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一项生物安全四级(BSL-4)高通量筛选鉴定出了尼帕病毒的磺胺类抑制剂。

A BSL-4 high-throughput screen identifies sulfonamide inhibitors of Nipah virus.

作者信息

Tigabu Bersabeh, Rasmussen Lynn, White E Lucile, Tower Nichole, Saeed Mohammad, Bukreyev Alexander, Rockx Barry, LeDuc James W, Noah James W

机构信息

1 Department of Microbiology & Immunology, Galveston National Laboratory, The University of Texas Medical Branch , Galveston, Texas.

出版信息

Assay Drug Dev Technol. 2014 Apr;12(3):155-61. doi: 10.1089/adt.2013.567.

Abstract

Nipah virus is a biosafety level 4 (BSL-4) pathogen that causes severe respiratory illness and encephalitis in humans. To identify novel small molecules that target Nipah virus replication as potential therapeutics, Southern Research Institute and Galveston National Laboratory jointly developed an automated high-throughput screening platform that is capable of testing 10,000 compounds per day within BSL-4 biocontainment. Using this platform, we screened a 10,080-compound library using a cell-based, high-throughput screen for compounds that inhibited the virus-induced cytopathic effect. From this pilot effort, 23 compounds were identified with EC50 values ranging from 3.9 to 20.0 μM and selectivities >10. Three sulfonamide compounds with EC50 values <12 μM were further characterized for their point of intervention in the viral replication cycle and for broad antiviral efficacy. Development of HTS capability under BSL-4 containment changes the paradigm for drug discovery for highly pathogenic agents because this platform can be readily modified to identify prophylactic and postexposure therapeutic candidates against other BSL-4 pathogens, particularly Ebola, Marburg, and Lassa viruses.

摘要

尼帕病毒是一种生物安全4级(BSL-4)病原体,可导致人类严重的呼吸道疾病和脑炎。为了鉴定作为潜在治疗药物靶向尼帕病毒复制的新型小分子,南方研究所和加尔维斯顿国家实验室联合开发了一个自动化高通量筛选平台,该平台能够在BSL-4生物安全防护条件下每天检测10000种化合物。利用该平台,我们通过基于细胞的高通量筛选,对一个包含10080种化合物的文库进行筛选,以寻找能抑制病毒诱导的细胞病变效应的化合物。从这项初步工作中,鉴定出23种化合物,其半数有效浓度(EC50)值在3.9至20.0 μM之间,选择性大于10。对三种EC50值小于12 μM的磺酰胺化合物在病毒复制周期中的作用位点以及广泛的抗病毒效力进行了进一步表征。在BSL-4防护条件下开发高通量筛选能力改变了针对高致病性病原体的药物发现模式,因为该平台可以很容易地进行修改,以鉴定针对其他BSL-4病原体,特别是埃博拉病毒、马尔堡病毒和拉沙病毒的预防性和暴露后治疗候选药物。

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