Theoretical / Protocell Biophysics Laboratory

Group leader
Kepa Ruiz-Mirazo
Phone
+34 946018005
Address

Biofisika Institute (CSIC-UPV/EHU)
Science Park of the UPV/EHU
Barrio Sarriena s/n. 48940 Leioa, Bizkaia (Spain)

Research goal

We are an interdisciplinary group (with expertise in theoretical biophysics, statistical physics, organic chemistry, supramolecular chemistry, computer simulation, theoretical biology, philosophy of science) researching the origin of biological organisation, its metabolic nature and the role of membrane compartments and organic interfaces in that organisation.

Group members
Ikerbasque Research Fellow
PhD Student
University Researcher
Publications

Caccioli F & De Martino D.

Epidemic oscillations induced by social network control. Journal of Statistical Mechanics: Theory and Experiment (1), 013404 (2022)

Lauber, N., Flamm, C. & Ruiz-Mirazo, K.

‘Minimal metabolism’: a key concept to investigate the origins and nature of biological systems. BioEssays 43: 2100103. (2021)
https://doi.org/10.1002/bies.202100103

Amilburu, A., Moreno, Á. & Ruiz-Mirazo, K.

Definitions of life as epistemic tools that reflect and foster the advance of biological knowledge. Synthese 198, 10565–10585. (2021)
https://doi.org/10.1007/s11229-020-02736-7

Ruiz-Mirazo, K.

Boundary versus enabling conditions for the origins of life. Physics of Life Reviews 34-35: 96-98. (2020)
doi: 10.1016/j.plrev.2020.06.001

Ruiz-Mirazo, K., Shirt-Ediss, B., Escribano-Cabeza, M. & Moreno, A. 

The construction of biological ‘inter-identity’ as the outcome of a complex process of protocell development in prebiotic evolution. Frontiers in Physiology -- Systems Biology 11: 530. (2020)
doi: 10.3389/fphys.2020.00530

De Martino, A., De Martino, D. & E. Marinari 

The Essential Role of Thermodynamics in metabolic network modeling: physical insights and computational challenges- Chemical kinetics beyond the textbook, Chapter 18, World Scientific. (2020)
https://doi.org/10.48550/arXiv.1902.07129

De Martino, D. & Barato, A. C.

Oscillations in feedback-driven systems: Thermodynamics and noise. Physical Review E, 100(6), 062123. (2019)
https://doi.org/10.1103/PhysRevE.100.062123

De Martino, D.

Feedback-induced self-oscillations in large interacting systems subjected to phase transitions. Journal of Physics A: Mathematical and Theoretical, 52(4), 045002. (2019)
https://doi.org/10.1088/1751-8121/aaf2dd

Ruiz-Mirazo, K.

A plea for hypothesis-driven research in prebiotic systems chemistry. Chem 5: 1920-1922. (2019)
https://doi.org/10.1016/j.chempr.2019.06.009

De Martino, D., Andersson, A. M., Bergmiller, T., Guet, C. C., & Tkačik, G. 

Statistical mechanics for metabolic networks during steady state growth. Nature communications, 9(1), 1-9. (2018)
DOI: 10.1038/s41467-018-05417-9

Serrano-Luginbühl, S., Ruiz-Mirazo, K., Ostaszewski, R., Gallou, F. & Walde, P. 

Soft and dispersed interface-rich aqueous systems that promote and guide chemical reactions. Nature Reviews Chemistry 2: 306-327. (2018)
https://doi.org/10.1038/s41570-018-0042-6

De Martino, A. & De Martino, D. 

An introduction to the maximum entropy approach and its application to inference problems in biology. Heliyon, 4(4), e00596. (2018)
https://doi.org/10.1016/j.heliyon.2018.e00596