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Accuracy and data efficiency in deep learning models of protein expression

Nature communications, 2022-12, Vol.13 (1), p.7755-7755, Article 7755

2022

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Mechanistic links between cellular trade-offs, gene expression, and growth

Proceedings of the National Academy of Sciences - PNAS, 2015-03, Vol.112 (9), p.E1038-E1047

2015

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A Stochastic Model of Gene Expression with Polymerase Recruitment and Pause Release

Biophysical journal, 2020-09, Vol.119 (5), p.1002-1014

2020

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Fundamental Design Principles for Transcription-Factor-Based Metabolite Biosensors

ACS synthetic biology, 2017-10, Vol.6 (10), p.1851-1859

2017

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Dynamic optimization of metabolic networks coupled with gene expression

Journal of theoretical biology, 2015-01, Vol.365, p.469-485

2015

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Pathways to cellular supremacy in biocomputing

Nature communications, 2019-11, Vol.10 (1), p.5250-11, Article 5250

2019

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Dynamic metabolic control: towards precision engineering of metabolism

Journal of industrial microbiology & biotechnology, 2018-07, Vol.45 (7), p.535-543

2018

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Deep learning for optimization of protein expression

Current opinion in biotechnology, 2023-06, Vol.81, p.102941-102941, Article 102941

2023

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Applications of artificial intelligence and machine learning in dynamic pathway engineering

Biochemical Society transactions, 2023-10, Vol.51 (5), p.1871-1879

2023

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Bayesian Optimization for Design of Multiscale Biological Circuits

ACS synthetic biology, 2023-07, Vol.12 (7), p.2073-2082

2023

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Stabilization of antithetic control via molecular buffering

Journal of the Royal Society interface, 2022-03, Vol.19 (188), p.20210762

2022

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Trade-Offs in Biosensor Optimization for Dynamic Pathway Engineering

ACS synthetic biology, 2022-01, Vol.11 (1), p.228-240

2022

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Noise Propagation in Synthetic Gene Circuits for Metabolic Control

ACS synthetic biology, 2015-02, Vol.4 (2), p.116-125

2015

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Growth Defects and Loss-of-Function in Synthetic Gene Circuits

ACS synthetic biology, 2019-06, Vol.8 (6), p.1231-1240

2019

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A Machine Learning Approach for Predicting Essentiality of Metabolic Genes

Methods in molecular biology (Clifton, N.J.), 2024, Vol.2760, p.345

2024

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Electrochemical reduction of Cr(VI) in the presence of sodium alginate and its application in water purification

Journal of environmental sciences (China), 2021-03, Vol.101, p.304-312

2021

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Identification of Genes Involved in Biogenesis of Outer Membrane Vesicles (OMVs) in Salmonella enterica Serovar Typhi

Frontiers in microbiology, 2019-02, Vol.10, p.104-104

2019

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Dynamics of complex feedback architectures in metabolic pathways

Automatica (Oxford), 2019-01, Vol.99, p.323-332

2019

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P1 Bacteriophage-Enabled Delivery of CRISPR-Cas9 Antimicrobial Activity Against Shigella flexneri

ACS synthetic biology, 2023-03, Vol.12 (3), p.709-721

2023

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Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality

NPJ systems biology and applications, 2024-03, Vol.10 (1), p.24-24, Article 24

2024

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Poly(N,N-dimethylaminoethyl methacrylate) for removing chromium (VI) through polymer-enhanced ultrafiltration technique

Reactive & functional polymers, 2018-06, Vol.127, p.67-73

2018

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Publisher Correction: Accuracy and data efficiency in deep learning models of protein expression

Nature communications, 2023-05, Vol.14 (1), p.2838-2838, Article 2838

2023

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Microbial polysaccharides: An emerging family of natural biomaterials for cancer therapy and diagnostics

Seminars in cancer biology, 2022-11, Vol.86 (Pt 3), p.706-731

2022

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Metabolite Sequestration Enables Rapid Recovery from Fatty Acid Depletion in Escherichia coli

mBio, 2020-03, Vol.11 (2)

2020

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Design and Study of a Photo-Switchable Polymeric System in the Presence of ZnS Nanoparticles under the Influence of UV Light Irradiation

Polymers, 2022-02, Vol.14 (5), p.945

2022

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Accuracy and data efficiency in deep learning models of protein expression

Mechanistic links between cellular trade-offs, gene expression, and growth

A Stochastic Model of Gene Expression with Polymerase Recruitment and Pause Release

Fundamental Design Principles for Transcription-Factor-Based Metabolite Biosensors

Dynamic optimization of metabolic networks coupled with gene expression

Pathways to cellular supremacy in biocomputing

Dynamic metabolic control: towards precision engineering of metabolism

Deep learning for optimization of protein expression

Applications of artificial intelligence and machine learning in dynamic pathway engineering

Bayesian Optimization for Design of Multiscale Biological Circuits

Stabilization of antithetic control via molecular buffering

Trade-Offs in Biosensor Optimization for Dynamic Pathway Engineering

Noise Propagation in Synthetic Gene Circuits for Metabolic Control

Growth Defects and Loss-of-Function in Synthetic Gene Circuits

A Machine Learning Approach for Predicting Essentiality of Metabolic Genes

Electrochemical reduction of Cr(VI) in the presence of sodium alginate and its application in water purification

Identification of Genes Involved in Biogenesis of Outer Membrane Vesicles (OMVs) in Salmonella enterica Serovar Typhi

Dynamics of complex feedback architectures in metabolic pathways

P1 Bacteriophage-Enabled Delivery of CRISPR-Cas9 Antimicrobial Activity Against Shigella flexneri

Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality

Poly(N,N-dimethylaminoethyl methacrylate) for removing chromium (VI) through polymer-enhanced ultrafiltration technique

Publisher Correction: Accuracy and data efficiency in deep learning models of protein expression

Microbial polysaccharides: An emerging family of natural biomaterials for cancer therapy and diagnostics

Metabolite Sequestration Enables Rapid Recovery from Fatty Acid Depletion in Escherichia coli

Design and Study of a Photo-Switchable Polymeric System in the Presence of ZnS Nanoparticles under the Influence of UV Light Irradiation

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