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Rocha labs optflux v.3.4.0 software
Optflux V.3.4.0 Software, supplied by Rocha labs, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/optflux/optflux+v+3+4+0+software/pm39536881-79-7-10
Average 90 stars, based on 1 article reviews
optflux v.3.4.0 software - by Bioz Stars, 2026-10
90/100 stars

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Related Articles

Combined Bisulfite Restriction Analysis Assay:

Article Title: From genotype to phenotype: computational approaches for inferring microbial traits relevant to the food industry
Article Snippet: .. With high-throughput tools for model construction, in combination with user-friendly frameworks for modifying and analyzing the models [such as the COBRA toolbox for Matlab (Becker et al. ), the cobrapy Python package (Ebrahim et al. ), or the GUI-based OptFlux (Rocha et al. )] (Becker et al. , Ebrahim et al. ), constraint-based metabolic modeling stands as a powerful tool for predicting metabolic phenotypes from the genome of a strain, and even predicting the behavior of communities of multiple strains. ..

Article Title: Use of CellNetAnalyzer in biotechnology and metabolic engineering.
Article Snippet: .. Accordingly, several software packages for constraint-based modeling have been developed in the past years, including, for example, the COBRA toolbox (Schellenberger et al., 2011; Ebrahim et al., 2013), OPTFLUX (Rocha et al., 2010), OMIX (Droste et al., 2011, 2013), MUFINS (Wu et al., 2016), RAVEN (Agren et al., 2013) and CellNetAnalyzer (Klamt et al., 2007). ..

Article Title: Metabolic reconstruction of the human pathogen Candida auris: using a cross-species approach for drug target prediction.
Article Snippet: Candida auris is an emerging human pathogen, associated with antifungal drug resistance and hospital candidiasis outbreaks.. In this w ork, w e present iRV973, the first r econstructed Genome-scale meta bolic model (GSMM) for C. auris .. The model w as man uall y curated and experimentally validated, being able to accurately predict the specific growth rate of C. auris and the utilization of several sole carbon and nitrogen sources.

Article Title: Use of CellNetAnalyzer in biotechnology and metabolic engineering.
Article Snippet: .. Other software with a similar scope include the COBRA and COBRApy toolbox (Schellenberger et al., 2011; Ebrahim et al., 2013), OPTFLUX (Rocha et al., 2010), RAVEN (Agren et al., 2013), OMIX (Droste et al., 2011), or the R package sybil (Gelius-Dietrich et al., 2013). ..

In Silico:

Article Title: Machine learning-guided prediction of potential engineering targets for microbial production of lycopene.
Article Snippet: • MLP correctly predicted both lycopene titer and yield of the LY02 strain.. • MLP and GA predicted potential engineering target genes for lycopene

Article Title: The Genome-Based Metabolic Systems Engineering to Boost Levan Production in a Halophilic Bacterial Model.
Article Snippet: Metabolic systems engineering is being used to redirect microbial metabolism for the overproduction of chemicals of interest with the aim of transforming microbial hosts into cellular factories.. In this study, a genomebased metabolic systems engineering approach was designed and performed to improve biopolymer biosynthesis capability of a moderately halophilic bacterium Halomonas smyrnensis AAD6 producing levan, which is a fructose homopolymer with many potential uses in various industries and medicine.. For this purpose, the genomescale metabolic model for AAD6 was used to characterize the metabolic resource allocation, specifically to design metabolic engineering strategies for engineered bacteria with enhanced levan production capability.

Gene Knockout:

Article Title: Machine learning-guided prediction of potential engineering targets for microbial production of lycopene.
Article Snippet: • MLP correctly predicted both lycopene titer and yield of the LY02 strain.. • MLP and GA predicted potential engineering target genes for lycopene

Over Expression:

Article Title: Machine learning-guided prediction of potential engineering targets for microbial production of lycopene.
Article Snippet: • MLP correctly predicted both lycopene titer and yield of the LY02 strain.. • MLP and GA predicted potential engineering target genes for lycopene

Knock-Out:

Article Title: The Genome-Based Metabolic Systems Engineering to Boost Levan Production in a Halophilic Bacterial Model.
Article Snippet: Metabolic systems engineering is being used to redirect microbial metabolism for the overproduction of chemicals of interest with the aim of transforming microbial hosts into cellular factories.. In this study, a genomebased metabolic systems engineering approach was designed and performed to improve biopolymer biosynthesis capability of a moderately halophilic bacterium Halomonas smyrnensis AAD6 producing levan, which is a fructose homopolymer with many potential uses in various industries and medicine.. For this purpose, the genomescale metabolic model for AAD6 was used to characterize the metabolic resource allocation, specifically to design metabolic engineering strategies for engineered bacteria with enhanced levan production capability.

Software:

Article Title: Use of CellNetAnalyzer in biotechnology and metabolic engineering.
Article Snippet: .. Accordingly, several software packages for constraint-based modeling have been developed in the past years, including, for example, the COBRA toolbox (Schellenberger et al., 2011; Ebrahim et al., 2013), OPTFLUX (Rocha et al., 2010), OMIX (Droste et al., 2011, 2013), MUFINS (Wu et al., 2016), RAVEN (Agren et al., 2013) and CellNetAnalyzer (Klamt et al., 2007). ..

Article Title: Use of CellNetAnalyzer in biotechnology and metabolic engineering.
Article Snippet: .. Other software with a similar scope include the COBRA and COBRApy toolbox (Schellenberger et al., 2011; Ebrahim et al., 2013), OPTFLUX (Rocha et al., 2010), RAVEN (Agren et al., 2013), OMIX (Droste et al., 2011), or the R package sybil (Gelius-Dietrich et al., 2013). ..



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Rocha labs optflux v.3.4.0 software
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https://www.bioz.com/product/optflux/optflux+v+3+4+0+software/pm39536881-79-7-10
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