Author

M. M. Kassem

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 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

K. Lindorff-Larsen· 2 shared A. Koza· 1 shared A. Stein· 1 shared A. T. Nielsen· 1 shared A. Zutz· 1 shared E. Papaleo· 1 shared K. E. Johansson· 1 shared K. Teilum· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBiophysics

K. Lindorff-Larsen

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2 papers

Recent·Most cited

Rapid protein stability prediction using deep learning representations

L. M. Blaabjerg, M. M. Kassem, L. L. Good, N. Jonsson, M. Cagiada, K. E. Johansson, W. Boomsma, A. Stein, K. Lindorff-Larsen

This paper introduces RaSP, a deep learning method for rapid protein stability prediction, showing it matches biophysics-based methods and reveals population-level patterns in stability changes.

bioRxiv · Jul 14, 2022Biophysics

A dual-reporter system for investigating and optimizing protein translation and folding in E. coli

A. Zutz, L. Hamborg, L. E. Pedersen, M. M. Kassem, E. Papaleo, A. Koza, M. J. Herrgard, K. Teilum, K. Lindorff-Larsen, A. T. Nielsen

This paper introduces a dual-reporter system to assess protein translation and folding in E. coli, validated on five proteins with good correlation between reporter signals and protein expression/solubility.

bioRxiv · Sep 18, 2020Biochemistry