We analyze a simple discrete-time stochastic process for the theoretical modeling of the evolution of protein lengths. At every step of the process, a new protein is produced as a modi¿cation of one of the proteins already existing, and its length is assumed to be a random variable that depends only on the length of the originating protein. Thus a random recursive tree is produced over the natural numbers. If quasi scale invariance is assumed, the length distribution in a single history tends to a log-normal form with a speci¿c signature of the deviations from exact Gaussianity. Comparison with the very large Similarity Matrix of Proteins database shows good agreement.
Destri C., & Miccio C. (2007). Simple stochastic model for the evolution of protein lengths. PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS, PHYSICAL REVIEW E 76, 011924 2007.
Citazione: | Destri C., & Miccio C. (2007). Simple stochastic model for the evolution of protein lengths. PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS, PHYSICAL REVIEW E 76, 011924 2007. |
Tipo: | Articolo in rivista - Articolo scientifico |
Carattere della pubblicazione: | Scientifica |
Titolo: | Simple stochastic model for the evolution of protein lengths |
Autori: | Destri C.; Miccio C. |
Autori: | |
Data di pubblicazione: | 30-lug-2007 |
Lingua: | English |
Rivista: | PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1103/PhysRevE.76.011924 |
Appare nelle tipologie: | 01 - Articolo su rivista |
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