• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Computational limits to binary genes.二进制基因的计算极限。
J R Soc Interface. 2010 Jun 6;7(47):945-54. doi: 10.1098/rsif.2009.0474. Epub 2009 Dec 9.
2
Negative feedback and physical limits of genes.负反馈和基因的物理极限。
J Theor Biol. 2011 Sep 7;284(1):82-91. doi: 10.1016/j.jtbi.2011.06.021. Epub 2011 Jun 25.
3
Balancing Biomechanical Constraints: Optimal Escape Speeds When There Is a Trade-off between Speed and Maneuverability.平衡生物力学限制:速度与机动性存在权衡时的最优逃逸速度
Integr Comp Biol. 2015 Dec;55(6):1142-54. doi: 10.1093/icb/icv103. Epub 2015 Sep 2.
4
Optimal speeds for walking and running, and walking on a moving walkway.步行、跑步以及在自动人行道上行走的最佳速度。
Chaos. 2009 Jun;19(2):026112. doi: 10.1063/1.3141428.
5
Performance limits and trade-offs in entropy-driven biochemical computers.熵驱动生物化学计算机的性能限制和权衡。
J Theor Biol. 2018 Apr 14;443:1-9. doi: 10.1016/j.jtbi.2018.01.022. Epub 2018 Feb 3.
6
Intraspecific variation in aerobic and anaerobic locomotion: gilthead sea bream (Sparus aurata) and Trinidadian guppy (Poecilia reticulata) do not exhibit a trade-off between maximum sustained swimming speed and minimum cost of transport.种内有氧和无氧运动的变化:金头鲷(Sparus aurata)和特立尼达孔雀鱼(Poecilia reticulata)在最大持续游泳速度和最低运输成本之间没有表现出权衡。
Front Physiol. 2015 Feb 17;6:43. doi: 10.3389/fphys.2015.00043. eCollection 2015.
7
Sex Differences in Incline-Walking among Humans.人类在爬坡行走中的性别差异。
Integr Comp Biol. 2015 Dec;55(6):1155-65.
8
Optimal parameter settings for information processing in gene regulatory networks.基因调控网络中信息处理的最优参数设置。
Biosystems. 2011 May-Jun;104(2-3):99-108. doi: 10.1016/j.biosystems.2011.01.006. Epub 2011 Jan 21.
9
Noise, cost and speed-accuracy trade-offs: decision-making in a decentralized system.噪声、成本与速度-准确性权衡:分散系统中的决策制定
J R Soc Interface. 2006 Apr 22;3(7):243-54. doi: 10.1098/rsif.2005.0075.
10
The metabolic cost of changing walking speeds is significant, implies lower optimal speeds for shorter distances, and increases daily energy estimates.改变步行速度的代谢成本很高,这意味着较短距离的最佳速度较低,并且会增加每日能量消耗估算值。
Biol Lett. 2015 Sep;11(9):20150486. doi: 10.1098/rsbl.2015.0486.

引用本文的文献

1
Synergising single-cell resolution and 4sU labelling boosts inference of transcriptional bursting.单细胞分辨率与 4sU 标记的协同作用提高了对转录爆发的推断。
Genome Biol. 2023 Jun 16;24(1):138. doi: 10.1186/s13059-023-02977-y.
2
Periodic synchronization of isolated network elements facilitates simulating and inferring gene regulatory networks including stochastic molecular kinetics.周期性同步孤立网络元素有助于模拟和推断基因调控网络,包括随机分子动力学。
BMC Bioinformatics. 2022 Jan 5;23(1):13. doi: 10.1186/s12859-021-04541-6.
3
Added value of autoregulation and multi-step kinetics of transcription initiation.转录起始的自动调节和多步动力学的附加值。
R Soc Open Sci. 2018 Nov 28;5(11):181170. doi: 10.1098/rsos.181170. eCollection 2018 Nov.
4
Gene switching rate determines response to extrinsic perturbations in the self-activation transcriptional network motif.基因切换率决定了自我激活转录网络基序对外源扰动的响应。
Sci Rep. 2016 Jun 3;6:26980. doi: 10.1038/srep26980.
5
The lag-phase during diauxic growth is a trade-off between fast adaptation and high growth rate.在双相生长期间的延迟期是快速适应和高生长速率之间的一种权衡。
Sci Rep. 2016 Apr 29;6:25191. doi: 10.1038/srep25191.
6
In silico evolution of diauxic growth.双相生长的计算机模拟进化
BMC Evol Biol. 2015 Sep 29;15:211. doi: 10.1186/s12862-015-0492-0.
7
Homotypic clusters of transcription factor binding sites: A model system for understanding the physical mechanics of gene expression.转录因子结合位点的同型簇:用于理解基因表达物理机制的模型系统。
Comput Struct Biotechnol J. 2014 Aug 1;10(17):63-9. doi: 10.1016/j.csbj.2014.07.005. eCollection 2014 Jul.
8
Facilitated diffusion buffers noise in gene expression.易化扩散缓冲基因表达中的噪声。
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Sep;90(3):032701. doi: 10.1103/PhysRevE.90.032701. Epub 2014 Sep 2.
9
Physical constraints determine the logic of bacterial promoter architectures.物理约束决定了细菌启动子结构的逻辑。
Nucleic Acids Res. 2014 Apr;42(7):4196-207. doi: 10.1093/nar/gku078. Epub 2014 Jan 29.
10
The effects of transcription factor competition on gene regulation.转录因子竞争对基因调控的影响。
Front Genet. 2013 Oct 7;4:197. doi: 10.3389/fgene.2013.00197. eCollection 2013.

本文引用的文献

1
Models of transcription factor binding: sensitivity of activation functions to model assumptions.转录因子结合模型:激活函数对模型假设的敏感性。
J Theor Biol. 2009 Apr 7;257(3):419-29. doi: 10.1016/j.jtbi.2008.11.026. Epub 2008 Dec 10.
2
Regulatory activity revealed by dynamic correlations in gene expression noise.基因表达噪声中动态相关性揭示的调控活性
Nat Genet. 2008 Dec;40(12):1493-8. doi: 10.1038/ng.281.
3
Nature, nurture, or chance: stochastic gene expression and its consequences.天性、 nurture 还是机遇:随机基因表达及其影响。 (注:“nurture”常见释义为“养育;培育;教养” ,这里结合语境更像是与“天性(Nature)”相对的后天因素,可灵活意译为后天因素,但直接保留英文也不影响理解其在该语境下大概是与天性相对的概念)
Cell. 2008 Oct 17;135(2):216-26. doi: 10.1016/j.cell.2008.09.050.
4
Noise generation, amplification and propagation in chemotactic signaling systems of living cells.活细胞趋化信号系统中的噪声产生、放大及传播
Biosystems. 2008 Jul-Aug;93(1-2):126-32. doi: 10.1016/j.biosystems.2008.04.003. Epub 2008 Apr 22.
5
Signal transduction network motifs and biological memory.信号转导网络基序与生物记忆。
J Theor Biol. 2007 Jun 21;246(4):755-61. doi: 10.1016/j.jtbi.2007.01.022. Epub 2007 Feb 6.
6
Stochastic gene expression: from single molecules to the proteome.随机基因表达:从单分子到蛋白质组
Curr Opin Genet Dev. 2007 Apr;17(2):107-12. doi: 10.1016/j.gde.2007.02.007. Epub 2007 Feb 20.
7
Noise in protein expression scales with natural protein abundance.蛋白质表达中的噪音与天然蛋白质丰度成比例。
Nat Genet. 2006 Jun;38(6):636-43. doi: 10.1038/ng1807. Epub 2006 May 21.
8
Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise.酿酒酵母的单细胞蛋白质组学分析揭示了生物噪声的结构。
Nature. 2006 Jun 15;441(7095):840-6. doi: 10.1038/nature04785. Epub 2006 May 14.
9
Contributions of low molecule number and chromosomal positioning to stochastic gene expression.低分子数和染色体定位对随机基因表达的贡献。
Nat Genet. 2005 Sep;37(9):937-44. doi: 10.1038/ng1616. Epub 2005 Aug 7.
10
Stochasticity in gene expression: from theories to phenotypes.基因表达中的随机性:从理论到表型。
Nat Rev Genet. 2005 Jun;6(6):451-64. doi: 10.1038/nrg1615.

二进制基因的计算极限。

Computational limits to binary genes.

机构信息

School of Computing, University of Kent, Canterbury CT2 7NF, UK.

出版信息

J R Soc Interface. 2010 Jun 6;7(47):945-54. doi: 10.1098/rsif.2009.0474. Epub 2009 Dec 9.

DOI:10.1098/rsif.2009.0474
PMID:20007173
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2871807/
Abstract

We analyse the trade-off between the speed with which a gene can propagate information, the noise of its output and its metabolic cost. Our main finding is that for any given level of metabolic cost there is an optimal trade-off between noise and processing speed. Any system with a non-vanishing leak expression rate is suboptimal, i.e. it will exhibit higher noise and/or slower speed than leak-free systems with the same metabolic cost. We also show that there is an optimal Hill coefficient h which minimizes noise and metabolic cost at fixed speeds, and an optimal threshold K which minimizes noise.

摘要

我们分析了基因在传播信息的速度、输出的噪声和代谢成本之间的权衡。我们的主要发现是,对于任何给定的代谢成本水平,噪声和处理速度之间都存在最佳的权衡。任何具有非零泄漏表达率的系统都是次优的,即与具有相同代谢成本的无泄漏系统相比,它将表现出更高的噪声和/或更慢的速度。我们还表明,存在一个最优的 Hill 系数 h,它在固定速度下最小化噪声和代谢成本,以及一个最优的阈值 K,它最小化噪声。