OctoChemDB:使用高分辨率MS数据进行小分子识别的聚合数据库
Ricardo Silvestre1,2, Rémi Martinent1, Laure Menin2
1School of Engineering and Architecture, Institute of Chemical Technology, HES-SO University of Applied Sciences and Arts Western Switzerland, Fribourg 1700, Switzerland.
Analytical chemistry
|February 16, 2026
概括
OctoChemDB集中化了化学,生物和光谱数据,增强了小分子识别. 它的REST API和Web应用程序允许基于m/z的快速搜索和光谱匹配,以简化复制.
科学领域:
- 计算化学和化学信息学
- 分析化学和质谱学.
- 生物信息学和数据科学
背景情况:
- 高分辨率质谱 (HRMS) 对于使用化学数据库进行小分子脱复制至关重要.
- 现有的数据库往往缺乏基于m/z的直接搜索功能和强大的光谱数据处理.
- 这限制了快速化合物识别工作流程的效率.
研究的目的:
- 开发OctoChemDB,一个集中的数据库,集成各种化学,生物和光谱数据.
- 通过REST API提供程序访问,以便无地集成到研究工作流程中.
- 创建一个用户友好的网络应用程序,用于先进的小分子识别和脱复制.
主要方法:
- 来自开放访问资源 (PubChem,MassBank,GNPS) 的汇总和协调数据.
- 实现了一个REpresentational状态转移应用程序程序接口 (REST API) 用于数据查询.
- 开发了一个基于m/z的搜索,公式预测,同位素相似性,碎片分析和文献检索的网络应用程序.
主要成果:
- OctoChemDB成功地集成和协调了不同的化学和光谱数据集.
- 该 REST API 允许高效的程序访问和自定义查询集成数据.
- 网络应用程序通过案例研究 (例如MDMA,咖啡因) 证明了有效的小分子识别.
结论:
- OctoChemDB及其相关的API/web应用程序显著加快了小分子识别和脱复制.
- 该平台为利用HRMS数据的研究人员提供了一个强大的,用户友好的工具.
- 开源的可用性促进了进一步的开发和整合到各种化学信息工作流程中.
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