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计算毒理学方法在化学文库设计和高通量筛选命中验证中的应用。

Computational Toxicology Methods in Chemical Library Design and High-Throughput Screening Hit Validation.

机构信息

Department of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN, USA.

出版信息

Methods Mol Biol. 2025;2834:181-193. doi: 10.1007/978-1-0716-4003-6_9.

Abstract

The discovery of molecular toxicity in a clinical drug candidate can have a significant impact on both the cost and timeline of the drug discovery process. Early identification of potentially toxic compounds during screening library preparation or, alternatively, during the hit validation process is critical to ensure that valuable time and resources are not spent pursuing compounds that may possess a high propensity for human toxicity. This report focuses on the application of computational molecular filters, applied either pre- or post-screening, to identify and remove known reactive and/or potentially toxic compounds from consideration in drug discovery campaigns.

摘要

在临床候选药物中发现分子毒性会对药物发现过程的成本和时间产生重大影响。在筛选文库制备过程中或在命中验证过程中尽早识别潜在毒性化合物对于确保不浪费有价值的时间和资源来研究可能具有高人类毒性倾向的化合物至关重要。本报告重点介绍了计算分子筛选器的应用,无论是在筛选前还是筛选后,都可以从药物发现活动中识别和去除已知的反应性和/或潜在毒性化合物。

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