Author

Glenn Nurwono

University of California, Los AngelesORCID 0000-0001-5879-3582Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Junyoung O. ParkiD· 2 shared Richard C. LawiD· 2 shared Kartikeya Pande· 1 shared Pin‐Kuang LaiiD· 1 shared Rachel Ki· 1 shared Samantha O’KeeffeiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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2 shared papersSystems Biology

Junyoung O. ParkORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintNov 6, 2023

Accurate and rapid determination of metabolic flux by deep learning of isotope patterns

Richard C. Law, Kartikeya Pande, Samantha O’Keeffe…·Junyoung O. Park

This paper introduces ML-Flux, a deep learning framework for accurately and rapidly determining metabolic flux from isotope patterns, outperforming existing methods in speed and accuracy.

1 citation

metabolomicsdeep learning

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Systems BiologybioRxivPreprintAug 19, 2022

A parallel glycolysis supports rapid adaptation in dynamic environments

Richard C. Law, Glenn Nurwono, Junyoung O. Park

The paper identifies that the Entner-Doudoroff pathway provides a metabolic advantage in dynamic nutrient environments by enabling faster response times during nutrient upshifts.

DOI 10.1101/2022.08.19.504590

E. colimetabolomics

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