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COMPUTER-AIDED DRUG DESIGN/DISCOVERY FOR CHAGAS DISEASE

COMPUTER-AIDED DRUG DESIGN/DISCOVERY FOR CHAGAS DISEASE
针对恰加斯病的计算机辅助药物设计/发现
批准号:
6268159
负责人:
FRED E COHEN
金额:
$13.29万
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:
1998-05-01 至 1999-04-30

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中文摘要
翻译
一个开发治疗T.克鲁齐 寄生虫负责恰加斯病,提出。 Cruzain,a 半胱氨酸蛋白酶被鉴定为基于结构的药物的靶点 探索计划 Cruzain的三维结构模型 通过与已知结构的其它半胱氨酸蛋白酶的同源性构建, 最近确定的cruzain的x射线结构将被用作模板 对于精细化学品目录的计算机筛选, 大约7万种可购买的小分子。 本发明中选择的化合物 基于计算机的屏幕将通过实验来表征。 我们预计 2-10%的计算机选择的抑制剂将被激活 在实验中,该酶的浓度小于100 μ M。 我们已经鉴定出cruzain抑制剂在2-4 μ M时有活性, 浓度的 自由能微扰计算将用于 帮助合成化学家开发更有活性的化合物。 有的会 基于从计算机数据库中导出的非肽线索 搜索,而其他将是纳摩尔机制的类似物 抑制剂Z-Phe-Arg-FMK(Z=苄氧羰基,FMK =氟甲基酮), 已经被改变以消除肽特征。 密切互动 分子生物学、结构生物学、合成化学和 计算化学将用于开发基于结构的药物 设计周期
英文摘要
A program for the development of new agents to treat T. Cruzi, the parasite responsible for Chagas' Disease, is presented. Cruzain, a cysteine protease is identified as a target for a structure based drug discovery program. Models of the three-dimensional structure of cruzain built by homology to other cysteine proteases of known structure and the recently determined x-ray structure of cruzain will be used as a template for the in compuo screening of the fine chemicals directory, a data base of about 70,000 purchaseable small molecules. Compounds selected in this computer based screen will be characterized experimentally. We expect that 2-10% of the computer selected inhibitors will be active experimentally against the enzyme at concentrations less than 100 microM. Already, we have identified cruzain inhibitors active at 2-4 microM concentrations. Free energy perturbation calculations will be used to help the synthetic chemists develop more active compounds. Some will be based on the non-peptidic leads derived from the computer data base searches, while others will be analogs of the nanomolar mechanistic inhibitor Z-Phe-Arg-FMK (Z= carbobenzoxy, FMK = fluoromethyl ketone) that have been altered to eliminate peptide character. A close interaction between molecular biology, structural biology, synthetic chemistry and computational chemistry will be used to exploit a structure based drug design cycle.
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