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用光反应性片段药效团绘制蛋白质结合位点

Mapping protein binding sites by photoreactive fragment pharmacophores.

作者信息

Ábrányi-Balogh Péter, Bajusz Dávid, Orgován Zoltán, Keeley Aaron B, Petri László, Péczka Nikolett, Szalai Tibor Viktor, Pálfy Gyula, Gadanecz Márton, Grant Emma K, Imre Tímea, Takács Tamás, Ranđelović Ivan, Baranyi Marcell, Marton András, Schlosser Gitta, Ashraf Qirat F, de Araujo Elvin D, Karancsi Tamás, Buday László, Tóvári József, Perczel András, Bush Jacob T, Keserű György M

机构信息

Medicinal Chemistry Research Group, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.

National Drug Research and Development Laboratory, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.

出版信息

Commun Chem. 2024 Jul 31;7(1):168. doi: 10.1038/s42004-024-01252-w.

Abstract

Fragment screening is a popular strategy of generating viable chemical starting points especially for challenging targets. Although fragments provide a better coverage of chemical space and they have typically higher chance of binding, their weak affinity necessitates highly sensitive biophysical assays. Here, we introduce a screening concept that combines evolutionary optimized fragment pharmacophores with the use of a photoaffinity handle that enables high hit rates by LC-MS-based detection. The sensitivity of our screening protocol was further improved by a target-conjugated photocatalyst. We have designed, synthesized, and screened 100 diazirine-tagged fragments against three benchmark and three therapeutically relevant protein targets of different tractability. Our therapeutic targets included a conventional enzyme, the first bromodomain of BRD4, a protein-protein interaction represented by the oncogenic KRas protein, and the yet unliganded N-terminal domain of the STAT5B transcription factor. We have discovered several fragment hits against all three targets and identified their binding sites via enzymatic digestion, structural studies and modeling. Our results revealed that this protocol outperforms screening traditional fully functionalized and photoaffinity fragments in better exploration of the available binding sites and higher hit rates observed for even difficult targets.

摘要

片段筛选是一种常用策略,尤其适用于针对具有挑战性的靶点生成可行的化学起始点。尽管片段能更好地覆盖化学空间,且通常具有更高的结合几率,但它们较弱的亲和力需要高度灵敏的生物物理检测方法。在此,我们引入一种筛选概念,即将经过进化优化的片段药效团与光亲和手柄的使用相结合,通过基于液相色谱-质谱的检测实现高命中率。我们的筛选方案的灵敏度通过一种与靶点偶联的光催化剂得到进一步提高。我们设计、合成并筛选了100个带有重氮丙啶标签的片段,针对三个基准靶点以及三个具有不同可处理性的治疗相关蛋白靶点。我们的治疗靶点包括一种传统酶、BRD4的首个溴结构域、由致癌性KRas蛋白代表的蛋白-蛋白相互作用,以及尚未有配体的STAT5B转录因子的N端结构域。我们发现了针对所有三个靶点的多个片段命中物,并通过酶切、结构研究和建模确定了它们的结合位点。我们的结果表明,该方案在更好地探索可用结合位点以及对即使是困难靶点也能观察到更高的命中率方面,优于筛选传统的完全功能化片段和光亲和片段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/100d/11292009/a3e9a8755949/42004_2024_1252_Fig1_HTML.jpg

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