@article{ZHOU2007, 
author = {Tong ZHOU and Shao LI},
title = {Multi-Target Recognition in Intracellular Regulation Networks},
year = {2007},
journal = {Tsinghua Science and Technology},
volume = {12},
number = {6},
pages = {629-637},
keywords = {cell cycle, constrained state feedback, drug discovery, intracellular regulation network, Monte-Carlo method, uniform distribution},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(07)70167-0},
doi = {10.1016/S1007-0214(07)70167-0},
abstract = {This paper presents an algorithm for identifying desirable multiple targets in an intracellular regulation network. The algorithm is based on constrained state feedback and Monte-Carlo simulations. The computational complexity of the algorithm increases linearly with increasing the number of species in a gene regulation system. An estimate is derived for the confidence level of the predicted minimum required perturbation strength when targets are prescribed a priori. The algorithm has been used to analyze the cell cycle of Xenopus frog eggs. The results agree well with available results for single target perturbations, and multi-target interference is usually not equal to the summation of the single-target interferences.}
}