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利用生物系统中的噪声。

Making use of noise in biological systems.

作者信息

Ilan Yaron

机构信息

Hebrew University, Faculty of Medicine, Department of Medicine, Hadassah Medical Center, POB 1200, IL91120, Jerusalem, Israel.

出版信息

Prog Biophys Mol Biol. 2023 Mar;178:83-90. doi: 10.1016/j.pbiomolbio.2023.01.001. Epub 2023 Jan 11.

DOI:10.1016/j.pbiomolbio.2023.01.001
PMID:36640927
Abstract

Disorder and noise are inherent in biological systems. They are required to provide systems with the advantages required for proper functioning. Noise is a part of the flexibility and plasticity of biological systems. It provides systems with increased routes, improves information transfer, and assists in response triggers. This paper reviews recent studies on noise at the genome, cellular, and whole organ levels. We focus on the need to use noise in system engineering. We present some of the challenges faced in studying noise. Optimizing the efficiency of complex systems requires a degree of variability in their functions within certain limits. Constrained noise can be considered a method for improving system robustness by regulating noise levels in continuously dynamic settings. The digital pill-based artificial intelligence (AI)-based platform is the first to implement second-generation AI comprising variability-based signatures. This platform enhances the efficacy of the therapeutic regimens. Systems requiring variability and mechanisms regulating noise are mandatory for understanding biological functions.

摘要

紊乱和噪声是生物系统所固有的。它们是为系统提供正常运作所需优势所必需的。噪声是生物系统灵活性和可塑性的一部分。它为系统提供了更多途径,改善了信息传递,并有助于触发反应。本文综述了近期在基因组、细胞和整个器官水平上关于噪声的研究。我们关注在系统工程中利用噪声的必要性。我们提出了研究噪声时面临的一些挑战。优化复杂系统的效率需要其功能在一定限度内具有一定程度的变异性。受限噪声可被视为一种通过在持续动态环境中调节噪声水平来提高系统稳健性的方法。基于数字药丸的人工智能平台是首个实施包含基于变异性特征的第二代人工智能的平台。该平台提高了治疗方案的疗效。理解生物功能需要具有变异性的系统以及调节噪声的机制。

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