Pereira T, Vilaprinyo E, Belli G, Herrero E, Salvado B, Sorribas A, Altés G, Alves R. (2018) Quantitative Operating Principles of Yeast Metabolism during Adaptation to Heat Stress. Cell Rep. 2018 Feb 27;22(9):2421-2430. doi: 10.1016/j.celrep.2018.02.020.

Comas J, Benfeitas R, Vilaprinyo E, Sorribas A, Solsona F, Farré G, Berman J, Zorrilla U, Capell T, Sandmann G, Zhu C, Christou P, Alves R. (2016) Identification of line-specific strategies for improving carotenoid production in synthetic maize through data-driven mathematical modeling. Plant J. 2016 Sep;87(5):455-71. doi: 10.1111/tpj.13210. Epub 2016 Jul 18.

Pozo C, Miro A, Guillén-Gosálbez G, Sorribas A, Alves R, Jiménez L. (2014) Gobal optimization of hybrid kinetic/FBA models via outer-approximation Computers & Chemical Engineering Volume 72, 2 January 2015, Pages 325–333

Salvado, B; Vilaprinyo, E; Sorribas, A and Alves,R. (2014) A survey of HK, HPt, and RR domains and their organization in two-component systems and phosphorelay proteins of organisms with fully sequenced genomes. PeerJ 3:e1183; DOI 10.7717/peerj.1183

Guillén-Gosálbez G, Miró A, Alves R, Sorribas A, Jimenez L. (2013) Identification of regulatory structure and kinetic parameters of biochemical networks via mixed-integer dynamic optimization. BMC Systems Biology 7(1):113

Pozo C, Guillén-Gosálbez G, Sorribas A, Jimenez L. (2012) Identifying the preferred subset of enzymatic profiles in nonlinear kinetic metabolic models via multi-objective global optimization and Pareto filters. PLoS ONE 7(9): e43487. doi:10.1371/journal.pone.0043487

Salvado B, Vilaprinyo E, Karathia H, Sorribas A, Alves R (2012) Two Component Systems: Physiological Effect of a Third Component. PLoS ONE 7(2): e31095. doi:10.1371/journal.pone.0031095

Karathia HM, Vilaprinyo E, Sorribas A, Alves R. S. cerevisiae as a model organism: Strengths & drawbacks (2011) PLoS One 6(2):e16015

Pozo C, Marin-Sanguino A, Guillén-Gosalbez G, Jimenez L, Alves R, Sorribas A. (2011) Steady-state global optimization of non-linear dynamic models through recasting into power-law canonical models. BMC Systems Biology 5:137