Completeness in structural genomics
Completeness in structural genomics
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DOI：
10.1038/88640
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发表时间：
2001-06-01
期刊：
影响因子：
--
通讯作者：
Sander, C
中科院分区：
文献类型：
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作者：
Vitkup, D;Melamud, E;Sander, C
结构基因组学的目标是通过实验结构测定和比较模型构建相结合来获得所有蛋白质的有用的三维模型。我们评估不同的策略，优化信息回报的努力。最大化结构覆盖率的策略与随机选择目标的策略相比，需要少7倍的结构测定。通过选择合理的模型质量和90%覆盖率的目标，我们外推了结构基因组学的总工作量的估计。要为绝大多数蛋白质构建有用的原子模型，需要16，000个精心挑选的结构测定。在实践中，除非在目标选择方面进行全球协调，否则总的努力可能会增加三倍。如果目标的选择得到高度协调，而且有大量资金，这项任务可以在十年内完成。
Structural genomics has the goal of obtaining useful, three-dimensional models of all proteins by a combination of experimental structure determination and comparative model building. We evaluate different strategies for optimizing information return on effort. The strategy that maximizes structural coverage requires about seven times fewer structure determinations compared with the strategy in which targets are selected at random, With a choice of reasonable model quality and the goal of 90% coverage, we extrapolate the estimate of the total effort of structural genomics. It would take similar to 16,000 carefully selected structure determinations to construct useful atomic models for the vast majority of all proteins. In practice, unless there is global coordination of target selection, the total effort will likely increase by a factor of three. The task can be accomplished within a decade provided that selection of targets is highly coordinated and significant funding is available.