment as part of chemotherapeutic regimes). The project aims at understanding how the magnitude of inhibition relates to the phenotype of the target cell and the biophysical parameters of the drug. The elucidation of these interactions may aid the design and optimization of therapeutic proteins. The analyses are based on a nonlinear ODE model for the drug-receptor-ligand interaction; some of our first results are reported in the conference articles [9,10]. Collaborators: Dr Ben-Fillippo Krippendorff (U. Cambridge), Prof Wilhelm Huisinga (U. Potsdam). | ||||||||||||||||||||||||||||||||||||||||
Research in Feedback Control SystemsMultivariable controlThis is part of the research done with Prof Mario Salgado and in collaboration with Dr Eduardo Silva (Universidad Técnica Federico Santa María, Chile). Most of this work is about optimal control methods for multivariate systems with a particular sparsity structure. See journal papers [2-4] and conference papers [1,3,5,6,8] below. Power electronicsAs part of a research internship during 2004. See journal paper [5] and conference paper [2]. |
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PublicationsJournals
Conference proceedings
Others
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Last update 01.12.2010 |