name,size,number of attractors,number of attractors with control kernel,mean control kernel size,std control kernel size,number of input nodes,uses sampling method,number of uncontrollable attractors,fraction of uncontrollable attractors,number of cycles,number of modules,paper citation,url to paper,url to cell collective model Cortical Area Development,5,2,2,1.0,0.0,0,False,0,0.0,0,1.0,Giacomantonio CE and Goodhill GJ.A Boolean model of the gene regulatory network underlying Mammalian cortical area development.PLoS Comput Biol 2010 Sep 166; (9).pmid:20862356,http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000936,https://cellcollective.org/#2035/cortical-area-development Cell Cycle Transcription By Coupled CDK And Network Oscillators,9,2,1,1.0,0.0,0,False,1,0.5,1,1.0,"Orlando DA, Lin CY, Bernard A, Wang JY, Socolar JE, Iversen ES, Hartemink AJ, and Haase SB.Global control of cell-cycle transcription by coupled CDK and network oscillators.Nature 2008 Jun 12453; (7197) 944-7.pmid:18463633",https://www.nature.com/articles/nature06955,https://cellcollective.org/#2681/cell-cycle-transcription-by-coupled-cdk-and-network-oscillators Mammalian Cell Cycle 2006,10,1,1,0.0,0.0,0,False,0,0.0,1,2.0,"Fauré A, Naldi A, Chaouiya C, and Thieffry D.Dynamical analysis of a generic Boolean model for the control of the mammalian cell cycle.Bioinformatics 2006 Jul 1522; (14) e124-31.pmid:16873462",https://academic.oup.com/bioinformatics/article/22/14/e124/227890,https://cellcollective.org/#2396/mammalian-cell-cycle-2006 Toll Pathway Of Drosophila Signaling Pathway,11,4,4,2.0,0.0,2,False,0,0.0,0,11.0,"Mbodj A, Junion G, Brun C, Furlong EE, and Thieffry D.Logical modelling of Drosophila signalling pathways.Mol Biosyst 2013 Sep9; (9) 2248-58.pmid:23868318",http://pubs.rsc.org/en/Content/ArticleLanding/2013/MB/c3mb70187e#!divAbstract,https://cellcollective.org/#2668/toll-pathway-of-drosophila-signaling-pathway Metabolic Interactions In The Gut Microbiome,12,40,40,6.2,1.469693845669907,4,False,0,0.0,0,9.0,"Steinway SN, Biggs MB, Loughran TP Jr, Papin JA, and Albert R.Inference of Network Dynamics and Metabolic Interactions in the Gut Microbiome.PLoS Comput Biol 2015 Jun 2311; (5) e1004338.pmid:26102287",http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004338,https://cellcollective.org/#5731/metabolic-interactions-in-the-gut-microbiome Regulation Of The L-arabinose Operon Of Escherichia Coli,13,21,17,4.117647058823529,0.32218973970892123,4,False,4,0.19047619047619047,4,9.0,Jenkins A and Macauley M.Bistability and Asynchrony in a Boolean Model of the L-arabinose Operon in Escherichia coli.Bull Math Biol 2017 Jun 21.pmid:28639170,https://link.springer.com/article/10.1007%2Fs11538-017-0306-1,https://cellcollective.org/#6885:1/regulation-of-the-larabinose-operon-of-escherichia-coli/1 Lac Operon,13,9,9,3.2222222222222223,0.41573970964154905,3,False,0,0.0,0,5.0,Veliz-Cuba A and Stigler B.Boolean models can explain bistability in the lac operon.J Comput Biol 2011 Jun18; (6) 783-94.pmid:21563979,http://online.liebertpub.com.ezproxy1.lib.asu.edu/doi/full/10.1089/cmb.2011.0031,https://cellcollective.org/#5128/lac-operon Arabidopsis Thaliana Cell Cycle,14,1,1,0.0,0.0,0,False,0,0.0,1,1.0,"Ortiz-GutiŽrrez E, Garc’a-Cruz K, Azpeitia E, Castillo A, S‡nchez Mde L, and çlvarez-Buylla ER.A Dynamic Gene Regulatory Network Model That Recovers the Cyclic Behavior of Arabidopsis thaliana Cell Cycle.PLoS Comput Biol 2015 Sep11; (9) e1004486.pmid:26340681",http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004486,https://cellcollective.org/#4837:1/arabidopsis-thaliana-cell-cycle/1 Predicting Variabilities In Cardiac Gene,15,6,6,2.8333333333333335,0.6871842709362768,2,False,0,0.0,0,13.0,"Grieb M, Burkovski A, Strang JE, Kraus JM, Gro§ A, Palm G, Kuhl M, and Kestler HA.Predicting Variabilities in Cardiac Gene Expression with a Boolean Network Incorporating Uncertainty.PLoS One 2015 Jul 2410; (7) e0131832.pmid:26207376",http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0131832,https://cellcollective.org/#4706/predicting-variabilities-in-cardiac-gene Cardiac Development,15,6,6,2.8333333333333335,0.6871842709362768,2,False,0,0.0,0,13.0,"Herrmann F, Gro§ A, Zhou D, Kestler HA, and KŸhl M.A boolean model of the cardiac gene regulatory network determining first and second heart field identity.PLoS One 20127; (10) e46798.pmid:23056457",http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0046798,https://cellcollective.org/#2136/cardiac-development Fanconi Anemia And Checkpoint Recovery,15,1,1,0.0,0.0,0,False,0,0.0,1,1.0,"Rodr’guez A, Torres L, Ju‡rez U, Sosa D, Azpeitia E, Garc’a-de Teresa B, CortŽs E, Ort’z R, Salazar AM, Ostrosky-Wegman P, Mendoza L, and Fr’as S. Fanconi anemia cells with unrepaired DNA damage activate components of the checkpoint recovery process.Theor Biol Med Model 2015 Sep 18 12; 19. pmid:26385365",https://tbiomed.biomedcentral.com/articles/10.1186/s12976-015-0011-4,https://cellcollective.org/#4790:1/fanconi-anemia-and-checkpoint-recovery/1 BT474 Breast Cell Line Short-term ErbB Network,16,253,253,9.541501976284586,2.4933224886894974,5,False,0,0.0,0,14.0,"von der Heyde S, Bender C, Henjes F, Sonntag J, Korf U, and Bei§barth T.Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines.BMC Syst Biol 2014 Jun 258; 75.pmid:24970389",https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-75,https://cellcollective.org/#2699/bt474-breast-cell-line-shortterm-erbb-network SKBR3 Breast Cell Line Short-term ErbB Network,16,702,702,10.703703703703704,1.746127326844533,5,False,0,0.0,0,14.0,"von der Heyde S, Bender C, Henjes F, Sonntag J, Korf U, and Bei§barth T.Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines.BMC Syst Biol 2014 Jun 258; 75.pmid:24970389",https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-75,https://cellcollective.org/#2701:1/skbr3-breast-cell-line-shortterm-erbb-network/1 Neurotransmitter Signaling Pathway,16,4,4,2.0,0.0,2,False,0,0.0,2,11.0,"Gupta S, Bisht SS, Kukreti R, Jain S, and Brahmachari SK.Boolean network analysis of a neurotransmitter signaling pathway.J Theor Biol 2007 Feb 7244; (3) 463-9.pmid:17010384",https://www.sciencedirect.com/science/article/pii/S0022519306003675?via%3Dihub,https://cellcollective.org/#2202:1/neurotransmitter-signaling-pathway/1 HCC1954 Breast Cell Line Short-term ErbB Network,16,274,274,9.021897810218977,1.729803808480783,5,False,0,0.0,0,8.0,"von der Heyde S, Bender C, Henjes F, Sonntag J, Korf U, and Bei§barth T. Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines. BMC Syst Biol 2014 Jun 25 8; 75. pmid:24970390",https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-75,https://cellcollective.org/#2700:1/hcc1954-breast-cell-line-shortterm-erbb-network/1 Body Segmentation In Drosophila 2013,17,10,10,3.4,0.48989794855663565,3,False,0,0.0,0,14.0,Marques-Pita M and Rocha LM.Canalization and control in automata networks: body segmentation in Drosophila melanogaster.PLoS One 20138; (3) e55946.pmid:23520449,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0055946,https://cellcollective.org/#2341/body-segmentation-in-drosophila-2013 Vegf Pathway Of Drosophila Signaling Pathway,18,256,256,8.0,0.0,8,False,0,0.0,0,18.0,"Mbodj A, Junion G, Brun C, Furlong EE, and Thieffry D.Logical modelling of Drosophila signalling pathways.Mol Biosyst 2013 Sep9; (9) 2248-58.pmid:23868318",http://pubs.rsc.org/en/Content/ArticleLanding/2013/MB/c3mb70187e#!divAbstract,https://cellcollective.org/#2667/vegf-pathway-of-drosophila-signaling-pathway CD4+ T Cell Differentiation And Plasticity,18,324,294,8.60204081632653,1.1958527761725546,6,False,30,0.09259259259259259,30,7.0,"Martinez-Sanchez ME, Mendoza L, Villarreal C, and Alvarez-Buylla ER.A Minimal Regulatory Network of Extrinsic and Intrinsic Factors Recovers Observed Patterns of CD4+ T Cell Differentiation and Plasticity.PLoS Comput Biol 2015 Jun 1911; 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26.pmid:26573569",https://tbiomed.biomedcentral.com/articles/10.1186/s12976-015-0023-0,https://cellcollective.org/#4779:1/human-gonadal-sex-determination/1 Oxidative Stress Pathway,19,2,2,1.0,0.0,1,False,0,0.0,1,6.0,"Sridharan S, Layek R, Datta A, and Venkatraj J.Boolean modeling and fault diagnosis in oxidative stress response.BMC Genomics 2012 13 Suppl 6; S4.pmid:23134720",https://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-13-S6-S4,https://cellcollective.org/#3512/oxidative-stress-pathway Mammalian Cell Cycle,20,3,3,1.6666666666666667,0.4714045207910317,1,False,0,0.0,0,14.0,"Sahin O, Fršhlich H, Lšbke C, Korf U, Burmester S, Majety M, Mattern J, Schupp I, Chaouiya C, Thieffry D, Poustka A, Wiemann S, Beissbarth T, and Arlt D.Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance.BMC Syst Biol 2009 Jan 13; 1.pmid:19118495",https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-3-1,https://cellcollective.org/#1607/mammalian-cell-cycle Budding Yeast Cell Cycle,20,33,21,4.809523809523809,0.5870870479018072,4,False,12,0.36363636363636365,13,6.0,Todd RG and Helikar T.Ergodic sets as cell phenotype of budding yeast cell cycle.PLoS One 20127; 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Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines. BMC Syst Biol 2014 Jun 25 8; 75. pmid:24970389",https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-75,https://cellcollective.org/#2698:1/hcc1954-breast-cell-line-longterm-erbb-network/1 Trichostrongylus Retortaeformis,26,12,6,3.1666666666666665,0.8975274678557507,1,False,6,0.5,6,3.0,"Thakar J, Pathak AK, Murphy L, Albert R, and Cattadori IM.Network model of immune responses reveals key effectors to single and co-infection dynamics by a respiratory bacterium and a gastrointestinal helminth.PLoS Comput Biol 2012 Jan8; (1) e1002345.pmid:22253585",http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002345,https://cellcollective.org/#3493/trichostrongylus-retortaeformis Pro-inflammatory Tumor Microenvironment In Acute Lymphoblastic Leukemia,26,6,4,2.5,0.5,2,False,2,0.3333333333333333,4,5.0,"Enciso J, Mayani H, Mendoza L, and Pelayo R.Modeling the Pro-inflammatory Tumor Microenvironment in Acute Lymphoblastic Leukemia Predicts a Breakdown of Hematopoietic-Mesenchymal Communication Networks.Front Physiol 20167; 349.pmid:27594840",https://www.frontiersin.org/articles/10.3389/fphys.2016.00349/full,https://cellcollective.org/#4942/proinflammatory-tumor-microenvironment-in-acute-lymphoblastic-leukemia Wg Pathway Of Drosophila Signalling Pathways,26,16384,16384,14.0,0.0,14,False,0,0.0,3328,25.0,"Mbodj A, Junion G, Brun C, Furlong EE, and Thieffry D.Logical modelling of Drosophila signalling pathways.Mol Biosyst 2013 Sep9; (9) 2248-58.pmid:23868318",http://pubs.rsc.org/en/Content/ArticleLanding/2013/MB/c3mb70187e#!divAbstract,https://cellcollective.org/#2663:1/wg-pathway-of-drosophila-signalling-pathways/1 Death Receptor Signaling,28,97,27,4.7407407407407405,0.7978021936495562,3,False,70,0.7216494845360825,70,10.0,"Calzone L, Tournier L, Fourquet S, Thieffry D, Zhivotovsky B, Barillot E, and Zinovyev A.Mathematical modelling of cell-fate decision in response to death receptor engagement.PLoS Comput Biol 2010 Mar 56; (3) e1000702.pmid:20221256",http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000702,https://cellcollective.org/#2084/death-receptor-signaling FA BRCA Pathway,28,1,1,0.0,0.0,0,True,0,0.0,1,,"Rodr’guez A, Sosa D, Torres L, Molina B, Fr’as S, and Mendoza L. A Boolean network model of the FA/BRCA pathway. Bioinformatics 2012 Mar 15 28; (6) 858-66. pmid:22267503",https://academic.oup.com/bioinformatics/article/28/6/858/311330,https://cellcollective.org/#1778:1/fa-brca-pathway/1 Septation Initiation Network,31,2240,640,9.4,0.48989794855663554,8,False,1600,0.7142857142857143,1600,18.0,"Chasapi A, Wachowicz P, Niknejad A, Collin P, Krapp A, Cano E, Simanis V, and Xenarios I. An Extended, Boolean Model of the Septation Initiation Network in S.Pombe Provides Insights into Its Regulation. 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