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R Morchio

Publications and source records attributed to R Morchio.

10 recordsLinked to original sources

Simulation of protein evolution: evidence for a non-linear aminoacidic substitution rate.

Protein evolution is characterized by several processes. In the theory of neutral evolution the rate of mutation is considered a linear process in which the amount of aminoacidic substitutions in proteins is constant in time. A simulation approach has been developed by using a model of amino-acidic substitution. The frequency of spontaneous mutations has been assumed to be equal to about 10(-9)/base/year. The aim of the present work is to show that starting from a constant mutation rate (nucleotide substitutions) the corresponding process of aminoacidic substitutions becomes non-linear if some criteria of mutation selection are introduced. The basic criteria used are the physical-chemical characteristics of aminoacids, the same criteria that have made it possible to classify aminoacids. Different classifications based on differences in such criteria give different results, indicating that the degenerate nature of the genetic code determines a non-linear behaviour of protein evolution. Simulations have been performed on short protein subsequences of five aminoacids. A further analysis has been made to verify, on the basis of the code structure and of accepted selection criteria, the mechanisms of aminoacidic substitutions and the existence of preferential paths. We have concluded that aminoacidic substitution is not a simple stochastic process, but that complex Markov's chains are involved. The consequences are important, although generally ignored.

Amino Acid Substitution↗

Neuronal growth and the Steiner problem.

In this paper we conjecture that neuronal networks develop following an optimality principle. We point out that a neuronal outgrowth in culture may be seen as the solution of a classical optimization problem: the "Steiner Problem". A neuron might grow minimizing a "cost", which may be determined by the viscoelastic properties of the neuron cytoplasm. We then discuss the role of chemiotactic factors such as the Nerve Growth Factor (NGF) in an optimized neuronal development in vivo. Finally we suggest, with some mathematical arguments, that the optimization of the elastic forces in the growing neuron may give rise to a "fractal" structure.

Biophysical Phenomena↗

Proteins, nucleic acids and genetic codes.

On the basis of the previous article (Morchio and Traverso [1999]), we discuss the possible interactions between the first proteic fragments developed in the hydrophobic layer made of hydrocarbons, which would have covered the surface of the primitive seas, and the nitrogenous bases, particularly the pyrimidinic ones, which would have found in such hydrophobic layer favourable conditions to their prebiotic synthesis. These interactions would have presumably brought, on the basis of the physicochemical laws, at the moment the only ones at work, to the linkage of various bases and so to the construction of the first nucleic acid chains (most likely RNA). Interestingly enough this result would have been obtained by inserting two more bases between those hydrogen bound to the amino acids and this might have been the ground for the future "triplets". These interactions might have been particularly significant because of two important consequences: the birth of a rough genetic code and the starting of interactions of the co-operative type between bases and amino acids that would have made the growth of both proteic and nucleic acid fragments easier and faster. We conclude that the development of the genetic code was neither a "frozen accident" nor an occurrence directed by any information flow.

Genetic Code↗