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作为p53-MDM2抑制剂的苯并噻唑衍生物:设计、ADMET预测、分子对接、MM-GBSA分析、分子动力学模拟研究

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

作者信息

N Shridhar Deshpande, Kumar D Udaya, Ghate Sudeep D, Dixit Sheshagiri R, Awasthi Abhimanyu, Revanasiddappa B C

机构信息

Department of Pharmaceutical Chemistry, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, Karnataka, India.

Department of Chemistry, National Institute of Technology Karnataka, Mangalore, Karnataka, India.

出版信息

J Biomol Struct Dyn. 2025 Apr;43(6):2993-3004. doi: 10.1080/07391102.2023.2294836. Epub 2023 Dec 18.

DOI:10.1080/07391102.2023.2294836
PMID:38111168
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 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 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.

摘要

乳腺癌是女性群体中最常见的恶性肿瘤。乳腺癌治疗领域的关键领域之一围绕着p53-MDM2抑制途径的精确靶向。在乳腺癌治疗开发背景下p53-MDM2抑制的出现标志着重要的进展。为了提高p53-MDM2抑制对乳腺癌的疗效,本研究通过相关方法设计了一系列新的苯并噻唑化合物(B1-B30)。使用薛定谔大师软件,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表现出显著更高的滑行分数。进行了广泛的研究,包括ADMET和毒性评估,以预测药代动力学、药物相似性和毒性。所有化合物均符合Lipinski标准,表明具有良好的口服药物特性。MM-GBSA分析表明结合自由能一致。对B25进行了超过200纳秒的分子动力学模拟,评估了复合物的稳定性和相互作用。总之,这些化合物在未来癌症治疗药物开发方面具有潜力。

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