School of Physical Sciences
The Enciso Lab carries out mathematical analysis of biological systems, with an emphasis in cell biology, signal transduction, and systems biology. We use techniques from dynamical systems, chemical reaction networks, stochastic modeling and machine learning to study both theoretical models and experimental data. Recent collaborations include joint work with Christine Suetterlin and Ming Tan to help detemine mechanisms behind cell fate determination in Chlamydia.
Selected Publications:
- J. Kim, C. Suetterlin, M. Tan, and G. Enciso, Statistical analysis supports the size control mechanism of Chlamydia development, PLoS Computational Biology 21(7): e1013227 (2025), https://doi.org/10.1371/journal.pcbi.1013227
- M. Pajoh-Casco, A. Vinujdson, G. Enciso, Bounds on the Ultrasensitivity of Biochemical Reaction Cascades, Bulletin of Mathematical Biology 86(5):59 (2024), doi: 10.1007/s11538-024-01287-z.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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