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利用 SPR 生物传感器对具有挑战性的药物靶点进行片段文库筛选的多重实验策略。

Multiplexed experimental strategies for fragment library screening against challenging drug targets using SPR biosensors.

机构信息

Department of Chemistry - BMC, Uppsala University, Uppsala, Sweden; Beactica Therapeutics AB, Virdings allé 2, Uppsala, Sweden.

Vernalis (R&D) Ltd., Granta Park, Great Abington, Cambridge, United Kingdom; YSBL, Department of Chemistry, University of York, York, United Kingdom.

出版信息

SLAS Discov. 2024 Jan;29(1):40-51. doi: 10.1016/j.slasd.2023.09.001. Epub 2023 Sep 14.

Abstract

Surface plasmon resonance (SPR) biosensor methods are ideally suited for fragment-based lead discovery.  However, generally applicable experimental procedures and detailed protocols are lacking, especially for structurally or physico-chemically challenging targets or when tool compounds are not available. Success depends on accounting for the features of both the target and the chemical library, purposely designing screening experiments for identification and validation of hits with desired specificity and mode-of-action, and availability of orthogonal methods capable of confirming fragment hits. The range of targets and libraries amenable to an SPR biosensor-based approach for identifying hits is considerably expanded by adopting multiplexed strategies, using multiple complementary surfaces or experimental conditions. Here we illustrate principles and multiplexed approaches for using flow-based SPR biosensor systems for screening fragment libraries of different sizes (90 and 1056 compounds) against a selection of challenging targets. It shows strategies for the identification of fragments interacting with 1) large and structurally dynamic targets, represented by acetyl choline binding protein (AChBP), a Cys-loop receptor ligand gated ion channel homologue, 2) targets in multi protein complexes, represented by lysine demethylase 1 and a corepressor (LSD1/CoREST), 3) structurally variable or unstable targets, represented by farnesyl pyrophosphate synthase (FPPS), 4) targets containing intrinsically disordered regions, represented by protein tyrosine phosphatase 1B  (PTP1B), and 5) aggregation-prone proteins, represented by an engineered form of human tau  (tau K18). Practical considerations and procedures accounting for the characteristics of the proteins and libraries, and that increase robustness, sensitivity, throughput and versatility are highlighted. The study shows that the challenges for addressing these types of targets is not identification of potentially useful fragments per se, but establishing methods for their validation and evolution into leads.

摘要

表面等离子体共振 (SPR) 生物传感器方法非常适合基于片段的先导化合物发现。然而,通常缺乏适用的实验程序和详细的方案,特别是对于结构或物理化学上具有挑战性的靶标,或者当工具化合物不可用时。成功取决于考虑靶标和化学文库的特征,有针对性地设计用于鉴定和验证具有所需特异性和作用模式的命中的筛选实验,以及具有能够确认片段命中的正交方法。通过采用多重策略,使用多个互补表面或实验条件,可以大大扩展适用于基于 SPR 生物传感器方法识别命中的靶标和文库的范围。在这里,我们展示了使用基于流的 SPR 生物传感器系统筛选不同大小的片段文库(90 和 1056 种化合物)针对一系列具有挑战性的靶标的原理和多重方法。它展示了与 1)乙酰胆碱结合蛋白 (AChBP) 等结构较大且动态的靶标相互作用的片段的鉴定策略,AChBP 是一种 Cys 环受体配体门控离子通道同源物,2)赖氨酸去甲基酶 1 和核心抑制剂(LSD1/CoREST)等多蛋白复合物中的靶标,3)结构可变或不稳定的靶标,代表法呢基焦磷酸合酶 (FPPS),4)含有固有无序区域的靶标,代表蛋白酪氨酸磷酸酶 1B (PTP1B),和 5)易于聚集的蛋白质,代表人 tau 的工程形式(tau K18)。突出显示了考虑蛋白质和文库特性、提高稳健性、灵敏度、通量和多功能性的实用注意事项和程序。该研究表明,解决这些类型靶标的挑战不是本身确定潜在有用的片段,而是建立验证和将其进化为先导化合物的方法。

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