Biological robustness

被引:1605
|
作者
Kitano, H
机构
[1] Sony Comp Sci Labs Inc, Shinagawa Ku, Tokyo 1410022, Japan
[2] Syst Biol Inst, Tokyo 1500001, Japan
基金
日本科学技术振兴机构;
关键词
D O I
10.1038/nrg1471
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Robustness is a ubiquitously observed property of biological systems. It is considered to be a fundamental feature of complex evolvable systems. It is attained by several underlying principles that are universal to both biological organisms and sophisticated engineering systems. Robustness facilitates evolvability and robust traits are often selected by evolution. Such a mutually beneficial process is made possible by specific architectural features observed in robust systems. But there are trade-offs between robustness, fragility, performance and resource demands, which explain system behaviour, including the patterns of failure. Insights into inherent properties of robust systems will provide us with a better understanding of complex diseases and a guiding principle for therapy design.
引用
收藏
页码:826 / 837
页数:12
相关论文
共 50 条
  • [41] Should We Be Considering Biological Robustness in Proton Therapy?
    Faught, A.
    Wilson, L.
    Gargone, M.
    Pirlepesov, F.
    Moskvin, V.
    Hua, C.
    MEDICAL PHYSICS, 2021, 48 (06)
  • [42] Incoherent Inputs Enhance the Robustness of Biological Oscillators.
    Li, Z.
    Yang, Q.
    MOLECULAR BIOLOGY OF THE CELL, 2017, 28
  • [43] High-order combination effects and biological robustness
    Lehar, Joseph
    Krueger, Andrew
    Zimmermann, Grant
    Borisy, Alexis
    MOLECULAR SYSTEMS BIOLOGY, 2008, 4 (1)
  • [44] Stability and Robustness Analysis of a Class of Cyclic Biological Systems
    Ahsen, Mehmet Eren
    Ozbay, Hitay
    Niculescu, Silviu-Iulian
    TIME DELAY SYSTEMS: THEORY, NUMERICS, APPLICATIONS, AND EXPERIMENTS, 2017, 7 : 155 - 168
  • [45] Biological convolutions improve DNN robustness to noise and generalisation
    Evans, Benjamin D.
    Malhotra, Gaurav
    Bowers, Jeffrey S.
    NEURAL NETWORKS, 2022, 148 : 96 - 110
  • [46] Exploring Biological Robustness for Reliable Multi-UAV Networks
    Hazra, Krishnandu
    Shah, Vijay K.
    Roy, Satyaki
    Deep, Swaraj
    Saha, Sujoy
    Nandi, Subrata
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 18 (03): : 2776 - 2788
  • [47] Turing's model for biological pattern formation and the robustness problem
    Maini, Philip K.
    Woolley, Thomas E.
    Baker, Ruth E.
    Gaffney, Eamonn A.
    Lee, S. Seirin
    INTERFACE FOCUS, 2012, 2 (04) : 487 - 496
  • [49] Analysis and application of biological robustness as performance index in microbial fermentation
    Wang, Lei
    Cheng, Guanming
    Feng, Enmin
    Su, Tao
    Xiu, Zhilong
    APPLIED MATHEMATICAL MODELLING, 2015, 39 (07) : 2048 - 2055
  • [50] Robustness of potential biological removal to monitoring, environmental, and management uncertainties
    Punt, Andre E.
    Siple, Margaret
    Francis, Tessa B.
    Hammond, Phillip S.
    Heinemann, Dennis
    Long, Kristy J.
    Moore, Jeffrey E.
    Sepulveda, Maritza
    Reeves, Randall R.
    Sigurdsson, Gudjon Mar
    Vikingsson, Gisli
    Wade, Paul R.
    Williams, Rob
    Zerbini, Alexandre N.
    ICES JOURNAL OF MARINE SCIENCE, 2020, 77 (7-8) : 2491 - 2507