计算机辅助药物发现表观遗传调节器在多因子疾病的双目标治疗中
Slavica Oljacic1, Marija Popovic Nikolic1, Brankica Filipic2
1Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000 Belgrade, Serbia.
Current topics in medicinal chemistry
|November 6, 2024
概括
双位抑制剂通过同时向遗传和表观遗传因素,为治疗癌症和神经退行提供了新的希望. 计算机辅助药物设计有助于开发复杂疾病的这些新疗法.
科学领域:
- 分子生物学分子生物学
- 遗传学 是一个遗传学.
- 神经科学是一个神经科学.
- 药理学 药理学 是一个学科.
背景情况:
- 常见的遗传和表观遗传因素 (例如,p53,HDAC,BDNF,ATM,CDK5,GSK3,miRNA) 都与癌症和神经退行有关.
- 表观遗传异常有助于这些疾病的复杂病理生理变化.
- 同时准表观遗传和相关途径是一个有希望的治疗策略.
研究的目的:
- 审查针对癌症和神经退行症中的分子机制的新型治疗剂.
- 探索双抑制剂在治疗这些多因素疾病方面的潜力.
- 突出计算机辅助药物设计 (CADD) 在开发新的表观遗传抑制剂中的作用.
主要方法:
- 对癌症和神经退行症中的遗传,表观遗传和分子途径的现有文献的审查.
- 计算机辅助药物设计 (CADD) 方法的讨论,用于开发双目标抑制剂.
- 对表观遗传双抑制剂的抗癌机制的分析.
主要成果:
- 双目标抑制剂可以同时解决表观遗传和其他相关途径.
- CADD促进了对表观遗传双抑制剂的新化学型的设计.
- 表观遗传双抑制剂通过改变转移性和瘤性质,影响瘤微环境和调节免疫反应来表现出抗癌作用.
结论:
- 双位抑制剂是开发癌症和神经退行症有效和个性化治疗的有希望的途径.
- 在加速新型表观遗传双抑制剂的发现方面,CADD是一个有价值的工具.
- 对这些病原体的进一步研究可以改善对多因素疾病的理解和治疗.
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