通过利用计算药物重新定位来重新定义乳腺癌护理
Elena-Daniela Jurj1, Daiana Colibășanu1,2, Sabina-Oana Vasii1
1Center for Drug Data Analysis, Cheminformatics, and the Internet of Medical Things, "Victor Babeș" University of Medicine and Pharmacy Timișoara, 300041 Timișoara, Romania.
Medicina (Kaunas, Lithuania)
|September 27, 2025
概括
计算药物重新定位提供了一种具有成本效益的方法来发现新的乳腺癌疗法,特别是三阴性乳腺癌 (TNBC). 本综述强调了先进的计算策略及其克服治疗挑战的潜力.
科学领域:
- 在瘤学瘤学.
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
背景情况:
- 乳腺癌,特别是三阴性乳腺癌 (TNBC),由于有限的向选择和药物耐药性, presents显著的治疗挑战.
- 药物重新定位通过利用现有的药物安全性和药理动力学数据,为新药发现提供了具有成本效益的替代方案.
研究的目的:
- 对乳腺癌的计算药物重新定位策略的最新进展进行批判性审查.
- 评估各种in silico方法的有效性和挑战,以确定新的治疗指示.
主要方法:
- 基于网络的方法基于网络的方法
- 计算机辅助药物设计 (CADD)
- 人工智能 (AI) 和机器学习 (ML)
- 转录密码签名匹配的匹配
- 多领域的整合.
主要成果:
- 突出了表明进展到临床前或临床评估的关键案例研究.
- 评估了比较性绩效指标,验证结果和现实世界的成功率.
- 确定了方法上的挑战,包括数据异质性,偏差和可重复性.
结论:
- In silico药物重新定位具有很大的潜力,可以解决乳腺癌治疗的未满足需求.
- 标准化数据共享,可重复的管道和机会窗口试验对于推进该领域至关重要.
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