在药物发现中利用人工智能驱动的反向对接:对机遇,挑战和新兴趋势的全面审查
Olanrewaju Ayodeji Durojaye1,2, Sm Faysal Bellah3, Henrietta Onyinye Uzoeto4,5
1Drug Discovery and Biotechnology Unit, Lion Science Park, University of Nigeria, Nsukka, 410001, Nigeria. lanredurojaye@mail.ustc.edu.cn.
Journal of molecular modeling
|August 25, 2025
概括
人工智能 (AI) 增强反向对接以有效发现药物,帮助目标识别和重新定位. 这种人工智能驱动的方法优化了虚拟查,并预测了药物相互作用,加速了精确药物开发.
科学领域:
- 计算化学
- 生物信息学
- 药物发现
背景情况:
- 人工智能 (AI) 与反向对接的整合彻底改变了药物发现.
- 反向对接可以确定药物有效性和安全性概况的潜在结合点.
- 人工智能技术优化了目标选择,虚拟选和形态采样.
研究的目的:
- 审查人工智能驱动的逆对接在药物发现中的变革潜力.
- 突出药物重用和精准医学中的应用.
- 讨论未来的前景,包括多个经济领域的数据整合.
主要方法:
- 使用与人工智能框架 (机器学习,深度学习,强化学习) 集成的反向对接平台.
- 使用人工智能进行目标选择,交互预测和先进的采样技术.
- 使用分子对接软件实现AI优化的虚拟选工作流程.
主要成果:
- 人工智能驱动的反向对接在药物重定向和个性化医疗方面具有前景.
- 成功的案例研究说明了这种综合方法的有效性.
- 高吞吐量管道解决了数据集的数据整合挑战.
结论:
- 人工智能驱动的反向对接是加速药物发现和开发的强大工具.
- 未来与多种经济数据和实时管道的整合将推动个性化医疗.
- 这种方法为确定新的治疗点和相互作用提供了显著的潜力.
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