Bioinformática y Sistemas Complejos – Publicaciones


  • Flesia, A.G., Nieto, P.S., Aon, M.A., Kembro, J.M. 2021. Computational approaches and tools as applied to the study of rhythms and chaos in biology.  En: Computational Systems Biology in Medicine and Biotechnology. Aon, M.A., Cortassa, S. (Ed). Springer Nature. En prensa.
  • Fernandez, M.E., Labaque, M.C Marin, R.H., Orso, G., Kembro, J.M. 2021.Short- and long-term dynamics of the physiological and behavioral response to heat stress and thymol supplementation in Japanese quail. Journal of Thermal Biology.  En prensa.
  • Miguel V, M.E. Sánchez-Borzone, M.E. Mariani, D.A. García (2021). Modulation of membrane physical properties by natural insecticidal ketones. Biophys Chem.


  • Felsztyna I, Sánchez-Borzone ME, Miguel V*, García DA*. The insecticide fipronil affects the physical properties of model membranes: A combined experimental and molecular dynamics simulations study in Langmuir monolayers. *Corresponding Authors


  • Kembro, J.M., Lihoreau, M., Garriga, J., Raposo, E.P., Bartumeus, F. 2019. Bumblebees learn foraging routes through exploitation-exploration cycles. Journal of Royal Society Interface, 16 (153). doi:
  • Moreno-Irusta, A., Kembro, J.M., Domínguez, E.M., Matamoros-Volante, A., Gallea, M.N., Molina, R., Guidobaldi, H.A., Treviño, C.L., Figueras, M.J., Babini, A., Paina, N.A, Mercado C.A.N. y Giojalas, L.C.  2019. Sperm physiology varies according to ultradian and infradian rhythms. Scientific Reports 9: 5988. doi: 10.1038/s41598-019-42430-4
  • Alcala, R.S., Caliva, J.M., Flesia, A.G., Marin, R.H., Kembro, J.M. 2019. Aggressive dominance can decrease behavioral complexity on subordinates through synchronization of locomotor activities. Communication Biology 2:467. doi: 10.1038/s42003-019-0710-1.
  • Miguel V*, Villarreal MA, García DA* (2019) Effects of gabergic phenols on the dynamic and structure of lipid bilayers: A molecular dynamic simulation approach. PLoS ONE 14(6): e0218042.*Corresponding Authors.


  • Kembro, J.M., Cortassa, S., Lloyd, D., Sollott, S.J., y Aon, M.A. 2018. Mitochondrial chaotic dynamics: Redox-energetic behavior at the edge of stability. Scientific Reports 8:15422. doi: 10.1038/s41598-018-33582-w.
  • Miguel V, Sánchez-Borzone ME, García DA. “Interaction of gabaergic ketones with model membranes: a molecular dynamics and experimental approach”. BBA biomembranes Aug;1860(8):1563-1570. doi: 10.1016/j.bbamem.2018.05.012.


  • Kurz, F., Kembro, J.M., Flesia, A.G., Armoundas, A., Cortassa, S., Aon, M.A., Lloyd, D. 2017. Network dynamics: quantitative analysis of complex behavior in metabolism, organelles and cells, from experiments to models and back. Wiley Interdisciplinary Reviews: Systems Biology and Medicine 9:e1352. doi: 10.1002/wsbm.1352 (publicado on-line 7/9/2016).
  • Sánchez-Borzone ME*, Mariani ME*, Miguel V*, Gleiser RM, Odhav B, Venugopala KN, García DA. “Membrane effects of dihydropyrimidine analogues with larvicidal activity”.  Colloids Surf B Biointerfaces. 2017 Feb 1;150:106-113.  doi: 10.1016/j.colsurfb.2016.11.028. *Authors contributed equally to this work.
  • Guzmán, D.A., Flesia, A.G., Aon, M.A., Pellegrini, S., Marin, R.H. y Kembro, J.M. 2017. The fractal organization of ultradian rhythms in avian behavior. Scientific Reports 7(1):684. doi: 10.1038/s41598-017-00743-2


  • Miguel V, Perillo MA, Villarreal MA. “Improved prediction of bilayer and monolayer properties using a refined BMW-MARTINI force field” BBA biomembranes. 2016 Nov;1858(11):2903-2910. doi: 10.1016/j.bbamem.2016.08.016.
  • Miguel V, Defonsi Lestard ME, Tuttolomondo ME, Díaz SB, Ben Altabef A, Puiatti M, Pierini AB. “Molecular View of the Interaction of S-Methyl Methanethiosulfonate with DPPC Bilayer”. BBA biomembranes. 2016 Jan;1858(1):38-46. doi: 10.1016/j.bbamem.2015.10.008.


  • Luo, H-C., Lea Dimaano, V., Kembro, J.M., Hilser, A., Hurtado-de-Mendoza, D., Pozios, I., Santaularia Tomas, M., Yalcin, H., Dolores-Cerna, K., Mormontoy, W., Aon, M.A., Cameron, D., Bluemke, D.A., Stewart, J., Russell, S.D., Gonzales Cordova, J., Abraham, T.P., Abraham, M.R. 2015. Exercise Heart Rates in Patients with Hypertrophic Cardiomyopathy. The American Journal of Cardiology 115: 1144-1150.
  • Guzmán, D.A., Flesia, A.G., Aon, A., Pellegrini, S.,Marin, R.H. y Kembro, J.M. 2015. The fractal organization of ultradian rhythms in avian behavior. Enviado a PLOS Biology.


  • Kembro, J.M., Cortassa, S., y Aon, M.A. 2014. Complex oscillatory redox dynamics with signaling potential at the edge between normal and pathological mitochondrial function. Frontiers in Physiology 5: 257.
  • Kembro, J.M., Cortassa, S., y Aon, M.A. 2014. Mitochondrial Reactive Oxygen Species (ROS) and arrhythmias. En: Systems Biology of Free Radicals and Antioxidants. Laher, I. (Ed). Springer, Berlin, Alemania, pg. 1047-1076. ISBN 978-3-642-30017-2


  • Miguel V, Correa MEE, Barra JL, Argaraña CE & Villarreal MA. “Analysis of the interaction interfaces of the N-terminal domain from Pseudomonas aeruginosaMutL”. PLOS ONE. 2013. 8(7):e69907.
  • Monti MR, Morero NR, Miguel V&Argaraña CE. “nfxB as a novel target for analysis of mutation spectra in Pseudomonas”. PLOS ONE. 2013 8(6): e66236
  • Kembro, J.M., Aon, M.A., Winslow, R.L.,  O’Rourke, B. y Cortassa, S. 2013. Integrating mitochondrial energetics, redox and ROS metabolic networks: A two-compartment model. Biophysical Journal 104:332-43.
  • Corvalán N.A.,Kembro, M., Clop, P.D., y Perillo,  M.A. 2013. Cholesterol favors the emergence of a long-range autocorrelated fluctuation pattern in voltage-induced ionic currents through lipid bilayers.Biochimica et Biophysica Acta (BBA) – Biomembranes1828: 1754-1764.
  • Lábaque, M.C., Kembro, J.M., Luna, A., y Marin, R.H. 2013. Effects of thymol feed supplementation on Japanese quail (Coturnix coturnix) behavioral fear response. Animal Feed Science and Technology 183: 67-72.
  • Kembro, J.M., Flesia, A.G., Gleiser, R.M., Perillo, M.A. y Marín, R.H. 2013. Assessment of long-range correlation in animal behaviour time series: the temporal pattern of locomotor activity of Japanese quail (Coturnix coturnix) and mosquito larva (Culex quinquefasciatus). Physica A: Statistical Mechanics and its Applications392: 6400-6413.
  • Guzmán, D.A., Pellegrini, S.,Kembro, M., y Marin, R.H. 2013. Social interaction of juvenile Japanese quail classified by their permanence in proximity to a high or low density of conspecifics.Poultry Science 92: 2567-75.
  • Miguel V, Correa MEE, Barra JL,  Argaraña CE & Villarreal MA. “Analysis of the interaction interfaces of the N-terminal domain from Pseudomonas aeruginosa MutL”. PLOS ONE. 2013.  8(7):e69907.
  • Monti MR, Morero NR, Miguel V & Argaraña CE. “nfxB as a novel target for analysis of mutation spectra in Pseudomonas”. PLOS ONE. 2013 8(6): e66236.


  • Monti MR, Miguel V, Borgogno MV & Argaraña CE. “Functional analysis of the interaction between the mismatch repair protein MutS and the replication processivity factor β- clamp in Pseudomonas aeruginosa”. DNA Repair. 2012 11: 463-469.
  • Miguel V, Acosta MC, Moscone EA. “Karyotype analysis in two species of Solanum (Solanaceae) Sect. Cyphomandropsis based on chromosome banding”. New Zeland Journal of Botany. 2012 Jun; 50(2):  217-225.


  • Miguel V, Monti MR, Argarana CE. “The role of MutS oligomers on Pseudomonas aeruginosa Mismatch Repair System Activity”. DNA Repair.  2008 Nov 1; 7(11):1799-808.


  • Miguel V, Pezza RJ, Argarana CE. “The C-terminal region of Escherichia coli MutS and protein oligomerization”. Biochem Biophys Res Commun. 2007 Aug 24;360(2):412-7