Author

S. Lindemose

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· 2 Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:protein structure· 3 Organism:yeast· 3 Research Focus:protein folding & dynamics· 2 Research Focus:variant effect prediction· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

K. Lindorff-Larsen· 4 shared R. Hartmann-Petersen· 4 shared A. Stein· 3 shared S. Larsen-Ledet· 2 shared S. V. Nielsen· 2 shared A. Caregnato· 1 shared A. Panfilova· 1 shared A. Prestel· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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4 shared papersBiochemistry

K. Lindorff-Larsen

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Systematic characterization of indel variants using a yeast-based protein folding sensor

S. Larsen-Ledet, S. Lindemose, A. Panfilova, S. Gersing, C. H. Suhr, A. V. Genzor, H. Lanters, S. V. Nielsen, K. Lindorff-Larsen, J. R. Winther, A. Stein, R. Hartmann-Petersen

The paper develops a yeast-based protein folding sensor to study indel variants, finding that most tolerated indels occur in specific regions and that computational tools can predict their effects.

bioRxiv · Jul 11, 2024Biochemistry

Deciphering the alphabet of disorder -- Glu and Asp act differently on local but not global properties

M. A. Roesgaard, J. E. Lundsgaard, E. A. Newcombe, N. L. Jacobsen, F. Pesce, E. E. Tranchant, S. Lindemose, A. Prestel, R. Hartmann-Petersen, K. Lindorff-Larsen, B. B. Kragelund

This study compares the functional and structural differences between glutamate and aspartate in intrinsically disordered proteins using experimental and computational methods.

bioRxiv · Aug 25, 2022Biophysics

Discovering functionally important sites in proteins

M. Cagiada, S. Bottaro, S. Lindemose, S. M. Schenstrom, A. Stein, R. Hartmann-Petersen, K. Lindorff-Larsen

This paper introduces a machine learning method to predict functional sites in proteins by integrating sequence conservation and biophysical stability models, validated through experimental data on missense variants.

bioRxiv · Jul 14, 2022Biophysics

Disease-linked mutations trigger exposure of a protein quality control degron in the DHFR protein

C. Kampmeyer, S. Larsen-Ledet, M. R. Wagnkilde, M. Michelsen, H. K. M. Iversen, S. V. Nielsen, S. Lindemose, A. Caregnato, T. Ravid, A. Stein, K. Teilum, K. Lindorff-Larsen, R. Hartmann-Petersen

The paper identifies two PQC degrons in DHFR that become exposed in disease-linked missense variants, leading to proteasomal degradation.

bioRxiv · Nov 4, 2021Biochemistry