计算机辅助药物设计的最新趋势,用于抗癌药物发现
Iashia Tur Razia1, Ayesha Kanwal1, Hafiza Fatima Riaz2
1Department of Biotechnology, University of Okara, Okara, Pakistan.
计算药物发现为寻找新的癌症治疗方法提供了比传统方法更快,更便宜的替代方案. 本综述强调了计算机辅助药物设计技术,这些技术对于开发创新的抗癌疗法至关重要.
科学领域:
- 瘤学和计算化学
- 药物发现和开发 药物发现和开发
背景情况:
- 癌症仍然是全球主要的死亡原因,需要超越传统治疗的新型治疗策略.
- 传统的药物发现方法,如体外和体内研究,耗时且昂贵.
- 癌症的复杂性需要先进的方法来了解疾病机制,并确定有效的治疗方法.
结论:
- 先进的CADD方法对于设计下一代癌症疗法至关重要.
- 计算药物发现加速了有效和不那么有毒的抗癌治疗方法的识别.
- 整合人工智能和计算工具正在改变癌症药物开发的格局.
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