Predictions of Chromatography Methods by Chemical Structure Similarity to Accelerate High-Throughput Medicinal Chemistry

已完结 10 由 moko 发布于 2025/6/25 22:21:44

DOI:10.1021/acsmedchemlett.4c00145
作者：Jun Wang, Rose Yen, Armen G. Beck, Pankaj Aggarwal, May Kong, Michael Hayes, Salman Jabri, Thomas J. Greshock, Kanaka Hettiarachchi
文献类型：期刊论文
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American Chemical Society (ACS)

Abstract：We introduce a new workflow that relies heavily on chemical quantitative structure-retention relationship (QSRR) models to accelerate method development for micro/mini-scale high-throughput

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