Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Universal features in the genome-level evolution of protein domains. | Research Open Access Universal features in the genome-level evolution of protein domains Marco Cosentino Lagomarsino Alessandro L Sellerio Philip D Heijning and Bruno Bassetti Addresses Università degli Studi di Milano Dip. Fisica. Via Celoria 16 20133 Milano Italy. INFN Via Celoria 16 20133 Milano Italy. Correspondence Marco Cosentino Lagomarsino. Email Published 30 January 2009 Genome Biology 2009 10 R12 doi gb-2009- 10-1-r12 The electronic version of this article is the complete one and can be found online at http 2009 10 1 R12 Received 4 December 2008 Revised 22 January 2009 Accepted 30 January 2009 2009 Cosentino Lagomarsino et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Protein domains can be used to study proteome evolution at a coarse scale. In particular they are found on genomes with notable statistical distributions. It is known that the distribution of domains with a given topology follows a power law. We focus on a further aspect these distributions and the number of distinct topologies follow collective trends or scaling laws depending on the total number of domains only and not on genome-specific features. Results We present a stochastic duplication innovation model in the class of the so-called Chinese restaurant processes that explains this observation with two universal parameters representing a minimal number of domains and the relative weight of innovation to duplication. Furthermore we study a model variant where new topologies are related to occurrence in genomic data accounting for fold specificity. Conclusions Both models have general quantitative agreement with data from hundreds of genomes which indicates that the .
