In Silico Identification of Natural Products and World-Approved Drugs Targeting the KEAP1/NRF2 Pathway Endowed with Potential Antioxidant Profile

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computation Pub Date : 2023-12-16 DOI:10.3390/computation11120255
S. Brogi, Ilaria Guarino, L. Flori, Hajar Sirous, Vincenzo Calderone
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Abstract

In this study, we applied a computer-based protocol to identify novel antioxidant agents that can reduce oxidative stress (OxS), which is one of the main hallmarks of several disorders, including cancer, cardiovascular disease, and neurodegenerative disorders. Accordingly, the identification of novel and safe agents, particularly natural products, could represent a valuable strategy to prevent and slow down the cellular damage caused by OxS. Employing two chemical libraries that were properly prepared and enclosing both natural products and world-approved and investigational drugs, we performed a high-throughput docking campaign to identify potential compounds that were able to target the KEAP1 protein. This protein is the main cellular component, along with NRF2, that is involved in the activation of the antioxidant cellular pathway. Furthermore, several post-search filtering approaches were applied to improve the reliability of the computational protocol, such as the evaluation of ligand binding energies and the assessment of the ADMET profile, to provide a final set of compounds that were evaluated by molecular dynamics studies for their binding stability. By following the screening protocol mentioned above, we identified a few undisclosed natural products and drugs that showed great promise as antioxidant agents. Considering the natural products, isoxanthochymol, gingerenone A, and meranzin hydrate showed the best predicted profile for behaving as antioxidant agents, whereas, among the drugs, nedocromil, zopolrestat, and bempedoic acid could be considered for a repurposing approach to identify possible antioxidant agents. In addition, they showed satisfactory ADMET properties with a safe profile, suggesting possible long-term administration. In conclusion, the identified compounds represent a valuable starting point for the identification of novel, safe, and effective antioxidant agents to be employed in cell-based tests and in vivo studies to properly evaluate their action against OxS and the optimal dosage for exerting antioxidant effects.
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针对具有潜在抗氧化特性的 KEAP1/NRF2 通路的天然产品和世界批准药物的硅学鉴定
氧化应激是包括癌症、心血管疾病和神经退行性疾病在内的多种疾病的主要特征之一。因此,鉴定新型安全制剂,尤其是天然产品,是预防和减缓氧化应激对细胞造成损害的重要策略。我们利用两个经过适当制备的化学文库,其中既有天然产品,也有世界上已批准和正在研究的药物,进行了高通量对接,以确定能够靶向 KEAP1 蛋白的潜在化合物。该蛋白是与 NRF2 一起参与激活抗氧化细胞通路的主要细胞成分。此外,为了提高计算方案的可靠性,还采用了几种搜索后过滤方法,如配体结合能评估和 ADMET 剖面评估,以提供一组通过分子动力学研究评估其结合稳定性的最终化合物。根据上述筛选方案,我们发现了一些未公开的天然产品和药物,它们作为抗氧化剂显示出了巨大的潜力。在天然产物中,异黄酮酚、姜酮素 A 和美兰嗪水合物显示出最佳的抗氧化剂预测特征,而在药物中,奈多克罗米、左波瑞司他和贝贝多酸可考虑用于再利用方法,以确定可能的抗氧化剂。此外,它们还显示出令人满意的 ADMET 特性和安全特征,表明可以长期服用。总之,已鉴定的化合物是鉴定新型、安全、有效的抗氧化剂的重要起点,可用于细胞测试和体内研究,以正确评估它们对 OxS 的作用以及发挥抗氧化作用的最佳剂量。
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来源期刊
Computation
Computation Mathematics-Applied Mathematics
CiteScore
3.50
自引率
4.50%
发文量
201
审稿时长
8 weeks
期刊介绍: Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.
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