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Fangting Li
Fangting Li
Verified email at pku.edu.cn
Title
Cited by
Cited by
Year
The yeast cell-cycle network is robustly designed
F Li, T Long, Y Lu, Q Ouyang, C Tang
Proceedings of the National Academy of Sciences 101 (14), 4781-4786, 2004
13162004
Stochastic model of yeast cell-cycle network
Y Zhang, M Qian, Q Ouyang, M Deng, F Li, C Tang
Physica D: Nonlinear Phenomena 219 (1), 35-39, 2006
1052006
Constructing the energy landscape for genetic switching system driven by intrinsic noise
C Lv, X Li, F Li, T Li
PLoS one 9 (2), e88167, 2014
712014
Energy landscape reveals that the budding yeast cell cycle is a robust and adaptive multi-stage process
C Lv, X Li, F Li, T Li
PLoS computational biology 11 (3), e1004156, 2015
502015
Processes on the emergent landscapes of biochemical reaction networks and heterogeneous cell population dynamics: differentiation in living matters
S Huang, F Li, JX Zhou, H Qian
Journal of the Royal Society Interface 14 (130), 20170097, 2017
322017
Modular analysis of the probabilistic genetic interaction network
L Hou, L Wang, M Qian, D Li, C Tang, Y Zhu, M Deng, F Li
Bioinformatics 27 (6), 853-859, 2011
142011
Stochasticity triggers activation of the S-phase checkpoint pathway in budding yeast
P Zhou, X Gao, X Li, L Li, C Niu, Q Ouyang, H Lou, T Li, F Li
Physical Review X 11 (1), 011004, 2021
102021
Phosphorylation energy and nonlinear kinetics as key determinants for G2/M transition in fission yeast cell cycle
T Wang, J Zhao, Q Ouyang, H Qian, YV Fu, F Li
arXiv preprint arXiv:1610.09637, 2016
92016
Rapid quantification of polyhydroxyalkanoates accumulated in living cells based on green fluorescence protein-labeled phasins: The qPHA method
X Liu, D Li, X Yan, Z Zhang, S Zheng, J Zhang, W Huang, F Wu, F Li, ...
Biomacromolecules 23 (10), 4153-4166, 2022
72022
Comparison and evaluation of network clustering algorithms applied to genetic interaction networks
L Hou, L Wang, A Berg, M Qian, Y Zhu, F Li, M Deng
Frontiers in Bioscience-Elite 4 (6), 2150-2161, 2012
72012
Integrating multiple types of data to predict novel cell cycle-related genes
L Wang, L Hou, M Qian, F Li, M Deng
BMC Systems Biology 5, 1-12, 2011
72011
A multicompartment mathematical model based on host immunity for dissecting COVID-19 heterogeneity
J Li, J Wu, J Zhang, L Tang, H Mei, Y Hu, F Li
Heliyon 8 (5), 2022
62022
Distinguishing the rates of gene activation from phenotypic variations
Y Chen, C Lv, F Li, T Li
BMC systems biology 9, 1-13, 2015
62015
Mathematical model of the effects of plasma cortisol on human T lymphocytes recirculation
L Fangting, Q Anshen
Shengwu Wuli Xuebao 16 (3), 586-594, 2000
62000
Critical slowing down and attractive manifold: A mechanism for dynamic robustness in the yeast cell-cycle process
Y Zhao, D Wang, Z Zhang, Y Lu, X Yang, Q Ouyang, C Tang, F Li
Physical Review E 101 (4), 042405, 2020
52020
Model-based cellular kinetic analysis of SARS-CoV-2 infection: different immune response modes and treatment strategies
Z Zhou, Z Zhao, S Shi, J Wu, D Li, J Li, J Zhang, K Gui, Y Zhang, H Mei, ...
arXiv preprint arXiv:2101.04477, 2021
32021
Dynamical modelling of viral infection and cooperative immune protection in COVID-19 patients
Z Zhou, D Li, Z Zhao, S Shi, J Wu, J Li, J Zhang, K Gui, Y Zhang, ...
PLOS Computational Biology 19 (9), e1011383, 2023
22023
Dynamically modeling the effective range of IL-2 dosage in the treatment of systemic lupus erythematosus
X Gao, J He, X Sun, F Li
Iscience 25 (9), 2022
12022
A rapidly reversible mutation generates subclonal genetic diversity and unstable drug resistance
L Dan, Y Li, S Chen, J Liu, Y Wang, F Li, X He, LB Carey
Proceedings of the National Academy of Sciences 118 (43), e2019060118, 2021
12021
Both cellular ATP level and ATP hydrolysis free energy determine energetically the calcium oscillation in pancreatic -cell
Y Sun, C Ni, Y Ge, H Qian, Q Ouyang, F Li
arXiv preprint arXiv:1811.11341, 2018
12018
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Articles 1–20