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A general methodology for optimal evaluation of energy yield and driving force in microbial metabolic pathway variants

Authors: Ahmed Taha; Mauricio Patón; David R Penas; Julio R Banga; Jorge Rodríguez;

A general methodology for optimal evaluation of energy yield and driving force in microbial metabolic pathway variants

Abstract

This software is an implementation of the methodology described in "A general methodology for optimal evaluation of energy yield and driving force in microbial metabolic pathway variants". The code is written for MATLAB and requires the following dependencies: MEIGO (MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics | BMC Bioinformatics | Full Text (biomedcentral.com)) Gurobi (The Leader in Decision Intelligence Technology - Gurobi Optimization)

Keywords

Driving Forces, Energy Yield, Metabolic Pathway Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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29
36