“THE PATTERN RECOGNITION OF PROBABILITY DISTRIBUTIONS OF AMINO ACIDS IN PROTEIN FAMILIES. GENERAL SETTINGS AND STEINER LOCI TECHNIQUES "

R.P. Mondaini - PESC/COPPE/UFRJ

2a. fa., 21 novembro 2016 - Sala G122, COPPE, Centro de Tecnologia, 13:30 - 14:30.

Abstract:

The formation and evolution of protein families is a problem of the same importance as that of protein folding/unfolding and should be solved before in order to model the necessary Levinthal stages for describing the Protein Dynamics.  This Protein Family Formation Process (PFFP) is then driven by a Combinatorial Technique based on multinomial distribution and the associated pattern recognition is obtained from a Poisson statistical approach for deriving probability distributions of amino acid occurrences of two variables.  A new technique based on the determination of  Steiner Loci is then introduced in order to characterize the pattern recognition of level curves of these surfaces.

Rubem P. Mondaini
Professor of Mathematical Optimization and Biological Physics
Federal University of Rio de Janeiro
UFRJ - Centre of Technology - COPPE
21.941-972 - P.O. Box 68.511
Rio de Janeiro - RJ, Brazil
President of the BIOMAT Consortium/
BIOMAT International Institute for Interdisciplinary Sciences
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