Francisco José Romero-Campero

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In this paper we present P systems as a reliable computational modelling tool for Systems Biology that takes into account the discrete character of the quantity of components of biological systems, the inherently randomness in biological phenomena and the key role played by membranes in the function of living cells. We will introduce two different(More)
In this paper we propose a new way to represent recognizer P systems with active membranes based on Production Systems techniques. This representation allows us to express the set of rules and the configurations in each step of the evolution as facts in a knowledge base. We provide a CLIPS program to simulate the evolutions of this variant of P systems.
Flowering is a crucial process that demands substantial resources. Carbon metabolism must be coordinated with development through a control mechanism that optimizes fitness for any physiological need and growth stage of the plant. However, how sugar allocation is controlled during the floral transition is unknown. Recently, the role of a CONSTANS (CO)(More)
The response to daylength is a crucial process that evolved very early in plant evolution, entitling the early green eukaryote to predict seasonal variability and attune its physiological responses to the environment. The photoperiod responses evolved into the complex signaling pathways that govern the angiosperm floral transition today. The Chlamydomonas(More)
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconventional computational paradigm that abstracts from the structure and functioning of the living cell. The process of designing models, consisting of both the optimisation of the modular(More)
This paper proposes a new methodology for the automated design of cell models for systems and synthetic biology. Our modelling framework is based on P systems, a discrete, stochastic and modular formal modelling language. The automated design of biological models comprising the optimization of the model structure and its stochastic kinetic constants is(More)
This paper investigates a hybrid approach to modeling molecular interactions in biology. P systems, π-calculus, and Petri nets models, and two tools, Daikon, used in software reverse-engineering, and PRISM, a probabilistic model checker, are investigated for their expressiveness and complementary roles in describing and analyzing biological systems. A(More)