在药物发现中使用基于连接体和结构的虚拟选方法:小评
Matheus Nunes da Rocha1, Damião Sampaio de Sousa2, Francisco Rogenio da Silva Mendes2
1Postgraduate Program in Natural Sciences, Sciences and Technology Center, State University of Ceará, Fortaleza, CE, Brazil. matheusndarocha@gmail.com.
Molecular diversity
|September 2, 2024
概括
本综述对用于药物发现的虚拟查方法进行了排名. 基于结构的方法,特别是分子对接,显示出最有前途的新疗法.
科学领域:
- 计算化学和化学信息学
- 药物发现和药物化学
- 生物信息学和计算生物学
背景情况:
- 虚拟查 (VS) 对于药物发现至关重要,它结合了连接体和基于结构的分子建模.
- 选择最佳的VS策略具有挑战性,特别是在基于多连接体和蛋白质结构的研究中.
- 需要进行系统审查,以指导选择VS方法.
研究的目的:
- 系统地审查和排名用于药物发现的虚拟查策略.
- 为了确定最有效的方法,研究从多连接体或蛋白质结构数据开始.
- 为选择治疗目标研究中最佳的VS方法提供指导.
主要方法:
- 虚拟查研究的系统文献综述.
- 来自ScienceDirect数据库的研究分析.
- 对分子对接和其他VS技术的评估.
- 基于应用和有效性的VS策略的排名.
主要成果:
- 分子对接是科学文献中最常用的技术.
- 基于结构的虚拟查方法对药物发现非常有希望.
- VS方法的有效性因研究的目标和约束而异.
- 很大一部分研究使用分子建模来识别治疗点.
结论:
- 基于结构的虚拟选,特别是分子对接,是现代药物发现的领先策略.
- 选择VS方法应与具体的研究目标和现有数据保持一致.
- 持续开发和应用VS技术对于推进制药研究至关重要.
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