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Authors: Gerasimos G. Rigatos and Efthymia G. Rigatou

Affiliation: Industrial Systems Institute, Greece

ISBN: 978-989-758-012-3

Keyword(s): p53 Protein Synthesis, mdm2 Inhibitor, Nonlinear Feedback Control, Differential Flatness Theory, Derivative free Nonlinear Kalman Filter.

Related Ontology Subjects/Areas/Topics: Algorithms and Software Tools ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Biostatistics and Stochastic Models ; Computational Intelligence ; Pharmaceutical Applications ; Soft Computing ; Systems Biology

Abstract: A nonlinear feedback control scheme for the p53 protein - mdm2 inhibitor system is developed with the use of differential flatness theory and of nonlinear Kalman Filtering. It is shown that by applying differential flatness theory the protein synthesis model can be transformed into the canonical form. This enables the design of a feedback control law that maintains the concentration of the p53 protein at the desirable levels. To estimate the non-measurable elements of the state vector describing the p53-mdm2 system dynamics and to compensate for modeling uncertainties and external disturbances that affect the p53-mdm2 system, the nonlinear Kalman Filter is re-designed as a disturbance observer. The proposed nonlinear feedback control and perturbations compensation method for the p53-mdm2 system can result in more efficient chemotherapy schemes where the infusion of medication will be better administered.

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Paper citation in several formats:
G. Rigatos, G. and G. Rigatou, E. (2014). Control of the p53 Protein - mdm2 Inhibitor System using Nonlinear Kalman Filtering.In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014) ISBN 978-989-758-012-3, pages 209-214. DOI: 10.5220/0004866702090214

@conference{bioinformatics14,
author={Gerasimos G. Rigatos. and Efthymia G. Rigatou.},
title={Control of the p53 Protein - mdm2 Inhibitor System using Nonlinear Kalman Filtering},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)},
year={2014},
pages={209-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004866702090214},
isbn={978-989-758-012-3},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)
TI - Control of the p53 Protein - mdm2 Inhibitor System using Nonlinear Kalman Filtering
SN - 978-989-758-012-3
AU - G. Rigatos, G.
AU - G. Rigatou, E.
PY - 2014
SP - 209
EP - 214
DO - 10.5220/0004866702090214

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