DYNAMO-bio: research outputs

Journal papers

  • 19. R Prado-Rodriguez, P Gonzalez, XC Pardo, JR Banga (2026) Efficient cooperative strategies for parallel metaheuristics using MPI-3 features. Int. J. of High Performance Computing Applications, in press, online first doi:10.1177/10943420261431588
  • 18. J Pico, A Arboleda-Garcıa, DR Penas, JR, Banga, A Vignoni, Y Boada, P de Valencia (2026). Host-aware Identification of Intrinsic Gene Expression Biopart Parameters from Combinatorial Libraries. Nature Communications, 17 (1), 9656 doi:10.1038/s41467-026-76332-7
  • 17. A Polo-Rodríguez, DR Penas, JR Banga (2026). An adaptive multi-strategy metaheuristic for robust model calibration in large-scale systems biology. Swarm and Evolutionary Computation, under review, bioRxiv preprint: doi:10.64898/2026.01.27.701977
  • 16. A Paredes-Vázquez, E Balsa-Canto, JR Banga (2026) Robust Calibration of Generalised Lotka-Volterra Models. NPJ Systems Biology and Applications, doi:10.1038/s41540-026-00816-x
  • 15. JR Banga, F Pena-Brage, JM Rodríguez-Reinoso (2026) Bayesian optimization for parameter estimation in the Brusselator model using finite element simulations. Journal of Computational Physics, under review
  • 14. R Prado-Rodriguez, P Gonzalez, JR Banga, R Doallo (2026) Parallel ACO-VNS for the solution of binary combinatorial optimization problems in computational systems biology. Applied Soft Computing, under review
  • 13. XR Barreiro, J Faro, AF Villaverde (2026). Leveraging mathematical models to predict and control T-cell activation. PLOS Computational Biology, 22(4):e1013769, doi:10.1371/journal.pcbi.1013769
  • 12. XR Barreiro, J Faro, AF Villaverde (2026). Response metrics of T-cell activation models. Royal Society Open Science, 13:250910, doi:10.1098/rsos.250910
  • 11. M Shams Falavarjani, A González Vázquez, AF Villaverde (2025). Assessment of computational tools for analysing the observability and accessibility of nonlinear systems. Computation, 13(12), 281 doi:10.3390/computation13120281
  • 10. S Díaz-Seoane, A Barreiro, AF Villaverde, M Chatzis (2025). On the relation between the accessibility and input observability tests in ODE systems. Systems Science & Control Engineering, 13(1):2579995 doi:10.1080/21642583.2025.2579995
  • 9. H Faquir, Ma Pájaro, I Otero-Muras (2025). A computational framework for Optimal and Model Predictive Control of stochastic gene regulatory networks. IEEE-ACM Transactions on Computational Biology & Bioinformatics, 22(6):2630-2641 doi:10.1109/TCBBIO.2025.3598449
  • 8. A González Vázquez, AF Villaverde (2025). Analysing the Structural Identifiability and Observability of Mechanistic Models of Tumour Growth. Bioengineering, 12(10), 1048 doi:10.3390/bioengineering12101048
  • 7. JR Banga, AF Villaverde (2025). Mechanistic dynamic modelling of biological systems: the road ahead. Current Opinion in Systems Biology, doi:10.1016/j.coisb.2025.100553
  • 6. AF Villaverde (2025). Employing Observability Rank Conditions for Taking into Account Experimental Information a priori. Bulletin of Mathematical Biology, 87, 39: doi:10.1007/s11538-025-01415-3
  • 5. Prado-Rodriguez, R., Gonzalez, P., Banga, J. R. (2025) A Parameter Control Strategy for Parallel Island‐Based Metaheuristics. Expert Systems 42:e70061 https://doi.org/10.1111/exsy.70061
  • 4. Fernández de Dios, M., A. M. González-Rueda, J. R. Banga, J. González-Díaz, D. R. Penas (2025) Parameter estimation in ODEs: assessing the potential of local and global solvers. Optimization and Engineering 26, 2663–2701 https://doi.org/10.1007/s11081-025-09978-9
  • 3. Portela, A., J.R. Banga, M. Matabuena (2025) Conformal Prediction for Uncertainty Quantification in Dynamic Biological Systems. PLOS Computational Biology 21(5): e1013098. https://doi.org/10.1371/journal.pcbi.1013098
  • 2. Banga, J. R. and S. Sager (2025) Generalized Inverse Optimal Control and its Application in Biology. Annual Reviews in Control 60:101029 https://doi.org/10.1016/j.arcontrol.2025.101029
  • 1. Paredes-Vázquez, A., E. Balsa-Canto, J. R. Banga (2025) Identification of dynamic models of microbial communities: a workflow addressing identifiability and modeling pitfalls. PLOS Computational Biology 21(12): e1013204 https://doi.org/10.1371/journal.pcbi.1013204

Conference papers

  • 5. M Shams Falavarjani, P Sánchez Calvo, AF Villaverde (2026). Symmetry-Based Structural Identifiability and Observability Analysis of PDE and ODE Models in STRIKE-GOLDD. XLVII Jornadas de Automática (JA’26), Córdoba, Spain, September 2–4, 2026. doi:10.17979/ja-cea.2026.47.13688.
  • 4. Rey Barreiro, N Baberuxki, M Abebaw Mebratie, AF Villaverde, W Seiler (2026). Structural identifiability and discrete symmetries. European Control Conference (ECC 2026), Reykjavík, Iceland, July 7-10, 2026, pp. 2226-2232. ISBN:978-3-907144-13-8
  • 3. A González Vázquez, AF Villaverde (2025). Structural identifiability and observability of tumour growth models with and without chemotherapy. XLVI Jornadas de Automática (JA’25), Cartagena, Spain, September 3–5, 2025.
  • 2. DA Ionescu Leoca, M Shams Falavarjani, AF Villaverde (2025). Comparativa de metodologías de análisis de identificabilidad estructural y observabilidad para modelos no lineales. XLVI Jornadas de Automática (JA’25), Cartagena, Spain, September 3–5, 2025.
  • 1. A Pardo, S Díaz-Seoane, DA Ionescu, A Papachristodoulou, AF Villaverde (2025). Analysing control-theoretic properties of nonlinear synthetic biology circuits. 14th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS 2025), Bratislava, Slovakia, June 16-19, 2025.

Doctoral dissertations (completed)

  • 3. Sandra Díaz Seoane, "Computational methods for the study of observability and controllability of biological systems" Supervised by AF Villaverde. Universidade de Vigo. Thesis completed, viva expected for December 2026.
  • 2. Xabier Rey Barreiro, "Computational modelling of the dynamics of immune reactions: methodologies for identifiability and robustness analysis" Supervised by AF Villaverde and J Faro Rivas. Universidade de Vigo, September 2026. Grade: cum laude with international distinction.
  • 1. Roberto Prado Rodríguez, "Exploiting HPC capabilities for combinatorial optimization in computational systems biology" Supervised by Patricia González (UDC) and Julio R. Banga (MBG-CSIC). Universidade da Coruña, September 2025. Grade: cum laude.