Author

Oliver Spadiut A

The Graduate University for Advanced Studies, SOKENDAIORCID 0000-0003-0916-0644Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:mouse· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Cloe de Luxán‐HernándeziD· 1 shared Eleazar RodrigueziD· 1 shared Elisabeth RoitingeriD· 1 shared Gerhard DürnbergeriD· 1 shared Guido Schlögel· 1 shared Jakob Valdbjørn KanneiD· 1 shared Julian KoppiD· 1 shared Jürgen ZanghelliniiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPlant Biology

Cloe de Luxán‐HernándezORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Plant BiologybioRxivPreprintMay 2, 2025

A moss N-Acetyltransferase-MAPK protein controls 2D to 3D developmental transition via acetylation and phosphorylation changes

Cloe de Luxán‐Hernández, Thomas Juel Ammitsøe, Jakob Valdbjørn Kanne…·Morten Petersen

This study identifies a moss protein with dual acetylation and phosphorylation domains that regulates the 2D-to-3D developmental transition through PTM-mediated metabolic reprogramming.

DOI 10.1101/2025.05.02.650421

mouseproteomics

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BioengineeringComputational and Structural Biotechnology JournalPeer-reviewedOct 11, 2024

Optimizing Bioprocessing Efficiency with OptFed: Dynamic Nonlinear Modeling Improves Product-to-Biomass Yield

Guido Schlögel, Rüdiger Lück, Stefan Kittler…·Mathias Gotsmy

OptFed improves product-to-biomass yield in fed-batch bioprocessing by using dynamic nonlinear modeling to optimize feed rate and reactor temperature.

10 citations

deep learningstatistical model

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