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  1. Article

    Open Access

    Using optimal control to understand complex metabolic pathways

    Optimality principles have been used to explain the structure and behavior of living matter at different levels of organization, from basic phenomena at the molecular level, up to complex dynamics in whole pop...

    Nikolaos Tsiantis, Julio R. Banga in BMC Bioinformatics (2020)

  2. Article

    Open Access

    Parameter estimation in models of biological oscillators: an automated regularised estimation approach

    Dynamic modelling is a core element in the systems biology approach to understanding complex biosystems. Here, we consider the problem of parameter estimation in models of biological oscillators described by d...

    Jake Alan Pitt, Julio R. Banga in BMC Bioinformatics (2019)

  3. Article

    Open Access

    Parameter identifiability analysis and visualization in large-scale kinetic models of biosystems

    Kinetic models of biochemical systems usually consist of ordinary differential equations that have many unknown parameters. Some of these parameters are often practically unidentifiable, that is, their values ...

    Attila Gábor, Alejandro F. Villaverde, Julio R. Banga in BMC Systems Biology (2017)

  4. Article

    Open Access

    Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy

    The development of large-scale kinetic models is one of the current key issues in computational systems biology and bioinformatics. Here we consider the problem of parameter estimation in nonlinear dynamic mod...

    David R. Penas, Patricia González, Jose A. Egea, Ramón Doallo in BMC Bioinformatics (2017)

  5. No Access

    Chapter and Conference Paper

    PREMER: Parallel Reverse Engineering of Biological Networks with Information Theory

    A common approach for reverse engineering biological networks from data is to deduce the existence of interactions among nodes from information theoretic measures. Estimating these quantities in a multidimensi...

    Alejandro F. Villaverde, Kolja Becker in Computational Methods in Systems Biology (2016)

  6. Article

    Open Access

    Robust and efficient parameter estimation in dynamic models of biological systems

    Dynamic modelling provides a systematic framework to understand function in biological systems. Parameter estimation in nonlinear dynamic models remains a very challenging inverse problem due to its nonconvexi...

    Attila Gábor, Julio R. Banga in BMC Systems Biology (2015)

  7. Article

    Open Access

    Enabling network inference methods to handle missing data and outliers

    The inference of complex networks from data is a challenging problem in biological sciences, as well as in a wide range of disciplines such as chemistry, technology, economics, or sociology. The quantity and q...

    Abel Folch-Fortuny, Alejandro F. Villaverde, Alberto Ferrer in BMC Bioinformatics (2015)

  8. Article

    Open Access

    Optimal programs of pathway control: dissecting the influence of pathway topology and feedback inhibition on pathway regulation

    Adjusting the capacity of metabolic pathways in response to rapidly changing environmental conditions is an important component of microbial adaptation strategies to stochastic environments. In this work, we u...

    Gundián M de Hijas-Liste, Eva Balsa-Canto, Jan Ewald, Martin Bartl in BMC Bioinformatics (2015)

  9. Article

    Open Access

    BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology

    Dynamic modelling is one of the cornerstones of systems biology. Many research efforts are currently being invested in the development and exploitation of large-scale kinetic models. The associated problems of...

    Alejandro F Villaverde, David Henriques, Kieran Smallbone in BMC Systems Biology (2015)

  10. Article

    Open Access

    Multicriteria global optimization for biocircuit design

    One of the challenges in Synthetic Biology is to design circuits with increasing levels of complexity. While circuits in Biology are complex and subject to natural tradeoffs, most synthetic circuits are simple...

    Irene Otero-Muras, Julio R Banga in BMC Systems Biology (2014)

  11. Article

    Open Access

    MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics

    Optimization is the key to solving many problems in computational biology. Global optimization methods, which provide a robust methodology, and metaheuristics in particular have proven to be the most efficient...

    Jose A Egea, David Henriques, Thomas Cokelaer, Alejandro F Villaverde in BMC Bioinformatics (2014)

  12. Article

    Open Access

    Global dynamic optimization approach to predict activation in metabolic pathways

    During the last decade, a number of authors have shown that the genetic regulation of metabolic networks may follow optimality principles. Optimal control theory has been succesfully used to compute optimal en...

    Gundián M de Hijas-Liste, Edda Klipp, Eva Balsa-Canto, Julio R Banga in BMC Systems Biology (2014)

  13. No Access

    Chapter and Conference Paper

    A Parallel Differential Evolution Algorithm for Parameter Estimation in Dynamic Models of Biological Systems

    Metaheuristics are gaining increased attention as efficient solvers for hard global optimization problems arising in bioinformatics and computational systems biology. Differential Evolution (DE) is one of the ...

    D. R. Penas, Julio R. Banga, P. González in 8th International Conference on Practical … (2014)

  14. No Access

    Chapter and Conference Paper

    High-Confidence Predictions in Systems Biology Dynamic Models

    Obtaining reliable predictions from large-scale dynamic models is a challenging task due to frequent lack of identifiability. This work presents a methodology for obtaining high confidence predictions in biote...

    Alejandro F. Villaverde, Sophia Bongard in 8th International Conference on Practical … (2014)

  15. No Access

    Chapter and Conference Paper

    Optimization Based Design of Synthetic Oscillators from Standard Biological Parts

    We consider the problem of optimal design of synthetic biological oscillators. Our aim is, given a set of standard biological parts and some pre-specified performance requirements, to automatically find the ci...

    Irene Otero-Muras, Julio R. Banga in Computational Methods in Systems Biology (2014)

  16. No Access

    Chapter and Conference Paper

    Improved Parameter Estimation in Kinetic Models: Selection and Tuning of Regularization Methods

    Kinetic models are being increasingly used as a systematic framework to understand function in biological systems. Calibration of these nonlinear dynamic models remains challenging due to the nonconvexity and ...

    Attila Gábor, Julio R. Banga in Computational Methods in Systems Biology (2014)

  17. Article

    Open Access

    Simultaneous model discrimination and parameter estimation in dynamic models of cellular systems

    Model development is a key task in systems biology, which typically starts from an initial model candidate and, involving an iterative cycle of hypotheses-driven model modifications, leads to new experimentati...

    Maria Rodriguez-Fernandez, Markus Rehberg, Andreas Kremling in BMC Systems Biology (2013)

  18. No Access

    Chapter and Conference Paper

    On the Verification and Correction of Large-Scale Kinetic Models in Systems Biology

    In this paper we consider the problem of verification of large dynamic models of biological systems. We present syntactical criteria based on biochemical kinetics to ensure the plausibility of a model and the ...

    Attila Gábor, Katalin M. Hangos in Computational Methods in Systems Biology (2013)

  19. Article

    Open Access

    Dynamic optimization of distributed biological systems using robust and efficient numerical techniques

    Systems biology allows the analysis of biological systems behavior under different conditions through in silico experimentation. The possibility of perturbing biological systems in different manners calls for the...

    Carlos Vilas, Eva Balsa-Canto, Maria-Sonia G García, Julio R Banga in BMC Systems Biology (2012)

  20. Article

    Open Access

    A cooperative strategy for parameter estimation in large scale systems biology models

    Mathematical models play a key role in systems biology: they summarize the currently available knowledge in a way that allows to make experimentally verifiable predictions. Model calibration consists of findin...

    Alejandro F Villaverde, Jose A Egea, Julio R Banga in BMC Systems Biology (2012)

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