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Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites

机译:通过Pan-Dataset密度分析方法确定的部分占用粘合剂提供了新的化学机会并揭示了神秘的结合位点

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摘要

Crystallographic fragment screening uses low molecular weight compounds to probe the protein surface and although individual protein-fragment interactions are high quality, fragments commonly bind at low occupancy, historically making identification difficult. However, our new Pan-Dataset Density Analysis method readily identifies binders missed by conventional analysis: for fragment screening data of lysine-specific demethylase 4D (KDM4D), the hit rate increased from 0.9% to 10.6%. Previously unidentified fragments reveal multiple binding sites and demonstrate: the versatility of crystallographic fragment screening; that surprisingly large conformational changes are possible in crystals; and that low crystallographic occupancy does not by itself reflect a protein-ligand complex's significance.
机译:晶体学片段筛选使用低分子量化合物探测蛋白质表面,尽管单个蛋白质片段相互作用是高质量的,但片段通常以低占有率结合,历史上使鉴定变得困难。但是,我们的新Pan-Dataset密度分析方法可以轻松识别常规分析所遗漏的粘合剂:对于赖氨酸特异性脱甲基酶4D(KDM4D)的片段筛选数据,命中率从0.9%增加到10.6%。先前未鉴定的片段揭示了多个结合位点,并证明:晶体学片段筛选的多功能性;晶体中可能发生令人惊讶的大构象变化;而且低晶体学占有率本身并不能反映蛋白质-配体复合物的重要性。

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