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OptORF: Optimal metabolic and regulatory perturbations for metabolic engineering of microbial strains

BMC systems biology, 2010-04, Vol.4 (1), p.53-53, Article 53

2010

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RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations

Genome biology, 2012-01, Vol.13 (9), p.R78-R78

2012

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Large-scale bi-level strain design approaches and mixed-integer programming solution techniques

PloS one, 2011-09, Vol.6 (9), p.e24162

2011

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Integrated analysis of isopentenyl pyrophosphate (IPP) toxicity in isoprenoid-producing Escherichia coli

Metabolic engineering, 2018-05, Vol.47, p.60-72

2018

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A toolset of constitutive promoters for metabolic engineering of Rhodosporidium toruloides

Microbial cell factories, 2019-06, Vol.18 (1), p.117-117, Article 117

2019

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PeakDecoder enables machine learning-based metabolite annotation and accurate profiling in multidimensional mass spectrometry measurements

Nature communications, 2023-04, Vol.14 (1), p.2461-2461, Article 2461

2023

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An automated phenotype-driven approach (GeneForce) for refining metabolic and regulatory models

PLoS computational biology, 2010-10, Vol.6 (10), p.e1000970-e1000970

2010

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Multi-Omics Driven Metabolic Network Reconstruction and Analysis of Lignocellulosic Carbon Utilization in Rhodosporidium toruloides

Frontiers in bioengineering and biotechnology, 2021-01, Vol.8, p.612832-612832

2021

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Rapid and robust squashed spore/colony PCR of industrially important fungi

Fungal biology and biotechnology, 2023-07, Vol.10 (1), p.15-15, Article 15

2023

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Itaconic acid production is regulated by LaeA in Aspergillus pseudoterreus

Metabolic engineering communications, 2022-12, Vol.15, p.e00203-e00203, Article e00203

2022

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Metabolic engineering to improve production of 3-hydroxypropionic acid from corn-stover hydrolysate in Aspergillus species

Biotechnology for biofuels and bioproducts, 2023-03, Vol.16 (1), p.53-53, Article 53

2023

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Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering

Frontiers in bioengineering and biotechnology, 2021-02, Vol.9, p.612893-612893

2021

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Genome-scale model development and genomic sequencing of the oleaginous clade Lipomyces

Frontiers in bioengineering and biotechnology, 2024-04, Vol.12, p.1356551-1356551

2024

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Understanding Infrastructure Resiliency in Chennai, India Using Twitter’s Geotags and Texts: A Preliminary Study

Engineering (Beijing, China), 2018-04, Vol.4 (2), p.218-223

2018

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Integration of Proteomics and Metabolomics Into the Design, Build, Test, Learn Cycle to Improve 3-Hydroxypropionic Acid Production in Aspergillus pseudoterreus

Frontiers in bioengineering and biotechnology, 2021-04, Vol.9, p.603832-603832

2021

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State-of-charge and remaining charge estimation of series-connected lithium-ion batteries for cell balancing scheme

2015 IEEE International Telecommunications Energy Conference (INTELEC), 2015, p.1-5

2015

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IEEE_Xplore

High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440

Frontiers in bioengineering and biotechnology, 2020-12, Vol.8, p.603488-603488

2020

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Machine learning for metabolic engineering: A review

Metabolic engineering, 2021-01, Vol.63 (C), p.34-60

2021

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Advances in genome-scale metabolic models of industrially important fungi

Current opinion in biotechnology, 2023-12, Vol.84, p.103005-103005, Article 103005

2023

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Refining metabolic models and accounting for regulatory effects

Current opinion in biotechnology, 2014-10, Vol.29 (C), p.34-38

2014

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Genome-scale and pathway engineering for the sustainable aviation fuel precursor isoprenol production in Pseudomonas putida

Metabolic engineering, 2024-03, Vol.82 (C), p.157-170

2024

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Forward genetics screen coupled with whole-genome resequencing identifies novel gene targets for improving heterologous enzyme production in Aspergillus niger

Applied microbiology and biotechnology, 2018-02, Vol.102 (4), p.1797-1807

2018

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Identification of a specific exporter that enables high production of aconitic acid in Aspergillus pseudoterreus

Metabolic engineering, 2023-11, Vol.80, p.163-172

2023

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OptORF: Optimal metabolic and regulatory perturbations for metabolic engineering of microbial strains

RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations

Large-scale bi-level strain design approaches and mixed-integer programming solution techniques

Integrated analysis of isopentenyl pyrophosphate (IPP) toxicity in isoprenoid-producing Escherichia coli

A toolset of constitutive promoters for metabolic engineering of Rhodosporidium toruloides

PeakDecoder enables machine learning-based metabolite annotation and accurate profiling in multidimensional mass spectrometry measurements

An automated phenotype-driven approach (GeneForce) for refining metabolic and regulatory models

Multi-Omics Driven Metabolic Network Reconstruction and Analysis of Lignocellulosic Carbon Utilization in Rhodosporidium toruloides

Rapid and robust squashed spore/colony PCR of industrially important fungi

Itaconic acid production is regulated by LaeA in Aspergillus pseudoterreus

Metabolic engineering to improve production of 3-hydroxypropionic acid from corn-stover hydrolysate in Aspergillus species

Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering

Genome-scale model development and genomic sequencing of the oleaginous clade Lipomyces

Understanding Infrastructure Resiliency in Chennai, India Using Twitter’s Geotags and Texts: A Preliminary Study

Integration of Proteomics and Metabolomics Into the Design, Build, Test, Learn Cycle to Improve 3-Hydroxypropionic Acid Production in Aspergillus pseudoterreus

Aromatic inhibitors derived from ammonia-pretreated lignocellulose hinder bacterial ethanologenesis by activating regulatory circuits controlling inhibitor efflux and detoxification

State-of-charge and remaining charge estimation of series-connected lithium-ion batteries for cell balancing scheme

High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440

Machine learning for metabolic engineering: A review

Advances in genome-scale metabolic models of industrially important fungi

Refining metabolic models and accounting for regulatory effects

Genome-scale and pathway engineering for the sustainable aviation fuel precursor isoprenol production in Pseudomonas putida

PeakDecoder enables machine learning-based metabolite annotation and accurate profiling in multidimensional mass spectrometry measurements

Forward genetics screen coupled with whole-genome resequencing identifies novel gene targets for improving heterologous enzyme production in Aspergillus niger

Identification of a specific exporter that enables high production of aconitic acid in Aspergillus pseudoterreus

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