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13th International Conference on Membrane Computing - MTA Sztaki

13th International Conference on Membrane Computing - MTA Sztaki

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T. Ahmed, G. DeLancy, A. Paun<br />

purpose of this study we will instead assume some ux functi<strong>on</strong>s and use the<br />

MetaPlab tool, Simulati<strong>on</strong> Plugin 2, in an eort to derive the ux-dynamics<br />

without needing to resort to a microscopic analysis of the MP systems.<br />

Substance Initial C<strong>on</strong>centrati<strong>on</strong> Molar Weight(gram)<br />

A 100 1<br />

B 100 1<br />

C 0.02 1<br />

Table 1. Descripti<strong>on</strong> of substances of our MP-model for case study<br />

Reacti<strong>on</strong>s Flux regulati<strong>on</strong> maps<br />

R 0:A−→ 2A F 0: 0.000002 * A * B * C<br />

R 1:A−→ B F 1: 0.00003 * B * C<br />

R 2:A−→ C F 2: 0.00004 * C * A<br />

R 3:B−→ λ F 3: 0.0005 * B<br />

R 4:C−→ λ F 4: 0.007 * C<br />

Table 2. Reacti<strong>on</strong>s and Flux regulati<strong>on</strong> functi<strong>on</strong>s for our model to case study.<br />

Table 2 shows the assumed reacti<strong>on</strong>s and corresp<strong>on</strong>ding ux regulati<strong>on</strong> maps.<br />

These functi<strong>on</strong>s are then used al<strong>on</strong>g with the initial c<strong>on</strong>centrati<strong>on</strong>s and molar<br />

weights in MetaPlab to c<strong>on</strong>struct a model to be used to help us ll out any<br />

other missing relevant informati<strong>on</strong> to be derived from what we know about our<br />

substances that we will need to successfully run Simulati<strong>on</strong> Plugin 2. Worth<br />

noting is that the mappings show the inputs and outputs in moles. Reacti<strong>on</strong>s<br />

R3 and R4 have inputs of substances B and C respectively, but neither produce<br />

any outputs that are used in the model. This explains both their lack of a known<br />

output (it is irrelevant to our research) and their positi<strong>on</strong>s <strong>on</strong> the model.<br />

A model was c<strong>on</strong>structed using MetaPlab where R0, R1, R2, R3, and R4 were<br />

designated as our reacti<strong>on</strong>s; A, B, and C, our substances; and F0, F1, F2, F3,<br />

and F4 our ux regulati<strong>on</strong> maps. For the c<strong>on</strong>structi<strong>on</strong> of this model we have no<br />

data about the time series, but do know that we can use MetaPlab to generate<br />

a time series based <strong>on</strong> the ux functi<strong>on</strong>s we have assumed. The mappings to<br />

and from the various nodes <strong>on</strong> the model represent the functi<strong>on</strong>s that regulate<br />

moving from <strong>on</strong>e node to another. For instance, we can see from the table above<br />

that F0 is dependent <strong>on</strong> the values from substances A, B, and C and as such<br />

there are mappings from A, B, and C to F0. Likewise, we can tell that R2 takes<br />

<strong>on</strong>e mole of substance A and c<strong>on</strong>verts it into <strong>on</strong>e mole of substance C. The I/O<br />

gates show where a reacti<strong>on</strong>'s products leave the model.<br />

72

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