Team:TU-Eindhoven/TimeKill

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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 {{:Team:TU-Eindhoven/Template:Ref | id=regoesModel | author=Roland R.Regoes et al. | title=Pharmacodynamic Functions: a Multiparameter Approach to the Design of Antibiotic Treatment Regimens | journal=Antimicrobial Agents and Chemetherapy | edition=48 | pages=3670-3676 | year=2004 }}.
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==Bacteria Growth in Tumor==
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It is validated that bacteria grow enormously in tumor zone than the other human tissues {{:Team:TU-Eindhoven/Template:Ref | id=bacteriaDist | author=Minoru Fujimori | title=Bifidobacterium longum as a gene delivery system for cancer gene therapy | journal=Gene Therapy and Molecular Biology | edition=6 | pages=195-200 | year=2001}}
==References==
==References==

Revision as of 13:25, 23 September 2013

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 is 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)

References