Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism (Q99727510)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32978375%20AND%20SRC:MED&resulttype=core&format=json

29 September 2020

title

Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism (English)

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29 September 2020

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29 September 2020

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29 September 2020

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29 September 2020

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29 September 2020

Andrés Pérez-Manríquez

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29 September 2020

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29 September 2020

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29 September 2020

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29 September 2020

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29 September 2020

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29 September 2020

Eduardo Abeliuk

1 reference

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29 September 2020

Benjamín J Sánchez

1 reference

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29 September 2020

Zak Costello

1 reference

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29 September 2020

Jens Nielsen

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29 September 2020

publication date

25 September 2020

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29 September 2020

published in

Nature Communications

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29 September 2020

volume

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29 September 2020

issue

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29 September 2020

page(s)

4880

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describes a project that uses

29 September 2020

Jupyter notebook file

1 reference

1 reference

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519671/

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1 March 2021

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1 March 2021

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1 March 2021

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1 March 2021

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1 March 2021

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1 March 2021

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1 March 2021

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1 March 2021

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1 March 2021

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Parallel tempering: theory, applications, and new perspectives

1 March 2021

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A comprehensive strategy enabling high-resolution functional analysis of the yeast genome.

1 March 2021

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Multiple signalling pathways trigger the exquisite sensitivity of yeast gluconeogenic mRNAs to glucose

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Analysis of feedback-resistant anthranilate synthases from Saccharomyces cerevisiae

1 March 2021

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Cloning, primary structure and regulation of the ARO4 gene, encoding the tyrosine-inhibited 3-deoxy-D-arabino-heptulosonate-7-phosphate synthase from Saccharomyces cerevisiae

1 March 2021

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Isolation and characterization of a Saccharomyces cerevisiae mutant deficient in pyruvate kinase activity

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The Lack of A Priori Distinctions Between Learning Algorithms

1 March 2021

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7 January 2021

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A machine learning Automated Recommendation Tool for synthetic biology

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Robust statistics for outlier detection

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https://api.crossref.org/works/10.1038%2FS41467-020-17910-1

inferred from DOI database lookup

7 January 2021

based on heuristic

Identifiers

DOI

10.1038/S41467-020-17910-1

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32978375%20AND%20SRC:MED&resulttype=core&format=json

29 September 2020

0 references

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1 reference

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