PubMed Health⌕ Search

Biomedical subjects

Alejandro Maass

Publications and source records attributed to Alejandro Maass.

3 recordsLinked to original sources

A mathematical model for copper homeostasis in Enterococcus hirae.

Copper is an essential micronutrient for life. It is required by a wide range of species, from bacteria to yeast, plants and mammals including humans. To prevent the consequences of the excess or deficit of copper, living organisms have developed molecular mechanisms that regulate the uptake, efflux, storage and use of the metal. However, the limits of homeostatic regulation are not known. Here, we take advantage of a simple biological mechanism involved in copper metabolism of Enterococcus hirae, to explore how the regulation is achieved by using a set of four proteins codified in the cop operon: two P-type ATP-ases copper transporters, one copper chaper-one and one Cu-response transcription factor. We propose a mathematical model, based on differential equations and the power-law formalism (see M.A. Savageau, Chaos 11(1) (2001) 142-159), for the behavior of the cop operon and we show that homeostasis is a result of transient dynamics. The results derived from the mathematical model allow to measure qualitatively the adaptability of the system to its environment. This detailed model has been possible thanks to the available experimental biological information provided in a sequence of recent works by Solioz and co-workers.

Computer Simulation↗

TIP: protein backtranslation aided by genetic algorithms.

UNLABELLED: Several applications require the backtranslation of a protein sequence into a nucleic acid sequence. The degeneracy of the genetic code makes this process ambiguous; moreover, not every translation is equally viable. The usual answer is to mimic the codon usage of the target species; however, this does not capture all the relevant features of the 'genomic styles' from different taxa. The program TIP ' Traducción Inversa de Proteínas') applies genetic algorithms to improve the backtranslation, by minimizing the difference of some coding statistics with respect to their average value in the target. AVAILABILITY: http://www.cmm.uchile.cl/genoma/tip/

Algorithms↗

Evolution of probability measures by cellular automata on algebraic topological Markov chains.

In this paper we review some recent results on the evolution of probability measures under cellular automata acting on a fullshift. In particular we discuss the crucial role of the attractiveness of maximal measures. We enlarge the context of the results of a previous study of topological Markov chains that are Abelian groups; the shift map is an automorphism of this group. This is carried out by studying the dynamics of Markov measures by a particular additive cellular automata. Many of these topics were within the focus of Francisco Varela's mathematical interests.

Animals↗