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代谢组学辅助发现新型抗癌 GLS-1 抑制剂类化合物:从表型筛选到靶标鉴定。

Metabolomics-assisted discovery of a new anticancer GLS-1 inhibitor chemotype from a nortopsentin-inspired library: From phenotype screening to target identification.

机构信息

Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Via Archirafi 32, 90123, Palermo, Italy.

Department of Pharmacy, University of Salerno, Via G. Paolo II, 84084, Fisciano, SA, Italy.

出版信息

Eur J Med Chem. 2022 Apr 15;234:114233. doi: 10.1016/j.ejmech.2022.114233. Epub 2022 Mar 6.

Abstract

The enzyme glutaminase-1 (GLS-1) has shown a clear and coherent implication in the progression and exacerbation of different aggressive tumors such as glioblastoma, hepatocarcinoma, pancreas, bone, and triple-negative breast cancer. Few chemotypes are currently available as selective GLS-1 inhibitors, and still, fewer of them are at the clinical stage. In the present paper, starting from a naturally-inspired antitumor compound library, metabolomics has been used to putatively identify the molecular mechanism underlying biological activity. GLS-1 was identified as a potential target. Biochemical analysis confirmed the hypothesis leading to the identification of a new hit compound acting as a GLS-1 selective inhibitor (IC = 3.96 ± 1.05 μM), compared to the GLS-2 isoform (IC = 12.90 ± 0.87 μM), with remarkable antitumor potency over different aggressive tumor cell lines. Molecular modelling studies revealed new insight into the drug-target interaction providing robust SAR clues for the rational hit-to-lead development. The approach undertaken underlines the wide potential of metabolomics applied to drug discovery, particularly in target identification and hit discovery following phenotype screening.

摘要

谷氨酰胺酶-1(GLS-1)已被明确证实与多种侵袭性肿瘤(如神经胶质瘤、肝癌、胰腺癌、骨癌和三阴性乳腺癌)的进展和恶化密切相关。目前仅有少数化学型可作为选择性 GLS-1 抑制剂,且其中更少的处于临床阶段。在本研究中,我们从天然抗肿瘤化合物库出发,采用代谢组学方法来推测其潜在的生物学活性的分子机制。结果鉴定出 GLS-1 是一个潜在的靶点。生化分析证实了这一假设,从而鉴定出一种新型作用于 GLS-1 的选择性抑制剂(IC=3.96±1.05μM),与 GLS-2 同工酶(IC=12.90±0.87μM)相比,对不同侵袭性肿瘤细胞系具有显著的抗肿瘤活性。分子建模研究揭示了药物-靶相互作用的新见解,为合理的从命中发现先导化合物提供了强大的 SAR 线索。该方法强调了代谢组学在药物发现中的广泛应用潜力,特别是在表型筛选后的靶标鉴定和命中发现方面。

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