药物发现中的分子生成模型的演变
Hao-Xiang Xu1, Jian Peng1, Jun-Lin Yu1
1Department of Medicinal Chemistry, West China School of Pharmacy, Sichuan University, Chengdu, Sichuan 610041, China.
Journal of medicinal chemistry
|January 9, 2026
概括
分子生成模型 (MGMs) 正在彻底改变药物发现. 本综述将常见的MGM分类为基于联体的,基于结构的和基于药的方法,讨论它们的应用和未来方向.
科学领域:
- 计算化学的计算化学
- 药用化学 医学化学
- 药物发现 药物发现 药物发现
背景情况:
- 分子生成模型 (MGMs) 在药物发现中越来越重要.
- 数以千计的MGM存在,有助于设计具有特定性质的分子.
- 对MGM的有效分类对于理解其应用至关重要.
研究的目的:
- 将常见的MGM分为三种主要类型:基于联体的分子生成 (LBMG),基于结构的分子生成 (SBMG) 和基于药的分子生成 (PBMG).
- 讨论这些MGM在药物发现中的原理,进化和应用.
- 探索MGM的优势,局限性和未来的研究方向.
主要方法:
- 文献综述和对MGM现有研究的综合.
- 根据它们的基本原则和应用背景对MGM进行分类.
- 分析代表性实例及其在药物发现中的成功.
主要成果:
- 大型机床被分为LBMG,SBMG和PBMG.
- 每个类别都展示了在设计分子中的独特原则和应用.
- 成功的应用突显了MGM在加速药物发现方面的潜力.
结论:
- 分类为LBMG,SBMG和PBMG的MGM是现代药物发现的强大工具.
- 了解它们的原则,优势和局限性是它们有效应用的关键.
- 继续开发MGM有望进一步推进药物发现领域.
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