NOVEL ANTITUBERCULAR AGENTS VIA COMBINATORIAL CHEMISTRY
NOVEL ANTITUBERCULAR AGENTS VIA COMBINATORIAL CHEMISTRY
批准号:
2717407
负责人:
KIRK MCMILLAN
金额:
$10.0万
依托单位国家:
美国
项目类别:
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-07-01 至 1998-12-31
中文摘要
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英文摘要
Tuberculosis is the leading cause of global mortality by an infectious
disease, account for over 3 million deaths. The rate of infection is an
estimated 8 million individuals per year, with 21,337 cases diagnosed in
the United States in 1996 (CDC). Chemotherapy had great diminished the
incidence of this disease in industrialized nations. The emergence of
multidrug resistant strains of Mycobacterium tuberculosis and HIV-infected
individuals with secondary infections of tuberculosis are having a
worldwide impact on the epidemiology of these infectious agents.
Mycobacteria possess remarkable intrinsic resistance to antimicrobial
agents mediated by their unique cell wall composition. Treatment of
tuberculosis requires the administration of multiple agents for months,
which affects patient compliance, and ultimately the development of drug
resistance. The CDC reports that greater than or equal to 75 percent of
tuberculosis cases diagnosed in the United States (1996) were resistant to
at least one drug. Combinatorial chemistry, in conjunction with high-
throughput screening provides a new opportunity for drug discovery in this
increasing important therapeutic area. A novel reporter assay for the
identification of inhibitors of mycolic acid biosynthesis, an essential
component of the mycobacterial cell wall has been developed. This assay
will be used in a screen of an encoded combinatorial chemical collection,
representing 1.6 million compounds.
Proposed commercial applications:
The goal of this research is the identification of novel antitubercular
agents that act by inhibiting cell biosynthesis. A novel high-throughput
assays has been development for screening large combinatorial chemical
libraries comprising 1.6 million compounds. The development of a clinical,
candidate resulting from the optimization of lead structures is the
potential commercial application of this project.
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