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Team:TU-Eindhoven/TimeKill
From 2013.igem.org
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| - | \Psi(\alpha)=\Psi_{max} - \frac{(\Psi_{max}-\Psi_{min})(\alpha/zMIC)^{\kappa}}{(\alpha/zMIC)^{\kappa}-\Psi_{min}/\Psi_{max}} | + | \Psi(\alpha)=\Psi_{max} - \frac{(\Psi_{max}-\Psi_{min})(\alpha/zMIC)^{\kappa}}{(\alpha/zMIC)^{\kappa}-\Psi_{min}/\Psi_{max}}\\ |
| + | \frac{dx}{x}=\Psi(\alpha(t))dt | ||
}$$</html> | }$$</html> | ||
Revision as of 14:19, 23 September 2013
Contents |
Time-kill Behavior
By investigating into the time-kill behavior of bacteria, we will be able to predict when the bacteria die out and therefore able to decide the dose and frequency of administration. In this part we used the model proposed by Roland R.Regoes regoesModelRoland R.Regoes et al., Pharmacodynamic Functions: a Multiparameter Approach to the Design of Antibiotic Treatment Regimens. Antimicrobial Agents and Chemetherapy 48, 3670-3676 (2004).
Bacteria Growth in Tumor
It has been validated that bacteria grow enormously in tumor zone than the other human tissues bacteriaDistMinoru Fujimori, Bifidobacterium longum as a gene delivery system for cancer gene therapy. Gene Therapy and Molecular Biology 6, 195-200 (2001). From their study, the bacteria growth rate in tumor zone is estimated.
Time-kill Model
Following the model of Reagoes regoesModel, the following equation set are implemented in the model: $$ \eqalignno{ \Psi(\alpha)=\Psi_{max} - \frac{(\Psi_{max}-\Psi_{min})(\alpha/zMIC)^{\kappa}}{(\alpha/zMIC)^{\kappa}-\Psi_{min}/\Psi_{max}}\\ \frac{dx}{x}=\Psi(\alpha(t))dt }$$
Ganciclovir Analog
Result
References
