Benzothiazole derivatives as p53-MDM2 inhibitors: in-silico design, ADMET predictions, molecular docking, MM-GBSA Assay, MD simulations studies.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Shridhar Deshpande N, Shivakumar, Udaya Kumar D, Sudeep D Ghate, Sheshagiri R Dixit, Abhimanyu Awasthi, B C Revanasiddappa
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引用次数: 0

Abstract

Breast cancer stands as the most prevalent malignancy among the female populace. One of the pivotal domains in the therapeutic landscape of breast cancer revolves around the precise targeting of the p53-MDM2 inhibitory pathway. The advent of p53-MDM2 inhibition in the context of developing treatments for breast cancer marks a significant stride. In the quest for enhancing the efficacy of p53-MDM2 inhibition against breast cancer, a new series of benzothiazole compounds (B1-B30) was designed through in-silico methodologies in the present work. Using Schrodinger Maestro, the compounds underwent molecular docking assessments against the p53-MDM2 target (PDB: 4OGT). Compared to reference compounds, B25 and B12 exhibited notably elevated glide scores. Extensive in-silico studies, including ADMET and toxicity evaluations, were performed to predict pharmacokinetics, drug likeness, and toxicity. All compounds adhered to Lipinski criteria, signifying favorable oral drug properties. The MM-GBSA analysis indicated consistent binding free energies. Molecular dynamics simulations for B25 over 200 ns assessed complex stability and interactions. In summary, these compounds exhibit potential for future cancer therapy medication development.

作为 p53-MDM2 抑制剂的苯并噻唑衍生物:硅内设计、ADMET 预测、分子对接、MM-GBSA 分析、MD 模拟研究。
乳腺癌是女性人群中发病率最高的恶性肿瘤。乳腺癌治疗的一个关键领域是精确靶向 p53-MDM2 抑制途径。在开发乳腺癌疗法方面,p53-MDM2 抑制疗法的出现标志着一个重大进步。为了提高 p53-MDM2 抑制剂对乳腺癌的疗效,本研究通过硅内方法设计了一系列新的苯并噻唑化合物(B1-B30)。利用 Schrodinger Maestro,这些化合物针对 p53-MDM2 靶点(PDB:4OGT)进行了分子对接评估。与参考化合物相比,B25 和 B12 的滑翔得分明显提高。为了预测药代动力学、药物相似性和毒性,我们进行了广泛的硅学研究,包括 ADMET 和毒性评估。所有化合物都符合 Lipinski 标准,表明具有良好的口服药物特性。MM-GBSA 分析表明了一致的结合自由能。对 B25 200 ns 的分子动力学模拟评估了复合物的稳定性和相互作用。总之,这些化合物展示了未来癌症治疗药物开发的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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