Bohl Martin, Loeprecht Björn, Wendt Bernd, Heritage Trevor, Richmond Nicola J, Willett Peter
Tripos GmbH, Martin-Kollar-Strasse 17, D-81829 Munich, Germany.
J Chem Inf Model. 2006 Sep-Oct;46(5):1882-90. doi: 10.1021/ci049657k.
Crystal structures taken from the Cambridge Structural Database were used to build a ring scaffold database containing 19 050 3D structures, with each such scaffold then being used to generate a centroid connecting path (CCP) representation. The CCP is a novel object that connects ring centroids, ring linker atoms, and other important points on the connection path between ring centroids. Unsupervised searching in the scaffold and CCP data sets was carried out using the atom-based LAMDA and RigFit search methods and the field-based similarity search method. The performance of these methods was tested with three different ring scaffold queries. These searches demonstrated that unsupervised 3D scaffold searching methods can find not only the types of ring systems that might be retrieved in carefully defined pharmacophore searches (supervised approach) but also additional, structurally diverse ring systems that could form the starting point for lead discovery programs or other scaffold-hopping applications. Not only are the methods effective but some are sufficiently rapid to permit scaffold searching in large chemical databases on a routine basis.
从剑桥结构数据库获取的晶体结构被用于构建一个包含19050个三维结构的环状支架数据库,然后使用每个这样的支架来生成质心连接路径(CCP)表示。CCP是一种新型对象,它连接环质心、环连接原子以及环质心之间连接路径上的其他重要点。使用基于原子的LAMDA和RigFit搜索方法以及基于场的相似性搜索方法对支架和CCP数据集进行无监督搜索。这些方法的性能通过三个不同的环状支架查询进行了测试。这些搜索表明,无监督三维支架搜索方法不仅可以找到在精心定义的药效团搜索(监督方法)中可能检索到的环系类型,还可以找到其他结构多样的环系,这些环系可以作为先导化合物发现计划或其他支架跳跃应用的起点。这些方法不仅有效,而且有些方法足够快速,能够在大型化学数据库中进行常规的支架搜索。