药物Ex:深度学习模型和工具用于探索类似药物的化学空间
Martin Šícho1,2, Sohvi Luukkonen1, Helle W van den Maagdenberg1
1Leiden Academic Centre for Drug Research, Leiden University, 55 Einsteinweg, 2333 CC, Leiden, The Netherlands.
Journal of chemical information and modeling
|June 5, 2023
概括
DrugEx是一个新的开源软件包,用于使用多目标强化学习进行新药设计. 它提供了一个用户友好的,可定制的平台,用于发现具有理想性质的新型分子.
科学领域:
- 药用化学 医学化学
- 计算化学的计算化学
- 机器学习 机器学习
背景情况:
- 发现具有理想性质的新型分子是药物化学的一个关键挑战.
- 机器学习已经推进了新的药物设计,但用户友好和可定制的资源有限.
研究的目的:
- 推出DrugEx,一个多功能开源软件包,用于药物设计中的多目标强化学习.
- 为新的药物设计提供一个整合和重新设计的脚本集.
主要方法:
- DrugEx集成了多个生成器架构,评分工具和多目标优化方法.
- 该软件具有灵活的应用程序编程界面 (API),可通过命令行或图形用户界面 (GenUI) 访问.
主要成果:
- 药物Ex提供了一个用户友好和可定制的平台,用于新的药物设计.
- 该包整合和重新设计了以前的DrugEx出版物中的脚本.
结论:
- 药物Ex为医学和计算化学研究人员提供了一个强大而易于使用的工具.
- 药物Ex的开源性质鼓励在药物发现领域进行定制和进一步开发.
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