Resumen

MONTOYA, Andrés; MEJIA, Carolina  y  AGREDA, Jesús. Biological homochirality and stoichiometric network analysis: Variations on Frank's model. Rev.Colomb.Quim. [online]. 2021, vol.50, n.3, pp.42-53.  Epub 31-Jul-2022. ISSN 0120-2804.  https://doi.org/10.15446/rev.colomb.quim.v50n3.96921.

Biological homochirality is modelled using chemical reaction mechanisms that include autocatalytic and inhibition reactions as well as input and output flows. From the mathematical point of view, the differential equations associated with those mechanisms have to exhibit bistability. The search for those bifurcations can be carried out using stoichiometric network analysis. This algorithm simplifies the mathematical analysis and can be implemented in a computer programme, which can help us to analyse chemical networks. However, regardless of the reduction to linear polynomials, which is made possible by this algorithm, in some cases, the complexity and length of the polynomials involved make the analysis unfeasible. This problem has been partially solved by extending the stoichiometric matrix with rows that code the duality relations between the different reactions occurring in the network given as input. All these facts allow us to analyse 28 different network models, highlighting the basic requirements needed by a chemical mechanism to have spontaneous mirror symmetry breaking.

Palabras clave : Homochirality; stoichiometric network analysis; chemical reaction mechanisms; feedback; autocatalysis.

        · resumen en Español | Portugués     · texto en Inglés     · Inglés ( pdf )