分子性质诊断套件复合库 (MPDS-CL):基于结构的化学空间分类
Lijo John1,2, Selvaraman Nagamani1,2, Hridoy Jyoti Mahanta1,2
1Advanced Computation and Data Sciences Division, CSIR - North East Institute of Science and Technology, Jorhat, 785006, India.
Molecular diversity
|October 30, 2023
概括
分子性质诊断套件复合库 (MPDS-CL) 使用基于结构的方法对近1.5亿个分子进行了分类. 这个开源门户网站为每个化合物分配了一个独特的MPDS-AadharID,促进了高效的搜索和相似性分析.
科学领域:
- 化学信息学 化学信息学
- 计算化学的计算化学
- 生物信息学是一种生物信息学.
背景情况:
- 在各种数据库中存在大量的化学化合物.
- 有效地组织和搜索这些大型分子数据集是一个重大挑战.
- 基于结构的分类对于理解分子关系至关重要.
研究的目的:
- 开发一个基于银河系的开源网络门户,用于分子分类.
- 为大型复合库创建基于结构的分类系统.
- 为增强分子检索和相似性搜索分配独特标识符.
主要方法:
- 从42个公共数据库收集了近1.5亿种独特的化合物.
- 使用基于原子组成的97个层次定义的部分进行了冗余清除.
- 采用基于指纹的56位分类算法,形成56个不同的分子类.
- 在基于分子重量的类别内进一步聚合分子,产生625个聚合物.
- 将一个独特的MPDS-AadharID分配给149,169,443个分子中的每一个.
主要成果:
- 成功将149,169,443个独特的分子分为56个类别和625个群集.
- 开发了一个新的基于结构的分类系统,可以通过MPDS-CL门户网站访问.
- 实现了多个搜索功能,包括精确的结构,子结构,基于财产和基于指纹的搜索.
- 为每个分子提供独特的MPDS-AadharID,类似于国家识别号码.
结论:
- MPDS-CL提供了一个高效的开源平台,用于探索大型化学化合物库.
- 基于结构的分类和独特标识符显著增强了分子搜索和相似性分析.
- 门户网站的功能有助于更快地检索类似的分子和有关数据库存在的信息.
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