Author

Tobias M. Prass

Ruhr University BochumORCID 0009-0000-6450-5364Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:mechanistic / dynamical model· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Lars V. SchäferiD· 2 shared Michaela BlechiD· 2 shared Patrick GarideliD· 2 shared Kresten Lindorff‐LarseniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBiophysics

Lars V. SchäferORCID

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2 papers

Recent·Most cited

BiophysicsThe Journal of Physical Chemistry LettersPeer-reviewedDec 7, 2025

Predicting the Dynamic Viscosity of High-Concentration Antibody Solutions with a Chemically Specific Coarse-Grained Model

Tobias M. Prass, Patrick Garidel, Michaela Blech, Lars V. Schäfer

This study uses a refined coarse-grained model to predict the viscosity of high-concentration antibody solutions, showing improved accuracy over existing models.

4 citations

mechanistic / dynamical modeldrug response / drug discovery

𝕏 PostBluesky

BiophysicsJournal of Chemical Information and ModelingPeer-reviewedMar 25, 2025

Optimized Protein-Excipient Interactions in the Martini 3 Force Field

Tobias M. Prass, Kresten Lindorff‐Larsen, Patrick Garidel…·Lars V. Schäfer

This study improves the Martini 3 force field to accurately model protein-excipient interactions in mAb formulations using arginine and glutamate as excipients.

5 citations

protein structuredeep learning

𝕏 PostBluesky