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Compound pathway model to capture SAR progression: Comparison of activity cliff-dependent and -independent pathways

机译:捕获SAR进展的复合途径模型:活动性悬崖依赖性和非依赖性途径的比较

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摘要

A compound pathway model is introduced to monitor SAR progression in compound data sets. Pathways are formed by sequences of structurally analogous compounds with stepwise increasing potency that ultimately yield highly potent compounds. Hence, the model was designed to mimic compound optimization efforts. Different pathway categories were defined. Pathways originating from any active compound in a data set were systematically identified including compounds forming activity cliffs. The relative frequency of activity cliff-dependent and -independent pathways was determined and compared. In 23 of 39 different compound data sets that qualified for our analysis, significant differences in the relative frequency of activity cliff-dependent and -independent pathways were observed. In 17 of these 23 data sets, activity cliff-dependent pathways occurred with higher relative frequency than cliff-independent pathways. In addition, pathways originating from the majority of activity cliff compounds displayed desired SAR progression, reflecting SAR information gain associated with activity cliffs.
机译:引入了一种复合途径模型来监测复合数据集中的SAR进展。途径是由结构相似的化合物序列形成的,这些化合物具有逐步增加的效价,最终产生高效的化合物。因此,该模型旨在模拟化合物优化工作。定义了不同的途径类别。系统地鉴定了源自数据集中任何活性化合物的途径,包括形成活性悬崖的化合物。确定并比较了活动悬崖依赖性和非依赖性途径的相对频率。在符合我们分析条件的39个不同化合物数据集中的23个中,观察到了活动悬崖依赖性和非依赖性途径相对频率的显着差异。在这23个数据集中的17个数据集中,活动性悬崖依赖性途径的发生频率高于非悬崖依赖性途径。此外,源自大多数活动悬崖化合物的途径显示出所需的SAR进程,反映了与活动悬崖相关的SAR信息增益。

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