Studies

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420 Studies visible to you, out of a total of 1069

 This model is derived from Biomodels 299 - the Leloup et al Neurospora clock model. This variant contains an embedded light-forcing function (SBO:000475) that provides a periodic light input. In this model, after 72h of LD12:12, the amplitude of Vs ( the light dependent parameter ) increases to 4.1, leading to chaotic oscillations. For this to happen, the periodic light function needs to produce a square-wave pattern.    Execution of this model will result in the behaviour depicted in Figure 2D ...

Neuronal musch signalling sbml diagram

Originally submitted to PLaSMo on 2012-03-05 12:33:43

This is a modified version of Biomodels89, containing a light-forcing function. This variant is configured to run cycles of LD8:16Related Publicationsocke JC, Kozma-Bognár L, Gould PD, Fehér B, Kevei E, Nagy F, Turner MS, Hall A, Millar AJ. (2006). Experimental validation of a predicted feedback loop in the multi-oscillator clock of Arabidopsis thaliana. . Mol Syst Biol . Originally submitted to PLaSMo on 2012-03-29 10:24:44

Model files accompanying Seaton et al., Molecular Systems Biology, 2015 Abstract: Clock?regulated pathways coordinate the response of many developmental processes to changes in photoperiod and temperature. We model two of the best?understood clock output pathways in Arabidopsis, which control key regulators of flowering and elongation growth. In flowering, the model predicted regulatory links from the clock to CYCLING DOF FACTOR 1 (CDF1) and FLAVIN?BINDING, KELCH REPEAT, F?BOX 1 (FKF1) transcription. ...

Validation: Validated against the original running in Excel. Each calculation in the model was individually validated as well. Comments on numerical integration: Euler integration with time steps of 1. In Simile the "time units" were set to "day" and execution was for 364 days as the simulation starts at time 0 (not time 1 as in the Excel model). Comments on running Simile model: Users must specify the temperature controlled growing season themselves. To do this use the following steps which take ...

Submitter: BioData SynthSys

Investigation: Davey, Chris

Assays: Miscanmod - PLM_3, version 1

This is a very simple generic vegetation model, with just one state variable (plant biomass), and two processes: assimilation and respiration.   In the original paper, the model is used twice, once for the trees and once for the grass under the trees, with the grass receiving light not intercepted by the trees.   The model provided here is just for a single vegetation component.Related PublicationsMcMurtrie RE, Wolf L (1983). A model of competition between trees and grass for radiation, water and ...

Test by Martin for simileXML

Originally submitted to PLaSMo on 2012-03-08 11:39:23

This is a verified version of the model named  LINTUL in this repository. The model is verified against the benchmark FST implmmentation. LINTUL assumes non-limiting conditions. See the "LINTUL" model entry in this repository for a description

Originally submitted to PLaSMo on 2011-02-23 00:08:23

"LINTUL simulates potential growth of a crop, i.e. its dry matter accumulation under ample supply of water and nutrients in a pest-, disease- and weed-free environment, under the prevailing weather conditions. The rate of dry matter accumulation is a function of irradiation and crop characteristics. The model makes use of the common observation that the crop growth rate under favourable conditions is proportional to the amount of light intercepted (Monteith, 1977). Dry matter production is, ...

sbgn model of signalling

Originally submitted to PLaSMo on 2012-03-05 11:53:41

SBGN model of glycolysis

Originally submitted to PLaSMo on 2012-03-05 11:43:15

Model outputs mRNA expression of PIF4/5 that is under control of the Pokhilko extended circadian clock. The first version (Model 2a in the supplementary file) has inhibition of PIFs from TOC1. The second version (Model 2c) has PIF activity promoted by LHY/CCA1 - this is currently the most accurate model when compared to data. Models shall be updated later to include PIF4/5 protein levels. Parameter values for this and other External Coincidence models found in supplementary file.Originally submitted ...

DALEC (Data Assimilation Linked Ecosystem Carbon) represents the C cycle with a simple box model of pools connected via fluxes. There are five pools: C content of foliage (Cf); woody stems and coarse roots (Cw) and fine roots (Cr); and of fresh leaf and fine root litter (Clitter) and soil organic matter (SOM) plus WD (CSOM/WD).  The fluxes among pools are based on the following assumptions: All C fixed during a day is either expended in autotrophic respiration or else allocated to one of three ...

"The CENTURY model is a general model of plant-soil nutrient cycling which is being used to simulate carbon and nutrient dynamics for different types of ecosystems including grasslands, agricultural lands, forests and savannas.  CENTURY is composed of a soil organic matter/ decomposition submodel, a water budget model, a grassland/crop submodel, a forest production submodel, and management and events scheduling functions. It computes the flow of carbon, nitrogen, phosphorus, and sulfur through ...

This is the representation of major parts of the central metabolism in monocotyledon plants. The information has been derived from the MetaCrop [2] database, a manually curated repository of high quality information concerning the metabolism of crop plants. This includes pathways, reactions, locations, transport processes, and moreOriginally submitted to PLaSMo on 2012-03-05 11:52:18

Validation Validated against original code running under GNU FORTRAN 95. Comments on numerical integration No integration needed. Comments on running the (Simile) model The variable "num errors" accumulates the number of times the ribulose bis-phosphate limited photosynthesis rate cannot be calculated. See the documentation dialogue for the Simile variable "jl_electron transport" for details.Additional AttributesOriginal Model: Language: FORTRAN 95 Author:Daniel P. Rasse File name of original ...

The first version of the model corresponds to the one published in Pokhilko et al Mol Syst Biol 2010, which is also presented on the Mol. Syst. Biol. website and was submitted to the Biomodels database. Note: minor errors in published supplementary information are documented in a file attached to version 1; the published SBML files are correct. The second version has some names slightly modified for compatibility with the SBSI platform. Both first and second versions have values of  "dawn" fixed ...

Model of the arabidopsis circadian clock obtained from the Bio-PEPA model. The model is based on Alexandra Pokhilko's 2010 deterministic model and includes a scaling factor omega to translate from continuous "concentrations" to discrete amounts. Light function is a smooth function switching between 0 and 1, and is parameterised in order to allow to automate experimentation with different light conditions and photoperiods.Related PublicationsMaria Luisa Guerriero, Alexandra Pokhilko, Aurora Piñas ...

Millar lab working model, extends the Arabidopsis clock model by incorporating multiple sites of inhibition of clock gene expression by TOC1. Model is included into submitted publication "Global Mapping at the Core of the Arabidopsis Circadian Clock Defines a Novel Network Structure of the Oscillator" with Paloma Mas Version 1 has two errors corrected in version 2. This private record is now superseded by the published version, which is public as PLM_70.Originally submitted to PLaSMo on 2011-12-29 ...

Alexandra Pokhilko's model of the Arabidopsis clock, private drafts created in preparation for publication (Mol. Syst. Biol.), or as working versions with various modifications after publication. The published model version is also in PlaSMo as PLM_64 here.

Originally submitted to PLaSMo on 2011-07-16 12:31:04

Validation. Validated against original implementation running under GNU FORTRAN 95. To allow the maximum flexiblity during validation the original FORTRAN code was modified slightly (note that no code lines were deleted). The code was run with high precision so that values were directly comparable with those in Simile even after hundreds of thousands of iterations. The values of all the variables in the original code were printed to the screen so that they could be checked against their Simile ...

A model of the circadian regulation of starch turnover, as published in Seaton, Ebenhoeh, Millar, Pokhilko, "Regulatory principles and experimental approaches to the circadian control of starch turnover",  J. Roy. Soc. Interface, 2013. This model is referred to as "Model Variant 3".Related PublicationsSeaton, Ebenhoeh, Millar, Pokhilko (2013). Regulatory principles and experimental approaches to the circadian control of starch turnover. Journal of the Royal Society Interface. Originally submitted ...

A model of the circadian regulation of starch turnover, as published in Seaton, Ebenhoeh, Millar, Pokhilko, "Regulatory principles and experimental approaches to the circadian control of starch turnover",  J. Roy. Soc. Interface, 2013. This model is referred to as "Model Variant 2".Related PublicationsSeaton, Ebenhoeh, Millar, Pokhilko (2013). Regulatory principles and experimental approaches to the circadian control of starch turnover. Journal of the Royal Society Interface. Originally submitted ...

A model of the circadian regulation of starch turnover, as published in Seaton, Ebenhoeh, Millar, Pokhilko, "Regulatory principles and experimental approaches to the circadian control of starch turnover",  J. Roy. Soc. Interface, 2013. This model is referred to as "Model Variant 1".Related PublicationsSeaton, Ebenhoeh, Millar, Pokhilko (2013). Regulatory principles and experimental approaches to the circadian control of starch turnover. Journal of the Royal Society Interface. Originally submitted ...



Originally submitted to PLaSMo on 2010-12-20 14:54:15

Submitter: BioData SynthSys

Investigation: Davey, Chris

Assays: AFRCtest2 - PLM_25, version 1

To calculate the phenological stage of the crop. Note the following definition: phase = the period between two phenological stages, ie. the phase sowing to emergence. This is a submodel of AFRC Wheat 2 model in Simile notation (the XML version will follow shortly). All variables and parameters that are inputs to the submodel are in the "inputs " submodel box, all variables changed by the submodel are outputted via the "outputs" submodel box. Euler integration with 1 day time steps.Related ...

This is a submodel of AFRC Wheat 2 model in Simile notation (the XML version will follow shortly). Reads and processes todays weather data. Calculates Penman evaporation and converts day/month/year to Julian day (allowing for year change and leap years). We acknowledge Mikhail Semenov for kindly allowing us to supply this Rothamsted weather data set with this model. Euler integration with 1 day time steps.Related PublicationsPorter J (1993). AFRCWHEAT2: A Model of the Growth and Development of ...

To return today's vernalising effect (see Weir,A.H. et al.,(1984).J.Agric.Sci.,Camb.,102,371-382). This is a submodel of AFRC Wheat 2 model in Simile notation (the XML version will follow shortly). All variables and parameters that are inputs to the submodel are in the "inputs " submodel box, all variables changed by the submodel are outputted via the "outputs" submodel box.Related PublicationsPorter J (1993). AFRCWHEAT2: A Model of the Growth and Development of Wheat Incorporating Responses to ...

To return Vapour pressure calculated from Wet and Dry Bulb Temperatures. This is a submodel of AFRC Wheat 2 model in Simile notation (the XML version will follow shortly).

Related Publications
Porter J (1993). AFRCWHEAT2: A Model of the Growth and Development of Wheat Incorporating Responses to Water and Nitrogen.. Eur. J. Agron. 2(2): 69-82..

Originally submitted to PLaSMo on 2011-02-04 15:55:57

To return daily thermal time with base TBASE. Thermal time for a day is calculated by splitting the 24 hour period into 8 * 3 hour periods whose relative contribution to thermal time for the day is based on a cosinusoidal variation in temperature between observed maximum and minimum values. See Weir,A.H. et al.,(1984).J.Agric.Sci.,Camb.,102,371-382. This is a submodel of AFRC Wheat 2 model in Simile notation (the XML version will follow shortly).     All variables and parameters that are inputs ...

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