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https://dx.doi.org/10.48550/ar...
Article . 2009
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Modelling an Ammonium Transporter with SCLS

Authors: COPPO, Mario; DAMIANI, Ferruccio; GRASSI, ELENA; GUETHER, MIKE; TROINA, ANGELO;
Abstract

The Stochastic Calculus of Looping Sequences (SCLS) is a recently proposed modelling language for the representation and simulation of biological systems behaviour. It has been designed with the aim of combining the simplicity of notation of rewrite systems with the advantage of compositionality. It also allows a rather simple and accurate description of biological membranes and their interactions with the environment. In this work we apply SCLS to model a newly discovered ammonium transporter. This transporter is believed to play a fundamental role for plant mineral acquisition, which takes place in the arbuscular mycorrhiza, the most wide-spread plant-fungus symbiosis on earth. Due to its potential application in agriculture this kind of symbiosis is one of the main focuses of the BioBITs project. In our experiments the passage of NH3 / NH4+ from the fungus to the plant has been dissected in known and hypothetical mechanisms; with the model so far we have been able to simulate the behaviour of the system under different conditions. Our simulations confirmed some of the latest experimental results about the LjAMT2;2 transporter. The initial simulation results of the modelling of the symbiosis process are promising and indicate new directions for biological investigations.

Keywords

FOS: Computer and information sciences, J.3, F.3.3; J.3; F.1.2, QA75.5-76.95, Quantitative Biology - Quantitative Methods, Computational Engineering, Finance, and Science (cs.CE), Electronic computers. Computer science, FOS: Biological sciences, Cell Behavior (q-bio.CB), QA1-939, Quantitative Biology - Cell Behavior, F.3.3, Quantitative Methods, F.1.2, Computer Science - Computational Engineering, Finance, and Science, Mathematics, Quantitative Methods (q-bio.QM)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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