Author

Apostolos Zournas

United States Department of EnergyORCID 0000-0003-0565-6781Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:metabolomics· 1 Organism:yeast· 1

Frequent Co-Authors

Andrew B. ConleyiD· 1 shared Azadeh Alikhani· 1 shared Christopher J. PetzoldiD· 1 shared David Melis· 1 shared Héctor García MartíniD· 1 shared Hooman HefziiD· 1 shared Jeffrey A. Dietrich· 1 shared Jennifer W. GiniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Andrew B. ConleyORCID

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintMay 27, 2025

Prediction of metabolic dynamics through deep learning and high-throughput multiomics data

Jose Manuel Martí, Patrick C. Kinnunen, Mark Held…·Héctor García Martín

This paper trains a deep learning model on multiomics data to predict metabolic dynamics in synthetic biology, achieving high accuracy in predicting product and metabolite levels.

DOI 10.1101/2025.05.27.656438

yeastmetabolomics

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