Biochemistry through time and space: A perspective from mathematical modeling

Authors

  • Bruno Alberto Ortiz Garcia División de Ingeniería Química y Bioquímica, TecNM: Tecnológico de Estudios Superiores de Ecatepec, C.P. 55210, Ecatepec de Morelos, Estado de México, México.
  • María Isabel Neria-González División de Ingeniería Química y Bioquímica, TecNM: Tecnológico de Estudios Superiores de Ecatepec, C.P. 55210, Ecatepec de Morelos, Estado de México, México.
  • Ricardo Aguilar-López Departamento de Biotecnología y Bioingeniería, CINVESTAV-IPN, C.P. 07360, San Pedro Zacatenco, CDMX, México.

Keywords:

Systems biology, Bioinformatics, Biological systems

Abstract

Life, understood as a complex system, has been studied through mathematical modeling for over a century. This approach has been fundamental since its earliest simplified versions, and its scope has expanded thanks to advanced computing and sophisticated algorithms. Despite these advances, challenges remain in experimental validation and in the interpretation of large volumes of data. In this context, computer simulations, supported by tools from bioinformatics and systems biology, allow for more accurate data interpretation, enhancing our understanding and predictive capacity of living organisms.

References

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Published

2026-01-08

How to Cite

Ortiz Garcia, B. A., Neria-González, M. I., & Aguilar-López, R. (2026). Biochemistry through time and space: A perspective from mathematical modeling. Revista De divulgación científica IBIO, 8(1), 252. Retrieved from http://revistaibio.com/ojs33/index.php/main/article/view/252

Issue

Vol. 8 No. 1 (2026): The potential of the minuscule

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