4.8 Article

Structural bioinformatics of the human spliceosomal proteome

期刊

NUCLEIC ACIDS RESEARCH
卷 40, 期 15, 页码 7046-7065

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gks347

关键词

-

资金

  1. EU 6th Framework Programme Network of Excellence EURASNET [EU FP6] [LSHG-CT-2005-518238]
  2. 7th Framework Programme of the European Commission [EC FP7, grant HEALTHPROT] [229676]
  3. European Research Council [ERC] [RNA + P = 123D]
  4. Foundation for Polish Science
  5. Interdisciplinary Centre for Mathematical and Computational Modeling of the University of Warsaw [G27-4]
  6. EC FP7 [229676]
  7. ERC [RNA + P = 123D]

向作者/读者索取更多资源

In this work, we describe the results of a comprehensive structural bioinformatics analysis of the spliceosomal proteome. We used fold recognition analysis to complement prior data on the ordered domains of 252 human splicing proteins. Examples of newly identified domains include a PWI domain in the U5 snRNP protein 200K (hBrr2, residues 258-338), while examples of previously known domains with a newly determined fold include the DUF1115 domain of the U4/U6 di-snRNP protein 90K (hPrp3, residues 540-683). We also established a non-redundant set of experimental models of spliceosomal proteins, as well as constructed in silico models for regions without an experimental structure. The combined set of structural models is available for download. Altogether, over 90% of the ordered regions of the spliceosomal proteome can be represented structurally with a high degree of confidence. We analyzed the reduced spliceosomal proteome of the intron-poor organism Giardia lamblia, and as a result, we proposed a candidate set of ordered structural regions necessary for a functional spliceosome. The results of this work will aid experimental and structural analyses of the spliceosomal proteins and complexes, and can serve as a starting point for multiscale modeling of the structure of the entire spliceosome.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据