| Summary: | 碩士 === 國立清華大學 === 資訊系統與應用研究所 === 99 === Drug resistance has now posed more severe and emergent threats to human
health and infectious disease treatment. However, the wet-lab approaches alone to
counter drug resistance have so far still achieved limited success in understanding the
underlying mechanisms and pathways of drug resistance.
Our approach applied a heuristic search algorithm in order to extract drug
response pathways from protein-protein interaction networks and used a random walk
model to identify the potential co-target for effective antibacterial drugs. In this paper,
we chose one of the killer infectious diseases, etiological organisms Mycobacterium
tuberculosis (Mtb) as our test bed that was treated with Isoniazid (INH) and
Ethionamide (ETA). We discovered that both of the genes in INH and ETA networks
would facilitate survival related to triggering the processes in mycobactin synthesis,
fatty acid synthesis/metabolism, and NADH-related processes. Efflux pumps appear
to be the major mechanisms of resistance under INH and ETA drug treatment in Mtb.
The results showed that the acetyl-CoA carboxylase is believed to be involved in fatty
acid and mycolic acid biosynthesis and is strongly associated with the drug resistance
mechanisms. Our analysis is consistent with the recent experimental findings and also
found glycine-rich membrane, Adenosine triphosphate energy and cell wall-related
processes to be potential co-targets for countering drug resistance.
III
keywords ： Drug resistance, A* search, Co-target, Random walk,
Mycobacterium Tuberculosis
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