Author

J. Zanghellini

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· 2 Biochemistry· 1 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Organism:human· 2 Research Focus:metabolism & bioenergetics· 2 Assay:metabolomics· 2 Approach:deep learning· 1 Organism:E. coli· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1

Frequent Co-Authors

M. Gotsmy· 3 shared A. Bileck· 1 shared A. J. Mueller· 1 shared A. Slany· 1 shared B. K. Keppler· 1 shared B. Kraus· 1 shared B. Neuditschko· 1 shared B. Zwirzitz· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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3 shared papersBioengineering

M. Gotsmy

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Optimizing Fed-Batch Processes with Dynamic Control Flux Balance Analysis

M. Gotsmy, D. Giannari, R. Mahadevan, J. Zanghellini

This paper improves dynamic flux balance analysis for fed-batch processes by reducing KKT constraints and adapting the algorithm to predict optimal process length and feeding profiles.

bioRxiv · Jun 11, 2024Bioengineering

Sulfate limitation increases specific plasmid DNA yield and productivity in E. coli fed-batch processes

M. Gotsmy, F. Strobl, F. Weiss, P. Gruber, B. Kraus, J. Mairhofer, J. Zanghellini

bioRxiv · Feb 9, 2023Bioengineering

Finger Sweat Analysis Enables Short Interval Metabolic Biomonitoring in Humans

J. Brunmair, L. Niederstaetter, B. Neuditschko, A. Bileck, A. Slany, L. Janker, M. L. Feuerstein, C. Langbauer, M. Gotsmy, J. Zanghellini, S. M. Meier-Menches, C. Gerner

This paper demonstrates that finger sweat can be used for short interval metabolic biomonitoring, detecting caffeine metabolites and enabling non-invasive, repeated sampling.

Nature Communications · Oct 13, 2021Peer-reviewedBiochemistry

Thermodynamic genome-scale metabolic modeling of metallodrug resistance in colorectal cancer

H. A. Herrmann, M. Rusz, D. Baier, M. A. Jakupec, B. K. Keppler, W. Berger, G. Koellensperger, J. Zanghellini

The paper uses metabolomics and metabolic modeling to compare drug-sensitive and -resistant colorectal cancer cells, highlighting the importance of normalization in identifying drug-specific metabolic changes.

bioRxiv · Jun 9, 2021Cancer Biology

A prospective role for the rumen in generating antibiotic resistance

C. R. Strachan, A. J. Mueller, M. Ghanbari, V. Neubauer, B. Zwirzitz, S. Thalguter, M. Dzieciol, S. U. Wetzels, J. Zanghellini, M. Wagner, S. Schmitz-Esser, E. Mann

This study identifies resistance gene clusters in rumen Bacteroidetes and suggests their role in spreading antibiotic resistance to human pathogens.

bioRxiv · Aug 12, 2019 · PreprintMicrobiology