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Updated: Jun 4, 2025

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Interactive Molecular Model Assembly with 3D Printing
Published on: August 13, 2020
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3D分子生成模型扩大了药物设计中的化学空间探索
Yu-Ting Xiang1, Guang-Yi Huang1, Xing-Xing Shi1
1State Key Laboratory of Green Pesticide, Central China Normal University, Wuhan 430079, China.
Drug discovery today
|December 30, 2024
概括
3D分子生成模型通过探索广的化学空间来加速药物发现. 本综述涵盖了药物设计中3D生成建模的数据集,表示和策略.
科学领域:
- 计算化学是一种计算化学.
- 药品化学 药品化学 是一个
- 人工智能在药物发现中的作用
背景情况:
- 药物发现对于治疗人类疾病至关重要,但受到巨大化学空间的阻碍.
- 分子生成模型为加速药物设计提供了有效的化学空间探索.
- 三维 (3D) 分子生成越来越受欢迎,用于整合空间信息.
研究的目的:
- 总结和比较3D分子生成中的常见数据集,分子表示和生成策略.
- 提供有关联体设计中的生成建模应用的案例研究.
- 在3D模型的开发和应用中概述未来的挑战.
主要方法:
- 对现有数据集进行3D分子生成的审查和比较.
- 在生成模型中使用的各种分子表示的分析.
- 评估不同的生成策略,包括深度学习方法.
- 对联结体设计的生成建模的案例研究分析.
主要成果:
- 识别常见的数据集及其适合3D分子生成的情况.
- 不同分子表示的优点和弱点的比较.
- 概述普遍存在的生成策略及其性能.
- 通过案例研究,展示了在联体设计中的成功应用.
结论:
- 3D分子生成模型是合理药物设计的强大工具.
- 需要进一步的研究来应对模型开发和应用中的挑战.
- 这项工作为药物设计和生成建模研究人员提供了宝贵的参考资料.
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