Department of Chemistry and Biochemistry, NCCR TransCure, University of Berne, Freiestrasse 3, 3012 Berne, Switzerland.
J Chem Inf Model. 2013 Feb 25;53(2):509-18. doi: 10.1021/ci300513m. Epub 2013 Jan 22.
The MQN-mapplet is a Java application giving access to the structure of small molecules in large databases via color-coded maps of their chemical space. These maps are projections from a 42-dimensional property space defined by 42 integer value descriptors called molecular quantum numbers (MQN), which count different categories of atoms, bonds, polar groups, and topological features and categorize molecules by size, rigidity, and polarity. Despite its simplicity, MQN-space is relevant to biological activities. The MQN-mapplet allows localization of any molecule on the color-coded images, visualization of the molecules, and identification of analogs as neighbors on the MQN-map or in the original 42-dimensional MQN-space. No query molecule is necessary to start the exploration, which may be particularly attractive for nonchemists. To our knowledge, this type of interactive exploration tool is unprecedented for very large databases such as PubChem and GDB-13 (almost one billion molecules). The application is freely available for download at www.gdb.unibe.ch.
MQN-mapplet 是一个 Java 应用程序,通过小分子化学空间的彩色图谱,提供对大型数据库中小分子结构的访问。这些图谱是由 42 个整数值描述符(称为分子量子数,MQN)定义的 42 维属性空间的投影,MQN 用于计数不同类别的原子、键、极性基团和拓扑特征,并按大小、刚性和极性对分子进行分类。尽管很简单,但 MQN 空间与生物活性有关。MQN-mapplet 允许在彩色编码图像上定位任何分子,可视化分子,并在 MQN 图谱或原始的 42 维 MQN 空间中识别类似物作为邻居。无需查询分子即可开始探索,这对于非化学家来说可能特别有吸引力。据我们所知,这种类型的交互式探索工具对于像 PubChem 和 GDB-13(近 10 亿个分子)这样的大型数据库来说是前所未有的。该应用程序可在 www.gdb.unibe.ch 上免费下载。