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首页> 外文期刊>Journal of Molecular Biology >The automatic discovery of structural principles describing protein fold space.
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The automatic discovery of structural principles describing protein fold space.

机译：自动发现描述蛋白质折叠空间的结构原理。

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摘要

The study of protein structure has been driven largely by the careful inspection of experimental data by human experts. However, the rapid determination of protein structures from structural-genomics projects will make it increasingly difficult to analyse (and determine the principles responsible for) the distribution of proteins in fold space by inspection alone. Here, we demonstrate a machine-learning strategy that automatically determines the structural principles describing 45 folds. The rules learnt were shown to be both statistically significant and meaningful to protein experts. With the increasing emphasis on high-throughput experimental initiatives, machine-learning and other automated methods of analysis will become increasingly important for many biological problems.
机译：蛋白质结构的研究很大程度上是由人类专家对实验数据进行仔细检查而推动的。然而，通过结构基因组学项目快速确定蛋白质结构将使越来越难以通过单独检查来分析（并确定造成折叠空间中的蛋白质）分布。在这里，我们演示了一种机器学习策略，该策略可以自动确定描述45折的结构原理。结果表明，所学规则对蛋白质专家而言具有统计学意义和意义。随着对高通量实验计划的日益重视，机器学习和其他自动化分析方法对于许多生物学问题将变得越来越重要。

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