Template-based prediction of protein function

被引：32

作者：

Petrey, Donald ^{[1
]}

Chen, T. Scott ^{[1
]}

Deng, Lei ^{[1
]}

Garzon, Jose Ignacio ^{[1
]}

Hwang, Howook ^{[1
]}

Lasso, Gorka ^{[1
]}

Lee, Hunjoong ^{[1
]}

Silkov, Antonina ^{[1
]}

Honig, Barry ^{[1
]}

机构：

[1] Howard Hughes Med Inst, Dept Biochem & Mol Biophys, Dept Syst Biol, Ctr Computat Biol & Bioinformat, New York, NY 10032 USA

来源：

CURRENT OPINION IN STRUCTURAL BIOLOGY | 2015年 / 32卷

关键词：

WEB SERVER; EXPERIMENTAL VALIDATION; BINDING RESIDUES; SITES; SCALE; SPECIFICITY; ANNOTATION; ALGORITHM; NETWORKS;

D O I：

10.1016/j.sbi.2015.01.007

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

We discuss recent approaches for structure-based protein function annotation. We focus on template-based methods where the function of a query protein is deduced from that of a template for which both the structure and function are known. We describe the different ways of identifying a template. These are typically based on sequence analysis but new methods based on purely structural similarity are also being developed that allow function annotation based on structural relationships that cannot be recognized by sequence. The growing number of available structures of known function, improved homology modeling techniques and new developments in the use of structure allow template-based methods to be applied on a proteome-wide scale and in many different biological contexts. This progress significantly expands the range of applicability of structural information in function annotation to a level that previously was only achievable by sequence comparison.

引用

页码：33 / 38

页数：6

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