Title of article :
Stochastic dynamics modeling of the protein sequence length distribution in genomes: implications for microbial evolution
Author/Authors :
Rinku Jain، نويسنده , , S. Ramakumar، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1999
Pages :
10
From page :
476
To page :
485
Abstract :
In this paper, we report an analysis of the protein sequence length distribution for 13 bacteria, four archaea and one eukaryote whose genomes have been completely sequenced. The frequency distribution of protein sequence length for all the 18 organisms are remarkably similar, independent of genome size and can be described in terms of a lognormal probability distribution function. A simple stochastic model based on multiplicative processes has been proposed to explain the sequence length distribution. The stochastic model supports the random-origin hypothesis of protein sequences in genomes. Distributions of large proteins deviate from the overall lognormal behavior. Their cumulative distribution follows a power-law analogous to Paretoʹs law used to describe the income distribution of the wealthy. The protein sequence length distribution in genomes of organisms has important implications for microbial evolution and applications.
Journal title :
Physica A Statistical Mechanics and its Applications
Serial Year :
1999
Journal title :
Physica A Statistical Mechanics and its Applications
Record number :
866215
Link To Document :
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