关于查询定义在基于3D联体的虚拟选的执行中的相关性
Javier Vázquez1,2, Ricardo García3, Paula Llinares3,4
1Pharmacelera, Parc Científic de Barcelona (PCB), C/ Baldiri Reixac 4-8, Barcelona, 08028, Spain. javier.vazquez@pharmacelera.com.
Journal of computer-aided molecular design
|April 4, 2024
概括
选择正确的分子构造是成功进行3D基虚拟查 (3D-LBVS) 的关键. 这项研究揭示了模板结构和形状应变如何显著影响药物发现中的活性化合物的检索.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 化学信息学 化学信息学
背景情况:
- 基于连接体的虚拟查 (LBVS) 对于识别新药候选药物至关重要.
- 3D-LBVS的成功取决于分子对叠加,受模板选择和构造选择的影响.
- 了解这些因素对于优化虚拟选活动至关重要.
研究的目的:
- 调查模板查询对3D-LBVS性能的影响.
- 分析模板和活性化合物之间的结构相似性的影响.
- 确定影响3D-LBVS中活性分子回收的因素.
主要方法:
- 使用了PharmScreen和Phase Shape,两个3D-LBVS工具.
- 采用DUD-E+数据库和多样化的子集 (DUD-E+-Diverse) 来最大限度地减少2D相似性.
- 评估了不同的查询结构和结构特征内容的影响.
主要成果:
- 查询构造通常对3D-LBVS性能有轻微的影响.
- 模板中的结构相似性和诱导的构造应变可以对特定目标的活性化合物回收产生重大影响.
- 在原始和不同数据库之间观察到性能差异.
结论:
- 在3D-LBVS中选择查询符合性是关键的,并且取决于目标.
- 结构特征和形状应变是影响3D-LBVS有效性的关键因素.
- 这项研究为优化3D-LBVS活动中的查询定义提供了指导.
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