An In Vivo Proposal of Cell Computing Inspired by Membrane Computing

Alberto Arteta Albert,Nuria Gómez Blas,Luis Fernando De Mingo López,Ernesto Díaz-Flores

doi:10.3390/pr9030511

Alberto Arteta Albert, Nuria Gómez Blas + Show 2 more

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https://doi.org/10.3390/pr9030511

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Abstract

Intractable problems are challenging and not uncommon in Computer Science. The computing generation we are living in forces us to look for an alternative way of computing, as current computers are facing limitations when dealing with complex problems and bigger input data. Physics and Biology offer great alternatives to solve these problems that traditional computers cannot. Models like Quantum Computing and cell computing are emerging as possible solutions to the current problems the conventional computers are facing. This proposal describes an in vivo framework inspired by membrane computing and based on alternative computational frameworks that have been proven to be theoretically correct such as chemical reaction series. The abilities of a cell as a computational unit make this proposal a starting point in the creation of feasible potential frameworks to enhance the performance of applications in different disciplines such as Biology, BioMedicine, Computer networks, and Social Sciences, by accelerating drastically the way information is processed by conventional architectures and possibly achieving results that presently are not possible due to the limitations of the current computing paradigm. This paper introduces an in vivo solution that uses the principles of membrane computing and it can produce non-deterministic outputs.

Highlights

This paper presents a new biocomputational paradigm influenced by cell computing and in particular inspired by Membrane Computing [1,2] called MECOMP.NET
The proposal has been evaluated based on the following criteria: Evaluation of the selected rules: evaluation of the system is done in terms of algorithmic convergence as a function of emergent properties of the proposed architecture
This paper has been nested within a multidisciplinary effort, understood as the set of activities, services, and programs that are meant to support and provide solutions that will help society in specific areas such as Biocomputing, Computational Biology, and/or

Summary

Introduction

Published: 12 March 2021This paper presents a new biocomputational paradigm influenced by cell computing and in particular inspired by Membrane Computing [1,2] called MECOMP.NET. We aim to exploit eukaryotic cells as processing units to model/predict and quantify in silico any of their many biological functions measurable in time and intensity using computing algorithms within MECOMP.NET. The direct parallelism between cells and computational processing units is precisely the root of the MECOMP.NET project. The latter has been recently implemented with success [19] These findings opened a new way of replicating the conventional CPU units of in vivo materials. The new ways of automatically counting cell components, such as density, number of regions, calcium molecules, and bacterial tissue [20], make it very possible to process a vast array of biological outputs and combine them with conventional models, producing hybrid solutions (in silico and in vivo integrated systems)

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