麻醉整个人类蛋白质组:我们还没有到达那里吗?
Micholas Dean Smith1, L Darryl Quarles2, Omar Demerdash3
1University of Tennessee/Oak Ridge National Laboratory Center for Molecular Biophysics, Oak Ridge, TN 37830, USA; Department of Biochemistry and Cellular and Molecular Biology, University of Tennessee, Knoxville, TN 37996, USA.
Drug discovery today
|January 21, 2024
概括
使用蛋白质3D结构的全蛋白质虚拟高通量选 (VHTS) 变得可行. 基于物理的对接和人工智能方法都显示出药物发现的前景,预计将持续改进.
科学领域:
- 生物化学 生物化学
- 结构生物学 结构生物学
- 计算化学计算化学
背景情况:
- 人类蛋白质组包括约2万种蛋白质,每一种蛋白质都是潜在的药物标.
- 3D蛋白质结构的可用性正在迅速增加.
- 药物发现依赖于识别调节蛋白质功能的化合物.
研究的目的:
- 讨论全蛋白体虚拟高通量查 (VHTS) 的前景.
- 为了比较基于物理的对接和AI驱动的VHTS方法.
- 评估VHTS在药物发现方面的当前和未来潜力.
主要方法:
- 基于物理的VHTS方法的审查.
- 基于人工智能的VHTS方法的评估.
- 对数千个蛋白质标应用的大规模化合物数据库的分析.
主要成果:
- 通过当前的技术,可以实现初步的全蛋白体屏幕.
- 对接和AI VHTS都应用于广泛的目标和复合库.
- 方法上的进步对于提高VHTS准确性至关重要.
结论:
- 整个蛋白质组的VHTS是加速药物发现的有希望的策略.
- 结构生物学和计算方法的整合是关键.
- 持续开发VHTS算法将提高目标识别和化合物选效率.
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