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蛋白质功能预测——多样性的力量。

Protein function prediction--the power of multiplicity.

作者信息

Rentzsch Robert, Orengo Christine A

机构信息

Institute of Structural and Molecular Biology, University College London, London, WC1E 6BT, UK.

出版信息

Trends Biotechnol. 2009 Apr;27(4):210-9. doi: 10.1016/j.tibtech.2009.01.002. Epub 2009 Feb 27.

Abstract

Advances in experimental and computational methods have quietly ushered in a new era in protein function annotation. This 'age of multiplicity' is marked by the notion that only the use of multiple tools, multiple evidence and considering the multiple aspects of function can give us the broad picture that 21st century biology will need to link and alter micro- and macroscopic phenotypes. It might also help us to undo past mistakes by removing errors from our databases and prevent us from producing more. On the downside, multiplicity is often confusing. We therefore systematically review methods and resources for automated protein function prediction, looking at individual (biochemical) and contextual (network) functions, respectively.

摘要

实验方法和计算方法的进步悄然开启了蛋白质功能注释的新时代。这个“多元时代”的标志是这样一种观念,即只有使用多种工具、多种证据并考虑功能的多个方面,才能让我们全面了解21世纪生物学将需要联系和改变微观和宏观表型的全貌。它还可能有助于我们通过清除数据库中的错误来纠正过去的错误,并防止我们产生更多错误。不利的一面是,多元性往往令人困惑。因此,我们系统地回顾了自动蛋白质功能预测的方法和资源,分别着眼于个体(生化)功能和背景(网络)功能。

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