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Research Paper

Designing novel cellulase systems through agent-based modeling and global sensitivity analysis

, &
Pages 243-253 | Received 08 Apr 2014, Accepted 08 May 2014, Published online: 15 May 2014

Figures & data

Figure 1. Diagram showing the steps of an ABM simulation.

Figure 1. Diagram showing the steps of an ABM simulation.

Figure 2. Number of iterations required for cellulose hydrolysis and sugar consumption for 200 independent simulations given bacteria cell density values ranging between 10 and 100 cells per simulation. Large variance was calculated at low cell densities.

Figure 2. Number of iterations required for cellulose hydrolysis and sugar consumption for 200 independent simulations given bacteria cell density values ranging between 10 and 100 cells per simulation. Large variance was calculated at low cell densities.

Figure 3. Variance of cellulose hydrolysis and sugar consumption over 200 iterations as a function of the bacteria cell density (number of cells) for the three different cellulase enzyme expression systems.

Figure 3. Variance of cellulose hydrolysis and sugar consumption over 200 iterations as a function of the bacteria cell density (number of cells) for the three different cellulase enzyme expression systems.

Table 2. The t test results comparing cellulase expression systems

Figure 4. Iterations required for changing ratios of exoglucanase and endoglucanase at constant β-glucosidase.

Figure 4. Iterations required for changing ratios of exoglucanase and endoglucanase at constant β-glucosidase.

Figure 5. First-order indices of the GSA for parameters listed in .

Figure 5. First-order indices of the GSA for parameters listed in Table 1.

Figure 6. Total effect indices of the GSA for parameters listed in .

Figure 6. Total effect indices of the GSA for parameters listed in Table 1.

Table 3. Number of articles published (as of January 2012) on topics related to improving a CBP

Table 1. ABM parameters, bounds, and descriptions

Supplemental material

Additional material

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