Author

Martin J. Fossat

Max Planck Institute of Immunobiology and EpigeneticsORCID 0000-0003-3078-2886Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

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Alex S. HolehouseiD· 1 shared Emery T. UsheriD· 1 shared

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2024-2025 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBiophysics

Alex S. HolehouseORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedJan 16, 2025

MEDOC: A fast, scalable and mathematically exact algorithm for the site-specific prediction of the protonation degree in large disordered proteins

Martin J. Fossat

MEDOC predicts protonation degrees in disordered proteins by reducing computational complexity through context-based parameter optimization.

1 citation

protein sequencestatistical model

𝕏 PostBluesky

BiophysicsBiophysical JournalPeer-reviewedNov 13, 2024

Phosphorylation of disordered proteins tunes local and global intramolecular interactions

Emery T. Usher, Martin J. Fossat, Alex S. Holehouse

This study uses all-atom simulations to model phosphorylation effects on intrinsically disordered proteins, showing agreement with experimental data on conformational changes.

32 citationstop 5%

protein structuredeep learning

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