用于药物发现的选配体 (FDSL-DD) 的碎片数据库
Jerica Wilson1, Bahrad A Sokhansanj2, Wei Chuen Chong2
1Department of Chemistry, Drexel University, Philadelphia, PA, 19104, USA.
Journal of molecular graphics & modelling
|November 27, 2023
概括
一个新的碎片数据库从选联体药物设计 (FDSL-DD) 方法通过创建碎片库从对接联体改进药物发现. 与传统的基于片段的药物设计相比,这种方法提高了结合亲和力和效率.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 药品化学 药品化学 是一个
背景情况:
- 基于碎片的药物设计 (FBDD) 是一种关键的计算机辅助药物发现方法.
- 传统的FBDD面临挑战,包括长时间的处理时间和有限的成功率.
研究的目的:
- 引入一种新的方法,即从选联结体药物设计 (FDSL-DD) 进行碎片数据库,以增强FBDD.
- 通过智能碎片选择,提高药物开发的效率和成功率.
主要方法:
- 开发了FDSL-DD方法,从特定蛋白质标的对接,类似药物的配体创建一个碎片数据库.
- 集成的基于结构的设计选技术与FBDD.
- 在三个不同的蛋白质点上测试了该方法.
主要成果:
- 通过FDSL-DD方法,对所有测试的蛋白质标的结合 afinity 增加.
- 与高通量虚拟查 (HTVS) 相比,对TIPE2连接体观察到结合亲和力3.6kcalmol-1的显著改善.
- 在初始查中使用类似药物的配体提高了化学空间探索和碎片选择效率.
结论:
- FDSL-DD方法为基于片段的药物设计提供了更高效和有效的方法.
- 该策略结合了FBDD和基于结构的查的优势,以改善候选药物识别.
- FDSL-DD显示出加速药物开发过程的巨大潜力.
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