From 8c4d96bc2a0eacc98607cd9bfa6bdadcac23839c Mon Sep 17 00:00:00 2001 From: Bryan Rumsey Date: Tue, 16 Aug 2022 16:27:20 -0400 Subject: [PATCH 1/2] Updated version to 2.4.9. --- __version__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/__version__.py b/__version__.py index b6b2f10e76..ff0dd475bb 100644 --- a/__version__.py +++ b/__version__.py @@ -5,7 +5,7 @@ # @website https://github.com/stochss/stochss # ============================================================================= -__version__ = '2.4.8' +__version__ = '2.4.9' __title__ = 'StochSS' __description__ = 'StochSS is an integrated development environment (IDE) \ for simulation of biochemical networks.' From e8d7620e9c42e7b2cea41090fd6edd525cb40299 Mon Sep 17 00:00:00 2001 From: Bryan Rumsey Date: Tue, 16 Aug 2022 16:29:49 -0400 Subject: [PATCH 2/2] Fixed public models. --- public_models/Degradation/Degradation.mdl | 2 +- public_models/Dimerization/Dimerization.mdl | 4 ++-- .../SIR Epidemic Model.mdl | 2 +- .../GeneRegulatoryNetwork1.smdl | 2 +- .../GeneRegulatoryNetwork2.smdl | 2 +- .../Lotkavolterra_Oscillator.mdl | 2 +- .../Michaelis_Menten/Michaelis_Menten.mdl | 6 ++--- public_models/Opioid/Opioid.mdl | 24 +++++++++---------- public_models/Oregonator/Oregonator.mdl | 8 +++---- .../PolarizationInYeast.smdl | 2 +- public_models/Schlogl/Schlogl.mdl | 2 +- public_models/Toggle_Switch/Toggle_Switch.mdl | 4 ++-- .../Tyson_Oscillator/Tyson_Oscillator.mdl | 6 ++--- .../Vilar_Oscillator/Vilar_Oscillator.mdl | 2 +- 14 files changed, 34 insertions(+), 34 deletions(-) diff --git a/public_models/Degradation/Degradation.mdl b/public_models/Degradation/Degradation.mdl index 2fc93b5b86..f56b40c380 100644 --- a/public_models/Degradation/Degradation.mdl +++ b/public_models/Degradation/Degradation.mdl @@ -42,7 +42,7 @@ "name": "reaction", "reactionType": "destruction", "summary": "protein \\rightarrow \\emptyset", - "massaction": false, + "massaction": true, "propensity": "", "annotation": "", "subdomains": [ diff --git a/public_models/Dimerization/Dimerization.mdl b/public_models/Dimerization/Dimerization.mdl index 8c49564c0c..9dc6434554 100644 --- a/public_models/Dimerization/Dimerization.mdl +++ b/public_models/Dimerization/Dimerization.mdl @@ -63,7 +63,7 @@ "name": "r_creation", "reactionType": "dimerization", "summary": "2Monomer \\rightarrow Dimer", - "massaction": false, + "massaction": true, "propensity": "", "annotation": "", "subdomains": [ @@ -122,7 +122,7 @@ "name": "r_dissociation", "reactionType": "custom-massaction", "summary": "Dimer \\rightarrow 2Monomer", - "massaction": false, + "massaction": true, "propensity": "", "annotation": "", "subdomains": [ diff --git a/public_models/Example SIR Epidemic Project.proj/SIR Epidemic Model.wkgp/SIR Epidemic Model.mdl b/public_models/Example SIR Epidemic Project.proj/SIR Epidemic Model.wkgp/SIR Epidemic Model.mdl index 320f352f31..e7f666dfd0 100644 --- a/public_models/Example SIR Epidemic Project.proj/SIR Epidemic Model.wkgp/SIR Epidemic Model.mdl +++ b/public_models/Example SIR Epidemic Project.proj/SIR Epidemic Model.wkgp/SIR Epidemic Model.mdl @@ -1 +1 @@ -{"is_spatial":false,"defaultID":8,"defaultMode":"discrete","annotation":"The SIR model is a simple mathematical model of epidemics. An epidemic is when the number of people infected with a disease is increasing in a population. S, I, and R stand for:\n\nS - susceptible: These are people that are not infected with the disease yet. However, they are not immune to it either and so they can become infected with the disease in the future.\nI - infected or infectious: These are people that are infected with the disease and can transmit the disease to susceptible people.\nR - recovered: These are people who have recovered from the disease and are immune, so they can no longer be infected with the disease.\n\nThis model is reasonably predictive for infectious diseases that are transmitted from human to human, and where recovery confers lasting resistance, such as measles, mumps and rubella.\nThese variables (S, I, and R) represent the number of people in each compartment at a particular time. To represent that the number of susceptible, infectious and removed individuals may vary over time (even if the total population size remains constant), we make the precise numbers a function of t (time): S(t), I(t) and R(t). For a specific disease in a specific population, these functions may be worked out in order to predict possible outbreaks and bring them under control.\nAs implied by the variable function of t, the model is dynamic in that the numbers in each compartment may fluctuate over time. The importance of this dynamic aspect is most obvious in an endemic disease with a short infectious period, such as measles in the UK prior to the introduction of a vaccine in 1968. Such diseases tend to occur in cycles of outbreaks due to the variation in number of susceptibles (S(t)) over time. During an epidemic, the number of susceptible individuals falls rapidly as more of them are infected and thus enter the infectious and removed compartments. The disease cannot break out again until the number of susceptibles has built back up, e.g. as a result of offspring being born into the susceptible compartment.\nEach member of the population typically progresses from susceptible to infectious to recovered.","modelSettings":{"endSim":20,"timeStep":0.05,"volume":1},"meshSettings":{"count":2},"species":[{"compID":1,"name":"Susceptible","value":999,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial population of a species that are\n susceptible to infection\n","diffusionCoeff":0,"subdomains":["subdomain 1:","subdomain 2:"]},{"compID":2,"name":"Infected","value":1,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial population of a species that are infected\n","diffusionCoeff":0,"subdomains":["subdomain 1:","subdomain 2:"]},{"compID":3,"name":"Recovered","value":0,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial population of a species that have recovered from infection\n","diffusionCoeff":0,"subdomains":["subdomain 1:","subdomain 2:"]}],"initialConditions":[],"parameters":[{"compID":4,"name":"beta","expression":"0.0083","annotation":"Rate at which a Susceptible species becomes infected\n"},{"compID":5,"name":"gamma","expression":"0.3","annotation":"Rate at which an Infected species recovers from the infection.\n\n"}],"reactions":[{"compID":6,"name":"r1","reactionType":"custom-massaction","summary":"Susceptible+Infected \\rightarrow 2Infected","massaction":true,"propensity":"","annotation":"","subdomains":["subdomain 1:","subdomain 2:"],"rate":{"compID":4,"name":"beta","expression":"8.3","annotation":""},"reactants":[{"ratio":1,"specie":{"compID":1,"name":"Susceptible","value":999,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial population of a species that are\n susceptible to infection\n","diffusionCoeff":0,"subdomains":["subdomain 1:","subdomain 2:"]}},{"ratio":1,"specie":{"compID":2,"name":"Infected","value":1,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial population of a species that are infected\n","diffusionCoeff":0,"subdomains":["subdomain 1:","subdomain 2:"]}}],"products":[{"ratio":2,"specie":{"compID":2,"name":"Infected","value":1,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial population of a species that are infected\n","diffusionCoeff":0,"subdomains":["subdomain 1:","subdomain 2:"]}}]},{"compID":7,"name":"r2","reactionType":"change","summary":"Infected \\rightarrow Recovered","massaction":false,"propensity":"","annotation":"","subdomains":["subdomain 1:","subdomain 2:"],"rate":{"compID":5,"name":"gamma","expression":"0.3","annotation":""},"reactants":[{"ratio":1,"specie":{"compID":2,"name":"Infected","value":1,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial population of a species that are infected\n","diffusionCoeff":0,"subdomains":["subdomain 1:","subdomain 2:"]}}],"products":[{"ratio":1,"specie":{"compID":3,"name":"Recovered","value":0,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial population of a species that have recovered from infection\n","diffusionCoeff":0,"subdomains":["subdomain 1:","subdomain 2:"]}}]}],"rules":[],"eventsCollection":[],"functionDefinitions":[]} \ No newline at end of file +{"is_spatial":false,"defaultID":8,"defaultMode":"discrete","annotation":"The SIR model is a simple mathematical model of epidemics. 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To represent that the number of susceptible, infectious and removed individuals may vary over time (even if the total population size remains constant), we make the precise numbers a function of t (time): S(t), I(t) and R(t). For a specific disease in a specific population, these functions may be worked out in order to predict possible outbreaks and bring them under control.\nAs implied by the variable function of t, the model is dynamic in that the numbers in each compartment may fluctuate over time. The importance of this dynamic aspect is most obvious in an endemic disease with a short infectious period, such as measles in the UK prior to the introduction of a vaccine in 1968. Such diseases tend to occur in cycles of outbreaks due to the variation in number of susceptibles (S(t)) over time. During an epidemic, the number of susceptible individuals falls rapidly as more of them are infected and thus enter the infectious and removed compartments. The disease cannot break out again until the number of susceptibles has built back up, e.g. as a result of offspring being born into the susceptible compartment.\nEach member of the population typically progresses from susceptible to infectious to recovered.","modelSettings":{"endSim":20,"timeStep":0.05,"volume":1},"meshSettings":{"count":2},"species":[{"compID":1,"name":"Susceptible","value":999,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial population of a species that are\n susceptible to infection\n","diffusionCoeff":0,"subdomains":["subdomain 1:","subdomain 2:"]},{"compID":2,"name":"Infected","value":1,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial population of a species that are infected\n","diffusionCoeff":0,"subdomains":["subdomain 1:","subdomain 2:"]},{"compID":3,"name":"Recovered","value":0,"mode":"discrete","switchTol":0.03,"switchMin":100,"isSwitchTol":true,"annotation":"Initial 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