Del Rio Alberto, Barbosa Arménio Jorge Moura, Caporuscio Fabiana, Mangiatordi Giuseppe Felice
Dipartimento di Scienze Farmaceutiche, Università di Modena e Reggio Emilia, Via Campi 183, 41100 Modena, Italy.
Mol Biosyst. 2010 Nov;6(11):2122-8. doi: 10.1039/c0mb00039f. Epub 2010 Aug 9.
In the last few decades, virtual screening has proved to be able to guide the selection of new hit compounds with predefined biological activity. However, the usage of these computational techniques is often associated with resource- and time-consuming preparation protocols. In this work we present Commercial Compound Collection (CoCoCo), a suite of free and ready-to-use chemical databases to help setting up in silico screening projects. CoCoCo collects molecular structural information of commercial compounds from various chemical vendors by merging them in a unique, non-redundant format. CoCoCo databases are prepared with transparent and straightforward routines based on state-of-the-art computational tools that introduce comprehensive structural information about tautomers, stereoisomers and conformational states of each compound. CoCoCo suite is especially conceived as a set of valuable tools that may help a wide range of researchers who wish to initiate their own project in the field of computational drug design. CoCoCo suite is available free of charge at the website .
在过去几十年中,虚拟筛选已被证明能够指导具有预定义生物活性的新命中化合物的选择。然而,这些计算技术的使用通常与资源和时间消耗大的制备方案相关联。在这项工作中,我们展示了商业化合物集合(CoCoCo),这是一套免费且即用型的化学数据库,以帮助建立计算机筛选项目。CoCoCo通过以独特的、非冗余的格式合并来自各种化学供应商的商业化合物的分子结构信息。CoCoCo数据库是基于先进的计算工具,通过透明且直接的程序制备的,这些工具引入了每种化合物的互变异构体、立体异构体和构象状态的全面结构信息。CoCoCo套件特别被设想为一组有价值的工具,可帮助广泛的研究人员在计算药物设计领域启动他们自己的项目。CoCoCo套件可在网站上免费获取。