微生物衍生抗癌化合物:药物发现,生物工程和治疗应用的进步
Ekta Tyagi1, Divya Jain2, Rajabrata Bhuyan1
1Department of Bioscience and Biotechnology, Banasthali Vidyapith, Rajasthan-304022, India.
Anti-cancer agents in medicinal chemistry
|September 5, 2025
概括
人工智能和纳米技术加速了微生物抗癌化合物的发现. 这些先进的方法提高了药物的有效性和输送,为精确的瘤治疗铺平了道路.
科学领域:
- 生物化学
- 药理学
- 计算化学
背景情况:
- 微生物代谢物提供丰富的抗癌化合物来源.
- 传统的药物发现是缓慢而昂贵的.
- 先进的计算和纳米技术工具可以加速这一过程.
研究的目的:
- 审查AI,ML,分子对接和QSAR在识别和优化微生物抗癌剂中的作用.
- 检查纳米载体系统对药物输送和疗效的影响.
- 确定该领域的挑战和未来方向.
主要方法:
- 对人工智能 (AI),机器学习 (ML),分子对接和定量结构-活动关系 (QSAR) 建模的最新发展进行审查.
- 对微生物代谢物的基于纳米载体的药物递送系统的分析.
- 对临床翻译挑战的研究.
主要成果:
- 人工智能显著提高了化合物查和疗效预测.
- 纳米载体可以提高生物可用性,特异性和稳定性,同时降低毒性.
- 由于缺乏体内验证和药理动力学数据,因此临床转化受到阻碍.
结论:
- 计算工具和纳米技术的整合加速了微生物抗癌剂的发现和交付.
- 未来的研究应该将人工智能与合成生物学和先进纳米技术结合起来,以实现有针对性的交付.
- 了解耐药机制和分子途径对于组合疗法和精确瘤学至关重要.
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