In Silico Identification & Adaptive Control of the Motif in the Mammalian G1/S Cell Cycle Pathway
This paper presents novel techniques in analyzing such key regulatory modules following from physics and system control theories. We initially define distinct contribution elasticity functions for pathway components, facilitating the decomposition of expanded core motifs and the formation of feedback loops within the control schema. Motivated by the inherent regulatory actualities, we expound a kind of multiphase nonlinear adaptive control algorithm in repelling abnormal genetic mutations, which directly or indirectly impacting tumorous lesions of biological organs, etc. Experimentally verifiable predictions are also elucidated within the work.
motif contribution elasticity feedback loop adaptive control
Binhua Tang Jiajun Liu Li He Qing Jing Bairong Shen
Department of Biomedical Engineering, Tongji University, 200092, China Department of Electronics & Communications, Sun Yat-sen University, 510275, China Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Scienc Department of Biomedical Engineering, Tongji University, 200092, China Center for Systems Biology, S
国际会议
上海
英文
962-965
2008-05-16(万方平台首次上网日期,不代表论文的发表时间)