In Silico Identification & Adaptive Control of the Motif in the Mammalian G1/S Cell Cycle Pathway

Abstract

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.