DockThor-VS:一个免费的平台,用于接受器-连接体虚拟查
Isabella Alvim Guedes1, Matheus Müller Pereira da Silva1, Marcelo Galheigo1
1Laboratório Nacional de Computação Científica (LNCC), Avenida Getúlio Vargas, 333, Petrópolis CEP 25651-075, Brazil.
Journal of molecular biology
|September 5, 2024
概括
DockThor-VS是一款用于药物发现的免费,高性能计算平台,可实现精确的蛋白质-连接体对接和虚拟选. 它有效地处理灵活的连接体,并为药物重新用途提供多种结合模式.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 生物信息学是一种生物信息学.
背景情况:
- 药物发现依赖于精确预测蛋白质-连接体相互作用.
- 虚拟查加速了潜在的候选药物的识别.
- 高性能计算对于大规模分子模拟至关重要.
研究的目的:
- 为了介绍DockThor-VS,一个免费的蛋白质连接器对接服务器用于药物发现.
- 为准确和高效的虚拟选提供一个用户友好的平台.
- 为了利用高性能计算进行增强的对接实验.
主要方法:
- DockThor对接引擎:基于网格的,灵活的连接器/刚性接收器对接.
- 用MMFF94S力场进行姿势预测的多重解决方案遗传算法.
- DockTScore实证评分功能用于亲和力预测和排名.
- 用户友好的DockThor门户网站用于配体/蛋白质制备和网格盒定制.
主要成果:
- 自动集群和对接结果的排序产生了各种各样的绑定模式.
- 平台处理高度灵活的配体,包括.
- 与SDumont高性能计算集成可提高速度和效率.
- 为COVID-19蛋白质和FDA批准的药物等目标提供精心策划的数据集.
结论:
- DockThor-VS提供了一个强大的,用户友好的解决方案,用于基于对接的虚拟选.
- 该平台促进了高效和准确的药物发现项目.
- 通过精心策划的数据集和先进的算法,使药物能够快速重新使用.
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