Rosenfeld Simon
National Cancer Institute, EPN 3108, 6130 Executive Blvd., Rockville, Maryland 20892, USA.
Gene Regul Syst Bio. 2011;5:89-104. doi: 10.4137/GRSB.S8542. Epub 2011 Nov 21.
Robustness has been long recognized to be a distinctive property of living entities. While a reasonably wide consensus has been achieved regarding the conceptual meaning of robustness, the biomolecular mechanisms underlying this systemic property are still open to many unresolved questions. The goal of this paper is to provide an overview of existing approaches to characterization of robustness in mathematically sound terms. The concept of robustness is discussed in various contexts including network vulnerability, nonlinear dynamic stability, and self-organization. The second goal is to discuss the implications of biological robustness for individual-target therapeutics and possible strategies for outsmarting drug resistance arising from it. Special attention is paid to the concept of swarm intelligence, a well studied mechanism of self-organization in natural, societal and artificial systems. It is hypothesized that swarm intelligence is the key to understanding the emergent property of chemoresistance.
长期以来,稳健性一直被认为是生物实体的一个独特属性。虽然在稳健性的概念含义方面已经达成了相当广泛的共识,但这种系统属性背后的生物分子机制仍存在许多未解决的问题。本文的目的是以数学上合理的术语概述现有的稳健性表征方法。稳健性的概念在包括网络脆弱性、非线性动态稳定性和自组织等各种背景下进行了讨论。第二个目标是讨论生物稳健性对个体靶向治疗的影响以及应对由此产生的耐药性的可能策略。特别关注群体智能的概念,这是一种在自然、社会和人工系统中经过充分研究的自组织机制。据推测,群体智能是理解化疗耐药性这一涌现属性的关键。