Author

J. Hemmerich

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

Biology Disciplines

Click to filter author papers

Bioengineering· 2 Biochemistry· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:genetic perturbation / CRISPR· 1

Frequent Co-Authors

N. Tenhaef· 2 shared S. Noack· 2 shared W. Wiechert· 2 shared A. Cesar-Razquin· 1 shared A. Ingles-Prieto· 1 shared A. Ringler· 1 shared A. Yeliseev· 1 shared C. Mueller· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioengineering

N. Tenhaef

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

ALiCE: A versatile, high yielding and scalable eukaryotic cell-free protein synthesis (CFPS) system

M. Das Gupta, Y. Flaskamp, R. Roentgen, H. Juergens, J. Armero Gimenez, F. Albrecht, J. Hemmerich, Z. Ahmad Arfi, J. Neuser, H. Spiegel, A. Yeliseev, L. Song, J. Qiu, C. Williams, R. Finnern

This paper introduces ALiCE, a scalable eukaryotic cell-free protein synthesis system capable of producing complex proteins at high yields and demonstrating functional activity and post-translational modifications.

bioRxiv · Nov 10, 2022 · PreprintBiochemistry

bletl - A Python package for integrating microbioreactors in the design-build-test-learn cycle

M. Osthege, N. Tenhaef, R. Zyla, C. Mueller, J. Hemmerich, W. Wiechert, S. Noack, M. Oldiges

The paper introduces the bletl Python package for analyzing microbioreactor data, enabling machine learning and robust data analysis through automated preprocessing and specialized functions.

bioRxiv · Aug 24, 2021 · PreprintBioengineering

pyFOOMB: Python Framework for Object Oriented Modelling of Bioprocesses

J. Hemmerich, N. Tenhaef, W. Wiechert, S. Noack

pyFOOMB provides a Python framework for implementing bioprocess models as ODEs, enabling flexible, modular, and extensible modeling with integration of experimental data and optimization tools.

bioRxiv · Nov 10, 2020Bioengineering

A widespread role for SLC transmembrane transporters in resistance to cytotoxic drugs

E. Girardi, A. Cesar-Razquin, K. Papakostas, S. Lindinger, J. Konecka, J. Hemmerich, S. Kickinger, F. Kartnig, A. Ingles-Prieto, G. Fiume, A. Ringler, C.-H. Lardeau, R. K. Kandasamy, S. Kubicek, G. F. Ecker, G. Superti-Furga

This study identifies SLC transporters critical for drug resistance using CRISPR screens in human cells, revealing widespread roles of SLCs in drug uptake and activity.

bioRxiv · Aug 8, 2019Cell Biology