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首页> 外文期刊>Crystal growth & design >The biological crystallization resource: Facilitating knowledge-based protein crystallizations
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The biological crystallization resource: Facilitating knowledge-based protein crystallizations

机译：生物结晶资源：促进基于知识的蛋白质结晶

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摘要

The Biological Crystallization Resource (BCR) is a fully standardized, searchable, and comprehensive database of known crystallization conditions of biological macromolecular structures determined by X-ray crystallographic techniques, with a current total of over 18 000 entries. It was created to facilitate the discovery of the relationships between the properties of biological molecules and their optimal crystallization conditions. Construction and maintenance of the database make use of advanced data mining and manipulation techniques, with the associated software being capable of executing single or multiple parameter searches of database entries to determine optimal crystallization conditions for new targets of structural studies. It is a knowledge-based approach to deriving crystallization conditions designed to improve upon the very limited success rates observed for the random sparse matrix based screening methods currently widely employed in the field. Test results clearly demonstrate the predictive ability of BCR-derived knowledge-based crystallization screens, which not only deliver a more focused set of trial conditions but also the expectation of much higher crystallization success rates. The full BCR database, a comprehensive manual, and example demonstration are available at the following Web site: http://www.growacrystal.com.
机译：生物结晶资源（BCR）是通过X射线晶体学技术确定的生物大分子结构已知结晶条件的完全标准化，可搜索和全面的数据库，当前共有18 000多个条目。它的创建是为了促进发现生物分子的性质与其最佳结晶条件之间的关系。数据库的构建和维护利用了先进的数据挖掘和处理技术，相关的软件能够对数据库条目执行单参数或多参数搜索，以确定用于结构研究新目标的最佳结晶条件。这是一种基于结晶的推导结晶条件的方法，旨在提高目前在本领域中广泛使用的基于随机稀疏矩阵的筛选方法所观察到的非常有限的成功率。测试结果清楚地证明了BCR衍生的基于知识的结晶筛选的预测能力，这不仅提供了更加集中的一组试验条件，而且还期望获得更高的结晶成功率。完整的BCR数据库，全面的手册和示例演示可在以下网站上找到：http://www.growacrystal.com。

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