Suppr超能文献

相似文献

1
Process-based network decomposition reveals backbone motif structure.
Proc Natl Acad Sci U S A. 2010 Jun 8;107(23):10478-83. doi: 10.1073/pnas.0914180107. Epub 2010 May 24.
2
Boolean network models of cellular regulation: prospects and limitations.
J R Soc Interface. 2008 Aug 6;5 Suppl 1(Suppl 1):S85-94. doi: 10.1098/rsif.2008.0132.focus.
4
Identifying responsive modules by mathematical programming: an application to budding yeast cell cycle.
PLoS One. 2012;7(7):e41854. doi: 10.1371/journal.pone.0041854. Epub 2012 Jul 25.
5
Identification of functional modules using network topology and high-throughput data.
BMC Syst Biol. 2007 Jan 26;1:8. doi: 10.1186/1752-0509-1-8.
6
A framework to find the logic backbone of a biological network.
BMC Syst Biol. 2017 Dec 6;11(1):122. doi: 10.1186/s12918-017-0482-5.
7
Bridge and brick network motifs: identifying significant building blocks from complex biological systems.
Artif Intell Med. 2007 Oct;41(2):117-27. doi: 10.1016/j.artmed.2007.07.006. Epub 2007 Sep 7.
8
Identification of a topological characteristic responsible for the biological robustness of regulatory networks.
PLoS Comput Biol. 2009 Jul;5(7):e1000442. doi: 10.1371/journal.pcbi.1000442. Epub 2009 Jul 24.
9
Formal Analysis of Network Motifs Links Structure to Function in Biological Programs.
IEEE/ACM Trans Comput Biol Bioinform. 2021 Jan-Feb;18(1):261-271. doi: 10.1109/TCBB.2019.2948157. Epub 2021 Feb 3.
10
Quantifying the dynamics of coupled networks of switches and oscillators.
PLoS One. 2012;7(1):e29497. doi: 10.1371/journal.pone.0029497. Epub 2012 Jan 5.

引用本文的文献

1
Global stabilization of Boolean networks with applications to biomolecular network control.
Sci Rep. 2025 Apr 30;15(1):15201. doi: 10.1038/s41598-025-97684-y.
2
Reconstructing signed relations from interaction data.
Sci Rep. 2023 Nov 24;13(1):20689. doi: 10.1038/s41598-023-47822-1.
3
The Topological Characteristics of Biological Ratio-Sensing Networks.
Life (Basel). 2023 Jan 28;13(2):351. doi: 10.3390/life13020351.
4
Identification of dynamic driver sets controlling phenotypical landscapes.
Comput Struct Biotechnol J. 2022 Apr 2;20:1603-1617. doi: 10.1016/j.csbj.2022.03.034. eCollection 2022.
5
CycFlowDec: A Python module for decomposing flow networks using simple cycles.
SoftwareX. 2021 Jun;14. doi: 10.1016/j.softx.2021.100676. Epub 2021 Feb 24.
7
Analysis on gene modular network reveals morphogen-directed development robustness in .
Cell Discov. 2020 Jun 30;6:43. doi: 10.1038/s41421-020-0173-z. eCollection 2020.
8
How causal analysis can reveal autonomy in models of biological systems.
Philos Trans A Math Phys Eng Sci. 2017 Dec 28;375(2109). doi: 10.1098/rsta.2016.0358.
9
Funneled potential and flux landscapes dictate the stabilities of both the states and the flow: Fission yeast cell cycle.
PLoS Comput Biol. 2017 Sep 11;13(9):e1005710. doi: 10.1371/journal.pcbi.1005710. eCollection 2017 Sep.
10
Reconstructing the regulatory circuit of cell fate determination in yeast mating response.
PLoS Comput Biol. 2017 Jul 24;13(7):e1005671. doi: 10.1371/journal.pcbi.1005671. eCollection 2017 Jul.

本文引用的文献

2
Boolean network simulations for life scientists.
Source Code Biol Med. 2008 Nov 14;3:16. doi: 10.1186/1751-0473-3-16.
3
Cdh1: a master G0/G1 regulator.
Nat Cell Biol. 2008 Jul;10(7):755-7. doi: 10.1038/ncb0708-755.
4
Boolean network model predicts cell cycle sequence of fission yeast.
PLoS One. 2008 Feb 27;3(2):e1672. doi: 10.1371/journal.pone.0001672.
5
Function constrains network architecture and dynamics: a case study on the yeast cell cycle Boolean network.
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 May;75(5 Pt 1):051907. doi: 10.1103/PhysRevE.75.051907. Epub 2007 May 9.
6
In CK2 inactivated cells the cyclin dependent kinase inhibitor Sic1 is involved in cell-cycle arrest before the onset of S phase.
Biochem Biophys Res Commun. 2007 Aug 10;359(4):921-7. doi: 10.1016/j.bbrc.2007.05.195. Epub 2007 Jun 4.
7
Network motifs: theory and experimental approaches.
Nat Rev Genet. 2007 Jun;8(6):450-61. doi: 10.1038/nrg2102.
8
Do scale-free regulatory networks allow more expression than random ones?
J Theor Biol. 2007 Jul 21;247(2):331-6. doi: 10.1016/j.jtbi.2007.03.017. Epub 2007 Mar 21.
9
Highly designable phenotypes and mutational buffers emerge from a systematic mapping between network topology and dynamic output.
Proc Natl Acad Sci U S A. 2006 Mar 14;103(11):4180-5. doi: 10.1073/pnas.0507032103. Epub 2006 Mar 3.
10
Design of a network with state stability.
J Theor Biol. 2006 Jun 21;240(4):592-8. doi: 10.1016/j.jtbi.2005.10.019. Epub 2005 Dec 15.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验