Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors.

In this work, we propose the Networks of Evolutionary Processors (NEP) [2] as a computational model to solve problems related with biological phenomena. In our first approximation, we simulate biological processes related with cellular signaling and their implications in the metabolism, by using an architecture based on NEP (NEP architecture) and their specializations: Networks of Polarized Evolutionary Processors (NPEP) [1] and NEP Transducers (NEPT) [3]. In particular, we use this architecture to simulate the interplay between cellular processes related with the metabolism as the Krebs cycle and the malate-aspartate shuttle pathway (MAS) both being altered by signaling by calcium.

An Architecture forRepresenting Biological Processes based on Networks of Bio-inspired Processors

n this paper we propose the use of Networks of Bio-inspired Processors (NBP) to model some biological phenomena within a computational framework. In particular, we propose the use of an extension of NBP named Network Evolutionary Processors Transducers to simulate chemical transformations of substances. Within a biological process, chemical transformations of substances are basic operations in the change of the state of the cell. Previously, it has been proved that NBP are computationally complete, that is, they are able to solve NP complete problems in linear time, using massively parallel computations. In addition, we propose a multilayer architecture that will allow us to design models of biological processes related to cellular communication as well as their implications in the metabolic pathways. Subsequently, these models can be applied not only to biological-cellular instances but, possibly, also to configure instances of interactive processes in many other fields like population interactions, ecological trophic networks, in dustrial ecosystems, etc.

Biosensing comparison between different geometries based on vertical submicron-structrures made of SU-8 resist

Previous work of the research group [1-4] demonstrated the viability of using periodic lattices of micro and nanopillars, called Bio-photonic sensing Cells (BICELLs), as an optical biosensor vertically characterized by visible spectrometry. Also we have studied theoretically [5] the performance of the BICELLs by 2D and 3D simulation in orde r to optimize the biosensing response. In this work we present the fabrication and biosensing comparison of different geometrical parameters on periodic lattices of pillars in order to discuss theoretical conclusions with these results. In this way, we have explored the biosensing response of other patter ns such as crosses, stars, cylinders, concentrical cylinders (Figure 1). Also we introduced a novel method to test the BICELLs in a cost-effective way by using an ultra-thin film of SU-8 spin-coated onto the patterns to reproduce the effect of a biofilm attached to the biosensor surface. Finally we have tested the biosensing response of the different geometries by the well-known Bovine Serum Albumin (BSA) immunoassay and compared with the theoretical simulation.