Kenny Peter W
Berwick-on-Sea , North Coast Road, Blanchisseuse, Saint George, Trinidad and Tobago.
J Chem Inf Model. 2017 Nov 27;57(11):2640-2645. doi: 10.1021/acs.jcim.7b00313. Epub 2017 Nov 7.
A recent editorial (Aldrich et al. The Ecstasy and Agony of Assay Interference Compounds . J. Chem. Inf.
2017 , 57 , 387 - 390 ) is examined critically. When assessing assay hits from screening, it is important to draw a distinction between false positives, that have no effect on target function, and compounds that affect target function through an undesirable mechanism of action. Observation of frequent-hitter behavior for a compound should be regarded as circumstantial evidence, rather than definitive proof, that the compound has interfered with assay readouts or acted through an undesirable mechanism of action. The applicability domain of published (Baell and Holloway J. Med. Chem. 2010 , 53 , 2719 - 2740 ) Pan Assay INterference compoundS (PAINS) filters is limited by the narrow scope of the proprietary data used to derive them. It is suggested that journal guidelines for authors should not prescribe, as those for the Journal of Medicinal Chemistry appear to do, that activity in assays reported for compounds that match PAINS filters be treated any differently from that for compounds that do not match PAINS filters. It is argued that use of models based on proprietary data in the evaluation of manuscripts would contradict the editorial policy of any journal that deemed the use of proprietary data to be unacceptable in modeling studies.
对最近一篇社论(奥尔德里奇等人。分析干扰化合物的狂喜与痛苦。《化学信息与建模杂志》。2017年,57卷,387 - 390页)进行了批判性审视。在评估筛选得到的分析命中物时,区分对靶标功能无影响的假阳性和通过不良作用机制影响靶标功能的化合物非常重要。对于一种化合物频繁出现命中行为的观察应被视为该化合物干扰了分析读数或通过不良作用机制起作用的间接证据,而非确凿证据。已发表的(贝尔和霍洛韦。《药物化学杂志》。2010年,53卷,2719 - 2740页)泛分析干扰化合物(PAINS)筛选标准的适用范围受到用于推导它们的专有数据范围狭窄的限制。建议期刊针对作者的指南不应像《药物化学杂志》的指南那样规定,对于符合PAINS筛选标准的化合物在分析中所报告的活性与不符合PAINS筛选标准的化合物的活性区别对待。有人认为,在稿件评估中使用基于专有数据的模型将与任何认为在建模研究中使用专有数据不可接受的期刊的编辑政策相矛盾。