Validation of random birth-death model of evolution of proteome complexity

被引：0

作者：

Kuznetsov, V. A. ^{[1
]}

机构：

[1] NIH, CIT, Bethesda, MD 20892 USA

来源：

Proceedings of the Fourth International Conference on Bioinformatics of Genome Regulation and Structure, Vol 1 | 2004年

关键词：

proteome complexity; evolution; domain-to-protein links; skew distributions;

D O I：

暂无

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We have shown that counting the domain-to-protein links observed in the protein and protein domain/motifs data sets and analysis of statistical distributions of these counts lead to common probabilistic model of evolution of proteome complexity of the archael, bacterial and eukaryotic organisms (Kuznetsov et al., 2002; Kuznetsov, 2003a, b). In this work, using InterPro data sets, we test several basic assumptions and predictions of our model.

引用

页码：298 / 302

页数：5

共 3 条

[1] Hypergeometric model of evolution of conserved protein coding sequences in the proteomes
Kuznetsov, VA
[J]. FLUCTUATION AND NOISE LETTERS, 2003, 3 (03): : L295 - L324
[2] Family of skewed distributions associated with the gene expression and proteome evolution
Kuznetsov, VA
[J]. SIGNAL PROCESSING, 2003, 83 (04) : 889 - 910
[3] Analysis of the evolving proteomes: Predictions of the number of protein domains in nature and the number of genes in eukaryotic organisms
Kuznetsov, VA
Pickalov, VV
Senko, OV
Knott, GD
[J]. JOURNAL OF BIOLOGICAL SYSTEMS, 2002, 10 (04) : 381 - 407

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