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仅通过蛋白质晶体学进行片段筛选。

Fragment screening purely with protein crystallography.

作者信息

Spurlino John C

机构信息

Structural Biology, Johnson & Johnson Pharmaceutical Research and Development, LLC, Pennsylvania, USA.

出版信息

Methods Enzymol. 2011;493:321-56. doi: 10.1016/B978-0-12-381274-2.00013-3.

Abstract

We screen for fragments using X-ray crystallography as the primary screen. There are several unique features in our screening methodology. As a result of using X-ray diffraction as our primary screen, we do not use affinity data to bias our data collection or design in progressing hits toward a lead. Another difference in our methodology is that we choose to group our compounds as shape-similar groups. We also screen in a first pass mode without recollecting failed diffraction experiments. This method of screening results in an average loss of 5-10% of the data sets for the primary screen. The remaining data sets offer enough information to successfully advance three to five scaffolds into the secondary library design. We do not deconvolute the wells which show evidence of fragment binding by repeating the soaks with single compounds. Instead, evaluation of the possible fragments is done by refinement and examination of the resulting electron density difference maps. These methods allow us to complete the initial screen of a primary library of fragments in less than 3 months. A secondary library of fragments is designed using the base structures with electron density envelopes from the successful fragment hits of the primary library. Chemistry is chosen to probe interactions with the target and push the observed binding pocket limits in order to more clearly define the plasticity and range of possible extensions to the scaffolds chosen. The secondary library compounds are also screened in shape-similar groupings of five that are chosen without the knowledge of binding affinity. Our approach is a completely orthogonal one from traditional high-throughput screening in finding novel compounds.

摘要

我们使用X射线晶体学作为主要筛选手段来筛选片段。我们的筛选方法有几个独特之处。由于使用X射线衍射作为主要筛选手段,我们在推进命中物向先导物发展的过程中,不使用亲和力数据来偏向我们的数据收集或设计。我们方法的另一个不同之处在于,我们选择将化合物按形状相似的组进行分类。我们还以首次筛选模式进行筛选,不重新收集失败的衍射实验数据。这种筛选方法导致初级筛选中平均有5 - 10%的数据集丢失。其余的数据集提供了足够的信息,能成功地将三到五个骨架推进到二级文库设计中。对于显示出片段结合证据的孔,我们不通过用单一化合物重复浸泡来进行反卷积。相反,通过对所得电子密度差图的精修和检查来评估可能的片段。这些方法使我们能够在不到3个月的时间内完成初级片段文库的初始筛选。使用来自初级文库成功片段命中物的具有电子密度包络的基础结构来设计二级片段文库。选择化学方法来探测与靶标的相互作用,并推动观察到的结合口袋极限,以便更清楚地定义所选骨架可能延伸的可塑性和范围。二级文库化合物也按五个形状相似的组进行筛选,筛选时不了解结合亲和力。在寻找新型化合物方面,我们的方法与传统的高通量筛选完全不同。

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