在40个小分子数据库中的陶托马体冲突
Devendra K Dhaked1, Marc C Nicklaus1
1Computer-Aided Drug Design Group, Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, NIH, Frederick, Maryland 21702, United States.
Journal of chemical information and modeling
|September 24, 2024
概括
在所有分析的化学数据库中,都发现了不同分子结构被错误地识别为相同的tautomeric冲突. 这些冲突影响了2.10亿多个结构,突出了提高化学数据标准化的必要性.
科学领域:
- 化学 化学 化学
- 化学信息学 化学信息学
- 计算化学计算化学
背景情况:
- 化学数据库包含大量的分子结构.
- 对分子结构的准确表示对于化学研究和药物发现至关重要.
- 陶托马力学,即在质子和相邻单双键的位置上存在不同分子的存在,可以导致结构模两可.
研究的目的:
- 在多种化学数据库中识别和量化分体冲突.
- 评估大规模化学数据中 tautomeric 错误的流行程度和影响.
- 为了评估现有的分体转换规则的有效性.
主要方法:
- 分析了40个化学数据库 (总共超过2.10亿个结构).
- 应用119个分体变换规则 (SMIRKS格式) 来检测冲突.
- tautomerism 的分类为原型,环链和价值类型.
主要成果:
- 所有分析的数据库都表现出数据库内部的相互冲突.
- 在119个测试的分体规则中,79个发现了至少一个冲突.
- 冲突率通常在百分之十分之一以下,在最大的数据库中翻译为超过10万个案例.
结论:
- 陶托马体冲突是化学数据库中普遍存在的问题.
- 这些发现强调了对强大的算法和对 tautomer 识别的标准化规则的必要性.
- 改进的数据处理对于可靠的化学信息检索和分析至关重要.
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