Biblio

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BioNetModel
Y. Lu, Muller, M., Smith, D., Dutta, B., Mourov, K., Iadevaia, S., Ruths, D., Tseng, J. - T., Yu, S., Yu, Q., Nakhleh, L., Balazsi, G., Donnelly, J., Schurdak, M., Morgan-Lappe, S., Fesik, S., Ram, P. T., and Mills, G. B., “Kinome siRNA-phosphoproteomic screen identifies networks regulating AKT signaling”, Oncogene, vol. 30, pp. 4567-4577, 2011.PDF icon Oncogene2011.pdf (905.3 KB)
W. Zhou and Nakhleh, L., “The strength of chemical linkage as a criterion for pruning metabolic graphs”, Bioinformatics, vol. 27, no. 14, pp. 1957-1963, 2011.PDF icon ZhouNakhleh-Bioinformatics11.pdf (749.76 KB)
W. Zhou and Nakhleh, L., “Properties of metabolic graphs: Biological organization or representation artifacts?”, BMC Bioinformatics, vol. 12, p. 132, 2011.PDF icon ZhouNakhleh-BMCBioinfo11.pdf (1.08 MB)
D. Ruths and Nakhleh, L., “Deriving predictive models of signaling network dynamics from qualitative experimental data”, in Proceedings of the 9th Annual International Conference on Computational Systems Biology, 2010.PDF icon RuthsNakhleh-CSB2010.pdf (548.82 KB)
T. Ruths, Ruths, D., and Nakhleh, L., “GS2: An efficiently computable measure of GO-based similarity of gene sets”, Bioinformatics, vol. 25, pp. 1178-1184, 2009.
D. Ruths, Muller, M., Tseng, J. T., Nakhleh, L., and Ram, P. T., “The Signaling Petri Net-based Simulator: A Non-parametric Strategy for Characterizing the Dynamics of Cell-specific Signaling Networks”, PLoS Computational Biology, vol. 4, p. e1000005, 2008.
D. Ruths, Nakhleh, L., and Ram, P. T., “Rapidly Exploring Structural and Dynamic Properties of Signaling Networks Using PathwayOracle”, BMC Systems Biology, vol. 2, p. 76, 2008.
D. Ruths, Tseng, J. T., Nakhleh, L., and Ram, P. T., “De novo Signaling Pathway Predictions based on Protein-Protein Interaction, Targeted Therapy and Protein Microarray Analysis”, in Proceedings of the RECOMB Satellite Workshop on Systems Biology and Proteomics, 2007, vol. 4205, pp. 108-118.
D. Ruths, Nakhleh, L., Iyengar, M. S., Reddy, S. A. G., and Ram, P. T., “Graph-theoretic Hypothesis Generation in Biological Signaling Networks”, Journal of Computational Biology, vol. 13, pp. 1546-1557, 2006.
N. Berestovsky, Fukui, R., and Nakhleh, L., “On the performance of particle swarm optimization for parameterizing kinetic models of cellular networks.”, Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. pp. 184-191, 2012.PDF icon BerestovskyFukuiNakhleh.pdf (2.77 MB)
W. Zhou and Nakhleh, L., “Convergent evolution of modularity in metabolic networks through different community structures”, BMC Evolutionary Biology, vol. 12, p. 181, 2012.PDF icon ZhouNakhleh-BMCEvolBiol2012.pdf (1.88 MB)
W. Zhou and Nakhleh, L., “Quantifying And Assessing the Effect of Chemical Symmetry in Metabolic Pathways”, Journal of Chemical Information and Modeling, vol. 52, pp. 2684-2696, 2012.PDF icon ZhouNakhleh-JCIM2012.pdf (2.66 MB)
N. Berestovsky and Nakhleh, L., “An Evaluation of Methods for Inferring Boolean Networks from Time-series Data”, PLoS One, vol. 8, p. e66031, 2013.PDF icon BerestovskyNakhleh-PLoSOne13.pdf (942.99 KB)
N. Berestovsky, Zhou, W., Nagrath, D., and Nakhleh, L., “Modeling Integrated Cellular Machinery Using Hybrid Petri-Boolean Networks”, PLoS Computational Biology, vol. 9, no. 11, p. e1003306, 2013.PDF icon BerestovskyEtAl13.pdf (1.66 MB)
S. Iadevaia, Nakhleh, L., Azencott, R., and Ram, P. T., “Mapping network motif tunability and robustness in the design of synthetic signaling circuits”, PLoS One, vol. 9, no. 3, p. e91743, 2014.PDF icon IadevaiaEtAl-PLoSOne14.pdf (1.01 MB)