Dider Shihab, Ji Jiadong, Zhao Zheng, Xie Lei
Department of Chemical Sciences, Hunter College, The City University of New York, New York, NY, USA.
Department of Biostatistics, School of Public Health, Shandong University, Jinan, China.
NPJ Syst Biol Appl. 2016 Nov 10;2:16023. doi: 10.1038/npjsba.2016.23. eCollection 2016.
Fatty acid amide hydrolase (FAAH) is a promising therapeutic target for the treatment of pain and CNS disorders. However, the development of potent and safe FAAH inhibitors is hindered by their off-target mediated side effect that leads to brain cell death. Its physiological off-targets and their associations with phenotypes may not be characterized using existing experimental and computational techniques as these methods fail to have sufficient proteome coverage and/or ignore native biological assemblies (BAs; i.e., protein quaternary structures). To understand the mechanisms of the side effects from FAAH inhibitors and other drugs, we develop a novel structural phenomics approach to identifying the physiological off-targets binding profile in the cellular context and on a structural proteome scale, and investigate the roles of these off-targets in impacting human physiology and pathology using text mining-based phenomics analysis. Using this integrative approach, we discover that FAAH inhibitors may bind to the dimerization interface of NMDA receptor (NMDAR) and several other BAs, and thus disrupt their cellular functions. Specifically, the malfunction of the NMDAR is associated with a wide spectrum of brain disorders that are directly related to the observed side effects of FAAH inhibitors. This finding is consistent with the existing literature, and provides testable hypotheses for investigating the molecular origin of the side effects of FAAH inhibitors. Thus, the method proposed here, which can for the first time predict proteome-wide drug interactions with cellular BAs and link BA-ligand interaction with clinical outcomes, can be valuable in off-target screening. The development and application of such methods will accelerate the development of more safe and effective therapeutics.
脂肪酸酰胺水解酶(FAAH)是治疗疼痛和中枢神经系统疾病的一个有前景的治疗靶点。然而,强效且安全的FAAH抑制剂的开发受到其脱靶介导的副作用的阻碍,这种副作用会导致脑细胞死亡。其生理脱靶及其与表型的关联可能无法通过现有的实验和计算技术来表征,因为这些方法未能有足够的蛋白质组覆盖范围和/或忽略了天然生物组装体(BAs;即蛋白质四级结构)。为了理解FAAH抑制剂和其他药物副作用的机制,我们开发了一种新的结构表型组学方法,以在细胞环境和结构蛋白质组规模上识别生理脱靶的结合谱,并使用基于文本挖掘的表型组学分析来研究这些脱靶在影响人类生理和病理方面的作用。使用这种综合方法,我们发现FAAH抑制剂可能与N-甲基-D-天冬氨酸受体(NMDAR)的二聚化界面以及其他几个BAs结合,从而破坏它们的细胞功能。具体而言,NMDAR的功能失调与一系列广泛的脑部疾病相关,这些疾病与FAAH抑制剂观察到的副作用直接相关。这一发现与现有文献一致,并为研究FAAH抑制剂副作用的分子起源提供了可检验的假设。因此,本文提出的方法首次能够预测全蛋白质组范围内药物与细胞BAs的相互作用,并将BA-配体相互作用与临床结果联系起来,在脱靶筛选中可能具有重要价值。此类方法的开发和应用将加速更安全、有效的治疗药物的开发。