Membrane computing is a bio-inspired computing paradigm whose devices are the so-called
membrane systems or P systems. The P system designed in this work reproduces complex …

Background Antibiotic resistance is a major biomedical problem upon which public health
systems demand solutions to construe the dynamics and epidemiological risk of resistant …

In this paper, we present LOIMOS, which is an epidemiological scenario simulator developed
in the context of the fight against the pandemic caused by coronavirus SARS-CoV-2 on a …

Bacterial plasmids harboring antibiotic resistance genes are critical in the spread of antibiotic
resistance. It is known that plasmids differ in their kinetic values, ie, conjugation rate, …

The epidemiology of sexually transmitted infections (STIs) is complex due to the coexistence
of various pathogens, the variety of transmission modes derived from sexual orientations …

Background Due to their role of receptors or transporters, membrane proteins play a key role
in many important biological functions. In our work we used Grammatical Inference (GI) to …

The rapid growth of protein sequence databases is exceeding the capacity of biochemically
and structurally characterizing new proteins. Therefore, it is very important the development …

We propose a computational model that is inspired by genetic operations over strings such
as mutation and crossover. The model, Accepting Network of Genetic Processors, is highly …

Epidemics caused by microbial organisms are part of the natural phenomena of increasing
biological complexity. The heterogeneity and constant variability of hosts, in terms of age, …

Membrane computing is a natural computing procedure inspired in the compartmental
structure of living cells. This approach allows mimicking the complex structure of biological …