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We simulate the evolution of model protein sequences subject to mutations. A mutation is considered neutral if it conserves 1) the structure of the ground state, 2) its thermodynamic stability and 3) its kinetic accessibility. All other…

统计力学 · 物理学 2007-05-23 Ugo Bastolla , H. Eduardo Roman , Michele Vendruscolo

It is well known amongst molecular biologists that proteins with a common ancestor and that perform the same function in similar organisms, can have rather different amino-acid sequences. Mutations have altered the amino-acid sequences…

软凝聚态物质 · 物理学 2009-11-10 Richard P. Sear

Stochastic models of sequential mutation acquisition are widely used to quantify cancer and bacterial evolution. Across manifold scenarios, recurrent research questions are: how many cells are there with $n$ alterations, and how long will…

种群与进化 · 定量生物学 2023-07-07 Michael D. Nicholson , David Cheek , Tibor Antal

Molecular phenotypes are important links between genomic information and organismic functions, fitness, and evolution. Complex phenotypes, which are also called quantitative traits, often depend on multiple genomic loci. Their evolution…

种群与进化 · 定量生物学 2015-06-12 Armita Nourmohammad , Stephan Schiffels , Michael Laessig

The number of fixed mutations accumulated in an evolving population often displays a variance that is significantly larger than the mean (the overdispersed molecular clock). By examining a generic evolutionary process on a neutral network…

种群与进化 · 定量生物学 2009-11-13 Alpan Raval

Modern biomedicine is challenged to predict the effects of genetic variation. Systematic functional assays of point mutants of proteins have provided valuable empirical information, but vast regions of sequence space remain unexplored.…

生物大分子 · 定量生物学 2017-01-18 Thomas A. Hopf , John B. Ingraham , Frank J. Poelwijk , Michael Springer , Chris Sander , Debora S. Marks

Neutral evolution is the simplest model of molecular evolution and thus it is most amenable to a comprehensive theoretical investigation. In this paper, we characterize the statistical properties of neutral evolution of proteins under the…

凝聚态物理 · 物理学 2007-05-23 Ugo Bastolla , Markus Porto , H. Eduardo Roman , Michele Vendruscolo

The study of genomic variation has provided key insights into the functional role of mutations. Predominantly, studies have focused on single nucleotide variants (SNV), which are relatively easy to detect and can be described with rich…

基因组学 · 定量生物学 2015-09-04 Daniel R. Zerbino , Tracy Ballinger , Benedict Paten , Glenn Hickey , David Haussler

We study a general setting of neutral evolution in which the population is of finite, constant size and can have spatial structure. Mutation leads to different genetic types ("traits"), which can be discrete or continuous. Under minimal…

种群与进化 · 定量生物学 2018-11-02 Alex McAvoy , Ben Adlam , Benjamin Allen , Martin A. Nowak

We study a simple model of DNA evolution in a growing population of cells. Each cell contains a nucleotide sequence which randomly mutates at cell division. Cells divide according to a branching process. Following typical parameter values…

概率论 · 数学 2020-06-05 David Cheek , Tibor Antal

Evolution has fascinated quantitative and physical scientists for decades: how can the random process of mutation, recombination, and duplication of genetic information generate the diversity of life? What determines the rate of evolution?…

种群与进化 · 定量生物学 2018-04-23 Richard A. Neher , Aleksandra M. Walczak

Observations of elemental abundances in the Galaxy have repeatedly shown an intrinsic scatter as a function of time and metallicity. The standard approach to chemical evolution does not attempt to address this scatter in abundances since…

天体物理学 · 物理学 2009-10-28 Craig J. Copi

Identifying and characterizing mutational paths is an important issue in evolutionary biology and in bioengineering. We here introduce a generic description of mutational paths in terms of the goodness of sequences and of the mutational…

生物大分子 · 定量生物学 2023-03-29 Eugenio Mauri , Simona Cocco , Rémi Monasson

A change of variables is introduced to reduce certain nonlinear stochastic evolution equations with multiplicative noise to the corresponding deterministic equation. The result is then used to investigate a stochastic porous medium…

概率论 · 数学 2007-07-24 S. V. Lototsky

We study the stochastic evolution of four species in cyclic competition in a well mixed environment. In systems composed of a finite number $N$ of particles these simple interaction rules result in a rich variety of extinction scenarios,…

统计力学 · 物理学 2012-07-09 C. H. Durney , S. O. Case , M. Pleimling , R. K. P. Zia

We examine the impact of discrete numbers of stars in stellar populations on the results of Chemical Evolution Models. We explore the resulting dispersion in the true yields and their possible relation with the dispersion in observational…

天体物理学 · 物理学 2009-11-07 M. Cervino , M. Molla

The dynamics of tumour evolution are not well understood. In this paper we provide a statistical framework for evaluating the molecular variation observed in different parts of a colorectal tumour. A multi-sample version of the Ewens…

种群与进化 · 定量生物学 2010-04-26 A. D. Barbour , Simon Tavaré

We study a minimal model for genome evolution whose elementary processes are single site mutation, duplication and deletion of sequence regions and insertion of random segments. These processes are found to generate long-range correlations…

基因组学 · 定量生物学 2007-05-23 Philipp W. Messer , Peter F. Arndt , Michael Lässig

A gene's rate of sequence evolution is among the most fundamental evolutionary quantities in common use, but what determines evolutionary rates has remained unclear. Here, we show that the two most commonly used methods to disentangle the…

种群与进化 · 定量生物学 2007-05-23 D. Allan Drummond , Alpan Raval , Claus O. Wilke

An equation describing the evolution of phenotypic distribution is derived using methods developed in statistical physics. The equation is solved by using the singular perturbation method, and assuming that the number of bases in the…

种群与进化 · 定量生物学 2009-11-13 Katsuhiko Sato , Kunihiko Kaneko
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