In this work, we consider the biochemical pathway in unicellular organisms (e.g. bacteria) as a living computer, and we are able to program it in order to ...
Nov 27, 2015 · It develops a category-theoretic framework for the analysis of the relationships between programmer, virtual machine, and problem that are ...
Jun 22, 2012 · In this work, we consider the biochemical pathway in unicellular organisms (e.g. bacteria) as a living computer, and we are able to program it ...
Aug 28, 2019 · The perceptron algorithm was first developed to computationally mimic the neuron's ability to process information, learn, and make decisions.
In this paper we will present and discuss the analyzed features of metabolism, which represent the fundamental features of the metabolic computing process.
Computing optimal factories in metabolic networks with negative ...
www.ncbi.nlm.nih.gov › PMC9235471
Jun 27, 2022 · A factory in a metabolic network specifies how to produce target molecules from source compounds through biochemical reactions, properly ...
Jun 24, 2022 · We introduce the new problem of finding optimal factories that use the fewest reactions, for the first time incorporating both first- and second-order negative ...
In this review, we present a number of tools that can assist in modifying and understanding cellular metabolic networks.
Jan 11, 2022 · In this paper, we show how Recurrent Neural Networks can surrogate constraint-based modeling and make metabolic networks suitable for backpropagation.
Sep 4, 2023 · This blog discusses genome-scale metabolic models phenotype prediction challenges and introduces a hybrid machine learning model outperforming traditional ...