Protein function annotation using protein domain family resources

被引：27

作者：

Das, Sayoni ^{[1
]}

Orengo, Christine A. ^{[1
]}

机构：

[1] UCL, Inst Struct & Mol Biol, Gower St, London WC1E 6BT, England

来源：

METHODS | 2016年 / 93卷

基金：

英国生物技术与生命科学研究理事会;

关键词：

Protein function prediction; Protein function annotation; Protein family; Protein classification; Moonlighting protein; GENE ONTOLOGY; DATABASE; SEQUENCE; PREDICTION; SUPERFAMILIES; GENERATION; EVOLUTION; CLASSIFICATION; DIVERGENCE; PROGRAM;

D O I：

10.1016/j.ymeth.2015.09.029

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

As a result of the genome sequencing and structural genomics initiatives, we have a wealth of protein sequence and structural data. However, only about I% of these proteins have experimental functional annotations. As a result, computational approaches that can predict protein functions are essential in bridging this widening annotation gap. This article reviews the current approaches of protein function prediction using structure and sequence based classification of protein domain family resources with a special focus on functional families in the CATH-Gene3D resource. (C) 2015 Elsevier Inc. All rights reserved.

引用

页码：24 / 34

页数：11