The current excitement in bioinformatics - analysis of whole-genome expression data: how does it relate to protein structure and function?
The current excitement in bioinformatics - analysis of whole-genome expression data: how does it relate to protein structure and function?
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DOI：
10.1016/s0959-440x(00)00134-2
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发表时间：
2000-10-01
影响因子：
6.8
通讯作者：
Jansen, R
中科院分区：
文献类型：
--
作者：
Gerstein, M;Jansen, R
全基因组表达谱为生物信息学提供了丰富的新数据。对这些图谱的初步分析包括对蛋白质结构和功能的“外部”信息进行聚类和交叉引用。表达谱簇确实与蛋白质功能相关，但相关性并不完美，部分差异是由于难以一致地定义功能。蛋白质的其他属性也可能与表达有关-特别是结构和定位-有时比功能更清楚地显示出关系。
Whole-genome expression profiles provide a rich new data-trove for bioinformatics. Initial analyses of the profiles have included clustering and cross-referencing to 'external' information on protein structure and function. Expression profile clusters do relate to protein function, but the correlation is not perfect, with the discrepancies partially resulting from the difficulty in consistently defining function. Other attributes of proteins can also be related to expression - in particular, structure and localization - and sometimes show a clearer relationship than function.