基于天然产品的抗癌药物发现:从计算方法到临床研究
Pritee Chunarkar-Patil1, Mohammed Kaleem2, Richa Mishra3
1Department of Bioinformatics, Rajiv Gandhi Institute of IT and Biotechnology, Bharati Vidyapeeth (Deemed to be University), Pune 411046, Maharashtra, India.
Biomedicines
|January 23, 2024
概括
自然产品提供了新的抗癌药物线索. 将计算方法与天然产品相结合,加速了癌症药物发现,从临床前应用到临床应用.
科学领域:
- 自然产品化学 自然产品化学
- 计算机化药物发现.
- 在瘤学瘤学.
背景情况:
- 恶性瘤是全球死亡的主要原因,需要创新的治疗策略.
- 尽管在常规和精确的癌症治疗方面取得了进展,但药物开发仍然存在挑战.
- 自然产品历来提供并继续提供丰富的抗癌化合物的来源.
研究的目的:
- 审查天然产品和计算技术在抗癌药物发现中的协同作用.
- 突出自然产品从计算选到临床应用的进展.
- 讨论开发天然产品作为抗癌剂的挑战和未来方向.
主要方法:
- 在癌症研究中对天然产品的文献综述.
- 对识别和优化天然产品候选药物的计算方法的分析.
- 对自然产品衍生药物的临床前 (体外,体内) 和临床研究数据的检查.
主要成果:
- 像Vincristine和Vinblastine这样的天然产品是已知的抗癌药物.
- 计算方法,包括in silico选,有助于识别有前途的天然化合物.
- 比如贝鲁林酸,维他费林A,西尔维斯托尔和阿尔特米西宁的例子证明了从发现到临床试验的成功过渡.
结论:
- 计算方法的整合显著提高了基于天然产品的抗癌药物的发现和开发.
- 进一步的研究和开发,可能包括人工智能和深度学习,可以释放天然产品的全部治疗潜力.
- 克服自然产品开发中的挑战对于推进新型癌症疗法至关重要.
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