ANALYSIS OF THE EVOLVING PROTEOMES: PREDICTIONS OF THE NUMBER OF PROTEIN DOMAINS IN NATURE AND THE NUMBER OF GENES IN EUKARYOTIC ORGANISMS

DOI10.1142/S0218339002000767zbMath1113.92310OpenAlexW2017864184MaRDI QIDQ5468559

O. V. Sen'ko, Valery Pickalov, Vladimir A. Kuznetsov, Gary D. Knott

Publication date: 10 May 2006

Published in: Journal of Biological Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218339002000767

zbMATH Keywords

stochastic processevolutionnumber of genesPareto-like distributionnumber of protein domainsproteome complexity

Mathematics Subject Classification ID

Applications of branching processes (60J85) Biochemistry, molecular biology (92C40) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)

Related Items (3)

Modeling and simulation studies for some truncated discrete distributions generated by stable densities ⋮ Asymptotic properties of maximum likelihood estimators for a generalized Pareto-type distribution ⋮ Unnamed Item

Cites Work

• Distribution associated with stochastic processes of gene expression in a single eukaryotic cell

This page was built for publication: ANALYSIS OF THE EVOLVING PROTEOMES: PREDICTIONS OF THE NUMBER OF PROTEIN DOMAINS IN NATURE AND THE NUMBER OF GENES IN EUKARYOTIC ORGANISMS