How polypharmacologic is each chemogenomics library?

Eric Ni, Eehjoe Kwon, Lauren M Young, Klara Felsovalyi, Jennifer Fuller, Timothy Cardozo
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引用次数: 3

Abstract

Aim: High-throughput phenotypic screens have emerged as a promising avenue for small-molecule drug discovery. The challenge faced in high-throughput phenotypic screens is target deconvolution once a small molecule hit is identified. Chemogenomics libraries have emerged as an important tool for meeting this challenge. Here, we investigate their target-specificity by deriving a 'polypharmacology index' for broad chemogenomics screening libraries.

Methods: All known targets of all the compounds in each library were plotted as a histogram and fitted to a Boltzmann distribution, whose linearized slope is indicative of the overall polypharmacology of the library.

Results & conclusion: Comparison of libraries clearly distinguished the most target-specific library, which might be assumed to be more useful for target deconvolution in a phenotypic screen.

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每个化学基因组文库的药理成分有多丰富?
目的:高通量表型筛选已经成为小分子药物发现的一个有前途的途径。在高通量表型筛选中所面临的挑战是,一旦确定了小分子命中,靶标反褶积。化学基因组学文库已成为应对这一挑战的重要工具。在这里,我们通过推导广泛的化学基因组学筛选文库的“多药理学指数”来研究它们的靶标特异性。方法:将每个文库中所有化合物的已知靶点绘制为直方图,并拟合为玻尔兹曼分布,其线性化斜率指示文库的整体多药理学。结果与结论:文库的比较清楚地区分出最具目标特异性的文库,这可能被认为对表型筛选中的目标反褶积更有用。
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