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相关论文: Why highly expressed proteins evolve slowly

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How robust is the natural genetic code with respect to mistranslation errors? It has long been known that the genetic code is very efficient in limiting the effect of point mutation. A misread codon will commonly code either for the same…

生物物理 · 物理学 2009-11-03 Dimitri Gilis , Serge Massar , Nicolas Cerf , Marianne Rooman

Genetic oscillators are present in the cells of many organisms and control several biological processes. The common feature of such oscillators is the presence of a protein which represses the transcription of its own gene. Recently, it has…

分子网络 · 定量生物学 2017-06-07 Nahuel Almeira , Sebastian Risau Gusman

The processes of gene expression are inherently stochastic, even for essential genes required for growth. How does the cell maximize fitness in light of noise? To answer this question, we build a mathematical model to explore the trade-off…

分子网络 · 定量生物学 2024-11-13 Teresa W. Lo , Han James Choi , Dean Huang , Paul A. Wiggins

Transcription factor binding sites vary in their specificity, both within and between species. Binding specificity has a strong impact on the evolution of gene expression, because it determines how easily regulatory interactions are gained…

种群与进化 · 定量生物学 2013-12-30 Alexander J. Stewart , Joshua B. Plotkin

Mutation rate is a key determinant of the pace as well as outcome of evolution, and variability in this rate has been shown in different scenarios to play a key role in evolutionary adaptation and resistance evolution under stress caused by…

种群与进化 · 定量生物学 2019-03-01 Dalit Engelhardt , Eugene I. Shakhnovich

This paper focuses on the maximum speed at which biological evolution can occur. I derive inequalities that limit the rate of evolutionary processes driven by natural selection, mutations, or genetic drift. These \emph{rate limits} link the…

种群与进化 · 定量生物学 2024-06-17 Luis Pedro García-Pintos

Translation is a key step in the synthesis of proteins. Accordingly, cells have evolved an intricate array of control mechanisms to regulate this process. By constructing a multi-component mathematical framework for translation we uncover…

生物物理 · 物理学 2019-12-04 Liang Wang , M. Carmen Romano , Fordyce A. Davidson

The evolutionary reason for the increase in gene length from archaea to prokaryotes to eukaryotes observed in large scale genome sequencing efforts has been unclear. We propose here that the increasing complexity of protein-protein…

分子网络 · 定量生物学 2009-11-10 Taison Tan , Daan Frenkel , Vishal Gupta , Michael W. Deem

Cells adapt to different conditions by altering a vast number of components, which is measurable using transcriptome analysis. Given that a cell undergoing steady growth is constrained to sustain each of its internal components, the…

细胞行为 · 定量生物学 2014-07-15 Kunihiko Kaneko , Chikara Furusawa , Tetsuya Yomo

The rate of mRNA translation depends on the initiation, elongation, and termination rates of ribosomes along the mRNA. These rates depend on many "local" factors like the abundance of free ribosomes and tRNA molecules in the vicinity of the…

亚细胞过程 · 定量生物学 2021-02-25 Michael Margaliot , Wasim Huleihel , Tamir Tuller

Gene expression is a central process to any form of life. It involves multiple temporal and functional scales that extend from specific protein-DNA interactions to the coordinated regulation of multiple genes in response to intracellular…

分子网络 · 定量生物学 2013-07-11 Jose M. G. Vilar , Leonor Saiz

How proteins fold remains a central unsolved problem in biology. While the idea of a folding code embedded in the amino acid sequence was introduced more than 6 decades ago, this code remains undefined. While we now have powerful predictive…

生物大分子 · 定量生物学 2025-11-04 Carlos Bustamante , Christian Kaiser , Erik Lindahl , Robert Sosa , Giovanni Volpe

Asymmetric segregation of key proteins at cell division -- be it a beneficial or deleterious protein -- is ubiquitous in unicellular organisms and often considered as an evolved trait to increase fitness in a stressed environment. Here, we…

种群与进化 · 定量生物学 2019-02-20 Jie Lin , Jiseon Min , Ariel Amir

The expression of genes usually follows a two-step procedure. First, a gene (encoded in the genome) is transcribed resulting in a strand of (messenger) RNA. Afterwards, the RNA is translated into protein. Classically, this gene expression…

分子网络 · 定量生物学 2014-08-08 Martin Jansen , Peter Pfaffelhuber

Experiments in recent years have vividly demonstrated that gene expression can be highly stochastic. How protein concentration fluctuations affect the growth rate of a population of cells, is, however, a wide open question. We present a…

分子网络 · 定量生物学 2015-05-13 Sorin Tanase-Nicola , Pieter Rein ten Wolde

The evolution of the full repertoire of proteins encoded in a given genome is mostly driven by gene duplications, deletions, and sequence modifications of existing proteins. Indirect information about relative rates and other intrinsic…

基因组学 · 定量生物学 2008-03-25 Jacob Bock Axelsen , Koon-Kiu Yan , Sergei Maslov

An important occurrence in many cellular contexts is the crossing of a prescribed threshold by a regulatory protein. The timing of such events is stochastic as a consequence of the innate randomness in gene expression. A question of…

分子网络 · 定量生物学 2017-02-24 Khem Raj Ghusinga , Abhyudai Singh

Enzymes are on the front lines of evolution. All living organisms rely on highly efficient, specific enzymes for growth, sustenance, and reproduction; and many diseases are a consequence of a mutation on an enzyme that affects its catalytic…

分子网络 · 定量生物学 2009-01-07 Nilou Ataie

Very low levels of genetic diversity have been reported in vertebrates with large genomes, notably salamanders and lungfish [1-3]. Interpreting differences in heterozygosity, which reflects genetic diversity in a population, is complicated…

基因组学 · 定量生物学 2013-09-05 John Herrick , Bianca Sclavi

The primary aim of automated performance improvement is to reduce the running time of programs while maintaining (or improving on) functionality. In this paper, Genetic Programming is used to find performance improvements in regular…

神经与进化计算 · 计算机科学 2017-04-14 Brendan Cody-Kenny , Michael Fenton , Adrian Ronayne , Eoghan Considine , Thomas McGuire , Michael O'Neill