Georgiy P Karev

Summary

Affiliation: National Institutes of Health
Country: USA

Publications

  1. ncbi Birth and death of protein domains: a simple model of evolution explains power law behavior
    Georgy P Karev
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
    BMC Evol Biol 2:18. 2002
  2. ncbi Replicator equations and the principle of minimal production of information
    G P Karev
    Lockheed Martin MSD, National Institute of Health, Bethesda, MD 20894, USA
    Bull Math Biol 72:1124-42. 2010
  3. ncbi On mathematical theory of selection: continuous time population dynamics
    Georgiy P Karev
    Lockheed Martin MSD, National Institutes of Health, Bldg 38A, Rm 5N511N, 8600 Rockville Pike, Bethesda, MD 20894, USA
    J Math Biol 60:107-29. 2010
  4. ncbi On the asymptotic behaviour of the solutions to the replicator equation
    Georgy P Karev
    National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA
    Math Med Biol 28:89-110. 2011
  5. ncbi Gene family evolution: an in-depth theoretical and simulation analysis of non-linear birth-death-innovation models
    Georgy P Karev
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
    BMC Evol Biol 4:32. 2004
  6. ncbi Simple stochastic birth and death models of genome evolution: was there enough time for us to evolve?
    Georgy P Karev
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
    Bioinformatics 19:1889-900. 2003
  7. ncbi The structure of the protein universe and genome evolution
    Eugene V Koonin
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
    Nature 420:218-23. 2002
  8. ncbi The universal distribution of evolutionary rates of genes and distinct characteristics of eukaryotic genes of different apparent ages
    Yuri I Wolf
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
    Proc Natl Acad Sci U S A 106:7273-80. 2009
  9. ncbi Modeling genome evolution with a diffusion approximation of a birth-and-death process
    Georgy P Karev
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health Bethesda, MD 20894, USA
    Bioinformatics 21:iii12-9. 2005
  10. ncbi Biological applications of the theory of birth-and-death processes
    Artem S Novozhilov
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Besthesda, MD 20894, USA
    Brief Bioinform 7:70-85. 2006

Detail Information

Publications11

  1. ncbi Birth and death of protein domains: a simple model of evolution explains power law behavior
    Georgy P Karev
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
    BMC Evol Biol 2:18. 2002
    ..Exploration of different types of evolutionary models in an attempt to determine which of them lead to power law distributions has the potential of revealing non-trivial aspects of genome evolution...
  2. ncbi Replicator equations and the principle of minimal production of information
    G P Karev
    Lockheed Martin MSD, National Institute of Health, Bethesda, MD 20894, USA
    Bull Math Biol 72:1124-42. 2010
    ..Applications to the Malthusian inhomogeneous models, global demography, and the Eigen quasispecies equation are given...
  3. ncbi On mathematical theory of selection: continuous time population dynamics
    Georgiy P Karev
    Lockheed Martin MSD, National Institutes of Health, Bldg 38A, Rm 5N511N, 8600 Rockville Pike, Bethesda, MD 20894, USA
    J Math Biol 60:107-29. 2010
    ..Applications of the method to the Price equations are given; the solutions of some particular inhomogeneous Malthusian, Ricker and logistic-like models used but not solved in the literature are derived in explicit form...
  4. ncbi On the asymptotic behaviour of the solutions to the replicator equation
    Georgy P Karev
    National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA
    Math Med Biol 28:89-110. 2011
    ..J. Math. Biol., 54, 357-384), for which we show, for an arbitrary dimension of the system and under some suitable conditions, that generically one globally stable equilibrium exits on the 1-skeleton of the simplex...
  5. ncbi Gene family evolution: an in-depth theoretical and simulation analysis of non-linear birth-death-innovation models
    Georgy P Karev
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
    BMC Evol Biol 4:32. 2004
    ..Evolution of ensembles of gene families can be described with Birth, Death, and Innovation Models (BDIMs). Analysis of the properties of different versions of BDIMs has the potential of revealing important features of genome evolution...
  6. ncbi Simple stochastic birth and death models of genome evolution: was there enough time for us to evolve?
    Georgy P Karev
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
    Bioinformatics 19:1889-900. 2003
    ....
  7. ncbi The structure of the protein universe and genome evolution
    Eugene V Koonin
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA
    Nature 420:218-23. 2002
    ..These findings suggest that genome evolution is driven by extremely general mechanisms based on the preferential attachment principle...
  8. ncbi The universal distribution of evolutionary rates of genes and distinct characteristics of eukaryotic genes of different apparent ages
    Yuri I Wolf
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
    Proc Natl Acad Sci U S A 106:7273-80. 2009
    ..Thus, genome evolution fits a simple model with approximately uniform rates of gene gain and loss, without major bursts of genomic innovation...
  9. ncbi Modeling genome evolution with a diffusion approximation of a birth-and-death process
    Georgy P Karev
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health Bethesda, MD 20894, USA
    Bioinformatics 21:iii12-9. 2005
    ....
  10. ncbi Biological applications of the theory of birth-and-death processes
    Artem S Novozhilov
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Besthesda, MD 20894, USA
    Brief Bioinform 7:70-85. 2006
    ....
  11. ncbi Mathematical modeling of evolution of horizontally transferred genes
    Artem S Novozhilov
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Maryland, USA
    Mol Biol Evol 22:1721-32. 2005
    ..Therefore, our modeling results are compatible with the notion of a pivotal role of horizontal gene transfer in the evolution of prokaryotes...