In electronic computing, high-level languages hide much of the details, allowing non-experts and sometimes even children to program and create systems. High level languages for bio-molecular systems aim to achieve a similar level of abstraction, so that a system might be designed on the basis of the behaviors that are desired, rather than the particulars of the genetic code that will be used to...

This research paper is proposing the idea of pseudo code representation to molecular programming used in designing molecular electronics devices. Already the schematic representation of logical gates like AND, OR, NOT etc.from molecular diodes or resonant tunneling diode are available. This paper is setting a generic pseudo code model so that various logic gates can be formulated. These molecul...

Molecular programming (MP) has been proposed as an evolutionary computation algorithm at the molecular level [Zhang and Shin, 1998]. MP are different from other evolutionary algorithms in its representation of solutions using DNA molecular structures and its use of bio-lab techniques for recombination of partial solutions. In this paper, molecular programming is applied to traveling salesman pr...

We introduce a new recombination operator, the Maximum Homologous Crossover for Linear Genetic Programming. In contrast to standard crossover, it attempts to preserve similar structures from parents, by aligning them according to their homology, thanks to an algorithm used in Bio-Informatics. To highlight disruptive effects of crossover operators, we introduce the Royal Road landscapes and the ...

Bio-memristor can address the inherent limitations of conventional memory components in artificial perceptual systems due to their biocompatibility with biological tissue. The actual deployment bio-memristor is restricted by lack reproducibility, high power consumption, and insufficient storage capacity. Here, a reproducible low-power multistate developed designing chitosan (CS)-reduced graphen...

Machine learning tools, in particular support vector machines (SVM), Particle Swarm Optimisation (PSO) and Genetic Programming (GP), are increasingly used in pharmaceuticals research and development. They are inherently suitable for use with 'noisy', high dimensional (many variables) data, as is commonly used in cheminformatic (i.e. In silico screening), bioinformatic (i.e. bio-marker studies, ...

In this paper we will compare our first steps in two different approaches to define programming languages for NEPs (one bio-inspired model of computation in which our research group is interested). The classic approach proposed by the literature several decades ago is focused on the grammar of the syntax of the language being defined. Recently the focus is moved to a formal description (model) ...