在瘤学中以人工智能驱动的创新药物发现:改变传统的管道和提高药物设计
Fatimah G Albani1,2, Sahar S Alghamdi2,3,4, Mohammed M Almutairi5
1Department of Biology, Faculty of Science, Princess Nourah bint Abdulrahman University, Al-Riyadh, Saudi Arabia.
人工智能 (AI) 正在通过加快过程,提高药物的有效性和降低毒性来彻底改变瘤学药物发现. 这项技术是开发向治疗和改善癌症和中枢神经系统疾病的临床试验的关键.
科学领域:
- 在瘤学瘤学.
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 传统的瘤学药物发现是漫长而昂贵的.
- 人工智能 (AI) 提供了加速和优化过程的潜在解决方案.
- 人工智能越来越多地应用于分子建模,化合物识别和毒性预测.
研究的目的:
- 为在瘤学药物发现中提供人工智能驱动方法的全面分析.
- 检查AI在药物开发连续过程中的变革性作用.
- 突出AI在推进瘤治疗和精密医学方面的潜力.
主要方法:
- 审查当前在药物发现中的AI应用.
- 分析AI在计算机辅助药物设计 (CADD) 中的作用.
- 在药物开发中检查生成性人工智能 (GAI) 和高通量查 (HTS).
主要成果:
- 人工智能加速发现,优化疗效,并最大限度地减少瘤药物开发中的毒性.
- 人工智能通过针对瘤学和中枢神经系统疾病的向治疗来促进精准医学.
- 人工智能辅助的临床试验改善了患者招募,并减少了试验时间表和成本.
结论:
- 人工智能是改变瘤药物发现和开发的关键工具.
- 人工智能集成增强了精准医学,并加速了新疗法的交付.
- 解决数据集成和伦理考虑等挑战对于实现人工智能的全部潜力至关重要.
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