Predicting protein function from sequence and structural data

被引:219
作者
Watson, JD [1 ]
Laskowski, RA [1 ]
Thornton, JM [1 ]
机构
[1] EMBL, European Bioinformat Inst, Cambridge CB10 1SD, England
基金
美国国家卫生研究院;
关键词
D O I
10.1016/j.sbi.2005.04.003
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
When a protein's function cannot be experimentally determined, it can often be inferred from sequence similarity. Should this process fail, analysis of the protein structure can provide functional clues or confirm tentative functional assignments inferred from the sequence. Many structure-based approaches exist (e.g. fold similarity, three-dimensional templates), but as no single method can be expected to be successful in all cases, a more prudent approach involves combining multiple methods. Several automated servers that integrate evidence from multiple sources have been released this year and particular improvements have been seen with methods utilizing the Gene Ontology functional annotation schema.
引用
收藏
页码:275 / 284
页数:10
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