Author

N. Jonsson

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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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

K. E. Johansson· 2 shared K. Lindorff-Larsen· 2 shared A. I. Trolle· 1 shared A. Stein· 1 shared F. Pesce· 1 shared G. Tesei· 1 shared J. Betz· 1 shared L. L. Good· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBiophysics

K. E. Johansson

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2 papers

Recent·Most cited

Conformational ensembles of the human intrinsically disordered proteome: Bridging chain compaction with function and sequence conservation

G. Tesei, A. I. Trolle, N. Jonsson, J. Betz, F. Pesce, K. E. Johansson, K. Lindorff-Larsen

The paper develops a model to predict conformational ensembles of human intrinsically disordered regions (IDRs) from sequence, showing correlations between chain compaction, function, localization, and sequence conservation across orthologs.

bioRxiv · May 8, 2023 · PreprintBiophysics

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