Peer-Reviewer Journal Papers

(Including four conference proceedings and one book chapter)


    2022-2023:

    • 43.  M. Pajoh-Casco, A. Vinujdson, G. Enciso, Bounds on the Ultrasensitivity of Biochemical Reaction Cascades, submitted
    • 42.  A. Fletcher, Z. Wunderlich, G. Enciso, Shadow enhancers mediate trade-offs between transcriptional noise and fidelity, PLoS Computational Biology 1:20, 2023 https://doi.org/10.1371/journal.pcbi.1011071 PDF
    • 41.  A. Fletcher, R. Zhao, G. Enciso, Non-allosteric mechanism for bounded and ultrasensitive chromatin remodeling, Journal of Theoretical Biology 7:534:110946, 2022 doi: 10.1016/j.jtbi.2021.110946 PDF
    • 40.  J. Kim, K. Sheu, Q. Cheng, A. Hoffmann, and G. Enciso, Stochastic models of nucleosome dynamics reveal regulatory rules of stimulus-induced epigenome remodeling, Cell Reports 2;40(2):111076, 2022, doi: 10.1016/j.celrep.2022.111076 PDF

    2020-2021:

    • 39.  G. Enciso, J. Kim, Accuracy of Multiscale Reduction for Stochastic Reaction Systems, Multiscale Modeling and Simulation, SIAM Journal on Multiscale Modeling and Simulation, 19:4, 2021 https://doi.org/10.1137/19M1301928 PDF
    • 38.  G. Enciso, R. Erban, J. Kim, Identifiability of Stochastically Modelled Reaction Networks, European Journal of Applied Mathematics, 1-23, 2021 doi:10.1017/S0956792520000492 PDF
    • 37.  F. Wan, G. Enciso, C. Suetterlin, and M. Tan, Stochastic Chlamydia Dynamics and Optimal Spread. Bulletin of Mathematical Biology 83:24, 2021 https://doi.org/10.1007/s11538-020-00846-4 PDF
    • 36.  R. Waymack, A. Fletcher, G. Enciso and Z. Wunderlich, Shadow enhancers can suppress input transcription factor noise through distinct regulatory logic, eLife, 2020;9:e59351, 2020 DOI: 10.7554/eLife.59351 https://doi.org/10.1063/5.0013457 PDF
    • 35.  J. Kim, J. Dark, G. Enciso and S. Sindi, Slack reactants: A state-space truncation framework to estimate quantitative behavior of the chemical master equation, J. Chemical Physics, 153, 054117, 2020 https://doi.org/10.1063/5.0013457 PDF
    • 34.  L. Lagunes, L. Bardwell, and G. Enciso, Effect of magnitude and variability of energy of activation in multisite ultrasensitive biochemical processes, PLoS Computational Biology 16(8): e1007966, 2020 https://doi.org/10.1371/journal.pcbi.1007966 PDF
    • 33.  J. Kim and G. Enciso, Absolutely robust controllers for chemical reaction networks, Journal of the Royal Society Interface 17:20200031 (2020) http://dx.doi.org/10.1098/rsif.2020.0031 PDF

    2018-2019:

    • 32. G. Enciso and J. Kim, Embracing noise in chemical reaction networks, Bulletin of Mathematical Biology, https://doi.org/10.1007/s11538-019-00575-3, 2019 PDF
    • 31.  S. Bhattacharya, D. Biswas, G. Enciso and P. Iglesias, Control of chemotaxis through absolute concentration robustness, Conference on Decision and Control 4260-4365, 2018 PDF
    • 30.  J. Lee, G. Enciso, D. Boassa, C. Chander, T. Lou, S. Pairawan, M. Guo, F. Wan, M. Ellisman, C. Suetterlin, and M. Tan, Replication-dependent size reduction precedes differentiation in Chlamydia, Nature Communications 9(1):45, 2018 PDF

    2016-2017:

    • 29.  F. Wan and G. Enciso, Optimal Proliferation and Differentiation of Chlamydia Trachomatis, Studies in Applied Mathematics 139: 129-178, 2017. PDF
    • 28.  G. Enciso, Transient absolute robustness in stochastic biochemical networks, Journal of the Royal Society Interface 13:1-12, 20160475, 2016. PDF
    • 27.  G. Enciso, S. Ryerson, The effect of site-to-site variability in ultrasensitive dose responses, Journal of Mathematical Biology, doi:10.1007/s00285-016-1013-5, 2016 PDF

    2014-2015:

    • 26.  D. Anderson, G. Enciso, M. Johnston, Stochastic analysis of biochemical reaction networks with absolute concentration robustness, Journal of the Royal Society Interface 11:20130943:1-8, 2014 PDF(Erratum: Definition 3.1 has been corrected, thanks to Robert Brijder for pointing out)
    • 25. D. Angeli, G. Enciso, E. Sontag, A small-gain result for orthant-monotone systems under mixed feedback, Systems and Control Letters 68:9-19, 2014 PDF.
    • 24. G. Enciso, D.R. Kellogg, A. Vargas, Compact modeling of allosteric multisite proteins: Application to a cell size checkpoint, PLoS Computational Biology 10(2), 1-12, 2014 WEB PDF
    • 22. G. Enciso, Fixed points and convergence in monotone systems under positive or negative feedback, International Journal of Control 87(2):301-311, 2014 PDF
    • 21. S. Ryerson, G. Enciso, Ultrasensitivity in independent multisite systems, Journal of Mathematical Biology 69(4):977-999, 2014 PDF

    2012-2013:

    • 23. W. Just and G. Enciso, Ordered dynamics in biased and cooperative Boolean networks, Advances in Difference Equations 313:1-19, 2013 PDF
    • 20. G. Enciso, Multisite mechanisms for ultrasensitivity in signal transduction, in C. Poetzsche and P. Kloeden (eds.), Nonautonomous and Random Dynamical Systems in Life Sciences, Lecture Notes in Mathematics 2102 (Mathematical Biosciences Subseries), Springer Verlag, 2013 PDF
    • 19. C. Chan, X. Liu, L. Wang, L. Bardwell, Q. Nie, and G. Enciso, Protein scaffolds can enhance the bistability of multisite phosphorylation systems, PLoS Computational Biology 8(6):1-9, 2012 WEB Supp
    • 18. G. Enciso, W. Just, Analogues of the Hirsch and Smale theorems for cooperative Boolean and discrete systems, Journal of Difference Equations and Applications 18(2):223-238, 2012 PDF
    • 17. S.L. Harvey, G. Enciso, N.E. Dephoure, S.P. Gygi, J. Gunawardena, D.R. Kellogg, A phosphatase threshold sets the level of Cdk1 activity in early mitosis in budding yeast. Molecular Biology of the Cell 22(19):3595-608, 2012. PDF

    2010-2011:

    • 16. W. Just, G. Enciso, Exponentially long orbits in Boolean networks with exclusively positive interactions, Nonlinear Dynamics and Systems Theory 11(3):275-284, 2011 PDF
    • 15. L. Wang, Q. Nie, G. Enciso, Nonessential sites improve phosphorylation switch, Biophysical Letters 99(10):41-43, 2010 PDF
    • 14. G. Enciso, M. Rempe, A.V. Dmitriev, K.E. Gavrikov, D. Terman, S.C. Mangel, A model of direction selectivity in the starburst amacrine cell network, Journal of Computational Neuroscience 28(3):567-578, 2010 PDF

    2008-2009:

    • 13. G. Enciso, E. Sontag, Monotone Bifurcation Graphs, Journal of Biological Dynamics 2(2):121-139, 2008 PDF
    • 12. G. Enciso, On a Smale theorem and nonhomogeneous equilibria in cooperative systems, Proceedings of the American Mathematical Society 136(8):2901-2909, 2008 PDF
    • 11. G. Enciso, M. W. Hirsch, H.L. Smith, Prevalent behavior of strongly order preserving semiflows, Journal of Dynamics and Differential Equations 20(1):115- 132, 2008 PDF

    2006-2007:

    • 10. G. Enciso, A dichotomy for a class of cyclic delay systems, Mathematical Biosciences 208:63-75, 2007 PDF
    • 9. B. DasGupta, G. Enciso, E. Sontag, Y. Zhang, Algorithmic and complexity results for decompositions of biological networks into monotone subsystems, Biosystems 90(1):161-178, 2007.  Also appeared in Lecture Notes in Computer Science 4007, Experimental Algorithms, pp. 253-264, Springer Verlag, 2006. PDF
    • 8. G. Enciso, On the asymptotic behavior of a cyclic biochemical system with delay, Proceedings of the IEEE Conference on Decision and Control, San Diego, CA, Dec. 2006 PDF
    • 7. G. Enciso, H. Smith, E. Sontag, Non-monotone systems decomposable into monotone systems with negative feedback, Journal of Differential Equations, 224:205-227, 2006 PDF
    • 6. G. Enciso, E. Sontag, Global attractivity, I/O monotone small-gain theorems, and biological delay systems, Discrete and Continuous Dynamical Systems 14:549- 578, 2006 PDF

    2004-2005:

    • 5. G. Enciso, E. Sontag, A remark on multistability for monotone systems II, Proceedings of the IEEE Conference on Decision and Control, Seville, Dec. 2005, IEEE Publications, pp. 2957-2962, 2005 PDF
    • 4. G. Enciso, E. Sontag, Monotone systems under positive feedback: multistability and a reduction theorem, Systems and Control Letters 51(2):185-202, 2005 PDF
    • 3. G. Enciso, E. Sontag, A remark on multistability for monotone systems, Proceedings of the IEEE Conference on Decision and Control, Paradise Island, Bahamas, Dec. 2004, IEEE Publications, pp. 249-254, 2004 PDF
    • 2. G. Enciso, E. Sontag, On the stability of a model of testosterone dynamics, Journal of Mathematical Biology 49:627-634, 2004 PDF
    • 1. X. Caicedo, G. Enciso, The Hahn Banach theorem as a choice axiom, Colombian Academy of Sciences Review, XXVIII:11-20, 2004 (in Spanish) PDF

PhD Dissertation

  • Monotone Input/Output Systems and Applications to Biological Systems, thesis dissertation under the direction of E. Sontag, Rutgers University, 2005 PDF

Other Publications

  • A. DeWitt, S. Bayram, G. Enciso, H. Fernando, J. Kao, B. Pagnoncelli, D. Schmidt, J.A.S. Hameed, Data to knowledge in pharmaceutical research, Mathematical Modeling in Industry Workshop Report, IMA, Minneapolis, 2004 PDF
  • G. Enciso, La Fuerza de Elección del Teorema de Hahn-Banach, Undergraduate Thesis, Universidad de los Andes, Bogotá, 2000 PDF