Author

J. S. Koeppen

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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Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Di Ianni· 1 shared A. Sinz· 1 shared C. Arlt· 1 shared C. H. Ihling· 1 shared C. Iacobucci· 1 shared C. Tueting· 1 shared M. Kipping· 1 shared P. L. Kastritis· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBiochemistry

A. Di Ianni

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1 paper

Recent·Most cited

Structural Assessment of the Full-Length Wild-Type Tumor Suppressor Protein p53 by Mass Spectrometry-Guided Computational Modeling

A. Di Ianni, C. Tueting, M. Kipping, C. H. Ihling, J. S. Koeppen, C. Iacobucci, C. Arlt, P. L. Kastritis, A. Sinz

This study uses mass spectrometry and computational modeling to assess the structure of full-length wild-type p53, revealing compaction of the C-terminal region and supporting a model of DNA binding.

bioRxiv · Nov 11, 2022 · PreprintBiochemistry