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Biomolecular Self-Defense and Futility of High-Specificity Therapeutic Targeting
Author(s) -
Simon Rosenfeld
Publication year - 2011
Publication title -
gene regulation and systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.534
H-Index - 18
ISSN - 1177-6250
DOI - 10.4137/grsb.s8542
Subject(s) - robustness (evolution) , computer science , risk analysis (engineering) , swarm intelligence , property (philosophy) , artificial intelligence , management science , data science , machine learning , medicine , biology , epistemology , engineering , biochemistry , philosophy , particle swarm optimization , gene
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.

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