Author

Mustafa Baniodeh

Lawrence Berkeley National Laboratory

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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 Apostolos ZournasiD· 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

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

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

Jose Manuel Martí, Patrick C. Kinnunen, Mark Held, Azadeh Alikhani, Andrew B. Conley, Yan Chen, Tijana Radivojević, Jennifer W. Gin, Apostolos Zournas, Rebecca M. Lennen, Hooman Hefzi, Mustafa Baniodeh, Peter Harrington, Mark Forrer, David Melis, , 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.

bioRxiv · May 27, 2025 · PreprintBioengineering