羽毛的:计算如何将类疗法置于它的翅膀下
Thomas David Daniel Kazmirchuk1, Calvin Bradbury-Jost1, Taylor Ann Withey1
1Department of Biology, and the Ottawa Institute of Systems Biology (OISB), Carleton University, Ottawa, ON K1S 5B6, Canada.
Genes
|June 28, 2023
概括
计算方法加快了的治疗发展,增强了药物特性,降低了毒性. 未来的研究重点是提高新型疾病治疗的准确性和临床成功率.
科学领域:
- 生物技术是生物技术.
- 计算化学计算化学
- 药物发现 药物发现 药物发现
背景情况:
- 类疗法为治疗各种疾病提供了一个有前途的途径.
- 计算方法对于设计具有改进性质的新疗法越来越重要.
研究的目的:
- 审查用于治疗开发的in-silico酸设计的当前状态.
- 突出计算和人工智能在推进疗法的作用.
- 识别计算设计中的挑战和未来方向.
主要方法:
- 在性的设计利用分子对接,分子动力学模拟和机器学习.
- 关键的设计策略包括基于结构的设计,蛋白质仿真和简短的图案设计.
主要成果:
- 计算方法已经改变了的设计,产生了具有增强药理动力学和降低毒性的治疗方法.
- 在通过in-silico方法识别新疗法方面取得了重大进展.
结论:
- 尽管取得了进展,但计算方法准确性,临床试验成功率和药理动力学/毒性预测仍然存在挑战.
- 计算和人工智能的整合对未来的治疗开发有很大的潜力.
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