用于化学结构任务的Python工具
Fedor V Ryzhkov1, Yuliya E Ryzhkova2, Michail N Elinson2
1N. D. Zelinsky Institute of Organic Chemistry Russian Academy of Sciences, 47 Leninsky Prospekt, Moscow, 119991, Russia. ryzhkovfv@ioc.ac.ru.
Molecular diversity
|May 14, 2024
概括
这篇评论强调了Python的重点.
科学领域:
- 计算化学和化学信息学.
- 人工智能在科学研究中的应用.
背景情况:
- 计算方法和人工智能 (AI) 在科学研究中越来越普遍.
- 由于其多功能性,Python已经成为化学家的关键编程语言.
- 它的实用性涵盖了各种化学和结构问题,包括描述器计算和反应网络分析.
研究的目的:
- 提供基于Python的结构化学工具的精选列表.
- 作为科学家寻求自动化或优化化学问题的入门资源.
- 展示Python在化学数据分析和可视化方面的能力.
主要方法:
- 审查现有的Python脚本,库,程序和Web接口.
- 专注于适用于化学描述器计算,分子指纹,图形构造和化学反应网络的工具.
- 识别化学空间和化合物库的可视化工具.
主要成果:
- 这里列出了与结构化学相关的Python工具的全面列表.
- 该审查涵盖了一系列应用,从基本计算到复杂的网络分析.
- 化学数据的可视化工具也包括在内.
结论:
- Python 是现代结构化学的一个强大而通用的工具.
- 审查的资源可以显著帮助科学家在自动化和优化常规化学任务.
- 这本汇编是利用Python在化学研究中的一个有价值的起点.
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