Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from Machine learning-assisted medium optimization revealed the discriminated strategies for improved production of the foreign and native metabolites. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1016/j.ymben.2020.11.012
10.1016/j.ymben.2020.11.012 · External reference
Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity
10.1038/s41467-021-27665-y · 2022 · External reference
10.1016/j.csbj.2014.08.005
10.1016/j.csbj.2014.08.005 · External reference
10.5936/csbj.201210009
10.5936/csbj.201210009 · External reference
10.1021/sb300094q
10.1021/sb300094q · External reference
10.1038/nrmicro3239
10.1038/nrmicro3239 · External reference
10.1038/nature04640
10.1038/nature04640 · External reference
10.1016/j.ymben.2012.01.004
10.1016/j.ymben.2012.01.004 · External reference
10.1186/s13059-019-1730-3
10.1186/s13059-019-1730-3 · External reference
Opportunities at the intersection of synthetic biology, machine learning, and automation
10.1021/acssynbio.8b00540 · 2019 · External reference
Metabolic engineering of E. coli for improving mevalonate production to promote NADPH regeneration and enhance acetyl-CoA supply
10.1002/bit.27350 · 2020 · External reference
Metabolic engineering of microorganisms for production of aromatic compounds
10.1186/s12934-019-1090-4 · 2019 · External reference
A synthetic biology approach to transform Yarrowia lipolytica into a competitive biotechnological producer of β-carotene
10.1002/bit.26473 · 2018 · External reference
10.1146/annurev-micro-090816-093449
10.1146/annurev-micro-090816-093449 · External reference
Optimization of industrial (3000 L) production of Bacillus subtilis CW-S and its novel application for minituber and industrial-grade potato cultivation
10.1038/s41598-022-15366-5 · 2022 · External reference
The fed-batch principle for the molecular biology lab: controlled nutrient diets in ready-made media improve production of recombinant proteins in Escherichia coli
10.1186/s12934-016-0513-8 · 2016 · External reference
Optimization of medium composition for biomass production of Lactobacillus plantarum 200655 using response surface methodology
10.4014/jmb.2103.03018 · 2021 · External reference
Strategies for fermentation medium optimization: an in-depth review
2016 · External reference
Investigation of biomass concentration, lipid production, and cellulose content in Chlorella vulgaris cultures using response surface methodology
10.1002/bit.24871 · 2013 · External reference
Response surface methodology (RSM) as a tool for optimization in analytical chemistry
10.1016/j.talanta.2008.05.019 · 2008 · External reference
Response surface methodology: a non-conventional statistical tool to maximize the throughput of Streptomyces species biomass and their bioactive metabolites
10.1080/1040841x.2016.1271308 · 2017 · External reference
10.1016/j.csbj.2022.06.006 · Admitted local publication
10.1016/j.ymben.2020.10.005
10.1016/j.ymben.2020.10.005 · External reference
Machine learning applications in systems metabolic engineering
10.1016/j.copbio.2019.08.010 · 2020 · External reference
Machine learning methods for analysis of metabolic data and metabolic pathway modeling
10.3390/metabo8010004 · 2018 · External reference
10.1016/j.coisb.2020.07.009
10.1016/j.coisb.2020.07.009 · External reference
10.1016/j.ymben.2020.11.013
10.1016/j.ymben.2020.11.013 · External reference
Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity
10.7554/elife.76846 · 2022 · External reference
Prediction of population behavior of Listeria monocytogenes in food using machine learning and a microbial growth and survival database
10.1038/s41598-021-90164-z · 2021 · External reference
Predicting the decision making chemicals used for bacterial growth
10.1038/s41598-019-43587-8 · 2019 · External reference
10.1016/j.ymben.2021.06.009
10.1016/j.ymben.2021.06.009 · External reference
Artificial neural network – genetic algorithm to optimize wheat germ fermentation condition: Application to the production of two anti-tumor benzoquinones
10.1016/j.foodchem.2017.01.077 · 2017 · External reference
Links between transcription, environmental adaptation and gene variability in Escherichia coli: correlations between gene expression and gene variability reflect growth efficiencies
2016 · External reference
Choice of bacterial growth medium alters the transcriptome and phenotype of salmonella enterica serovar typhimurium
10.1371/journal.pone.0063912 · 2013 · External reference
Bacterial fermentation platform for producing artificial aromatic amines
10.1038/srep25764 · 2016 · External reference
Glucose-derived raspberry ketone produced via engineered Escherichia coli metabolism
10.3389/fbioe.2022.843843 · 2022 · External reference
Unresolved reference
1987 · External reference
Complete set of ORF clones of Escherichia coli ASKA library ( A Complete S et of E. coli K -12 ORF A rchive): unique resources for biological research
10.1093/dnares/dsi012 · 2005 · External reference
10.7554/elife.20309
10.7554/elife.20309 · External reference
Kinetic study of penicillin acylase production by recombinant E. coli in batch cultures
10.1016/0032-9592(94)85004-6 · 1994 · External reference
10.1007/s00253-011-3642-3
10.1007/s00253-011-3642-3 · External reference
Optimization of an Inclusion Body-Based Production of the Influenza Virus Neuraminidase in Escherichia coli
10.3390/biom12020331 · 2022 · External reference
Cloning and expression of protease ClpP from Streptococcus pneumoniae in Escherichia coli: Study of the influence of kanamycin and IPTG concentration on cell growth, recombinant protein production and plasmid stability
10.1016/j.vaccine.2011.05.073 · 2011 · External reference
Perspective on the biotechnological production of bacterial siderophores and their use
10.1007/s00253-022-11995-y · 2022 · External reference
Insights into Clostridium tetani: from genome to bioreactors
10.1016/j.biotechadv.2021.107781 · 2022 · External reference
Precise, high-throughput analysis of bacterial growth
2017 · External reference
A decay effect of the growth rate associated with genome reduction in Escherichia coli
10.1186/s12866-018-1242-4 · 2018 · External reference
Correlated chromosomal periodicities according to the growth rate and gene expression
10.1038/s41598-020-72389-6 · 2020 · External reference
Bacterial transcriptome reorganization in thermal adaptive evolution
10.1186/s12864-015-1999-x · 2015 · External reference
Multilevel comparative analysis of the contributions of genome reduction and heat shock to the Escherichia coli transcriptome
10.1186/1471-2164-14-25 · 2013 · External reference
10.1080/10618600.1996.10474713
10.1080/10618600.1996.10474713 · External reference
10.1038/nmeth.1923
10.1038/nmeth.1923 · External reference
10.1186/s13059-014-0550-8
10.1186/s13059-014-0550-8 · External reference
A direct approach to false discovery rates
10.1111/1467-9868.00346 · 2002 · External reference
Growth rate-associated transcriptome reorganization in response to genomic, environmental, and evolutionary interruptions
10.3389/fmicb.2023.1145673 · 2023 · External reference
Gene expression order attributed to genome reduction and the steady cellular state in Escherichia coli
10.3389/fmicb.2018.02255 · 2018 · External reference
10.1093/nar/gkv1070
10.1093/nar/gkv1070 · External reference
10.1093/nar/gkw1092
10.1093/nar/gkw1092 · External reference
10.1089/omi.2011.0118
10.1089/omi.2011.0118 · External reference
