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The paper presents an image-oriented description of artificial and biological nanostructured surfaces, with applicability to the functional characterization of atom neighborhoods at the surface of proteins. The property which is considered is the hydrophobicity around each surface atom. The actual hydrophobicity distribution on the atoms that form an atom's vicinity is replaced by an equivalent hydrophobicity...
A possible decoherence-based quantum-holographic Hopfield-like approach to biomolecular recognition is considered. This might be of fundamental importance in understanding underlying macroscopic quantum-holographic Hopfield-like control mechanisms of morphogenesis, with significant potential holistic psychosomatic implications.
The genetic code is analyzed as one of the major natural codes, which as such can reveal the deeper principles of optimal coding. The analysis is based on a discovery that the symmetrical architecture of genetic code and the nucleon number of its constituents - the free canonical amino acids and bases, are strictly determined by the prime number with a cycling digit property -037. A detailed derivation...
In this paper we present mathematical model of well known Delta-Notch signaling system in form of nonlinear, singular, impulsive and singularly impulsive dynamical systems. This example is interesting since it posses phenomena of lateral inhibition recognized to be underlying element in mechanism structures in many living organisms. It is characterized by beautiful patterns as a result of singling...
We investigate performance of neural networks for classification of laser-induced breakdown spectroscopic data of four proteins: Bovine Serum Albumin, Osteopontin, Leptin and Insulin-like Growth Factor II. We utilize principal component analysis algorithm for feature extraction and multilayer perceptrons algorithms with one and two hidden layers. We employ leave-one-out procedure for classifier evaluation...
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