The Insight into Protein-Ligand Interactions, a Novel Way of Buffering Protein Noise in Gene Expression

Journal of computational biology: A journal of computational molecular cell biology

Feng-YouLiu^1¹  Shih-ChiangLo^1² 

[1] Address correspondence to: Dr. Che-Chi Shu, Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, No. 1, Sec. 3, Chung-Hsiao E. Road, Taipei City 10608, Taiwan^2;Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei City, Taiwan^1

关键词: external and internal noise;    mathematics;    protein inhibitor;    stochastic model;    stochastic simulation algorithm;   

DOI  :  10.1089/cmb.2018.0103

学科分类：生物科学（综合）

来源: Mary Ann Liebert, Inc. Publishers

【 摘 要 】

Random fluctuations are often considered detrimental in the context of gene regulation. Studies aimed at discovering the noise-buffering strategies are important. In this study, we demonstrated a novel design of attenuating noise at protein-level. The protein-ligand interaction dramatically reduced noise so that the coefficient of variation (COV) became roughly 1/3. Remarkably, in comparison to the other two noise-buffering methods, the negative feedback control and the incoherent feedforward loop, the COV of the target protein in the case of protein-ligand interaction appeared to be less than 1/2 of that of the other two methods. The high correlation of the target protein and the ligand grants the present method great ability to buffer noise. Further, it buffers noise at the stage after translation so it is also capable of attenuating the noise inherited from the process of translation.

【 授权许可】

Unknown