Author

Andreas Mardt

ORCID 0000-0002-7353-6063Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Assay:protein structure· 2 Approach:statistical model· 2 Assay:cryo-EM· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Shray VatsiD· 2 shared Soumendranath BhakatiD· 2 shared Alexei DegtereviD· 1 shared Eva‐Maria StrauchiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersBiophysics

Shray VatsORCID

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2 papers

Recent·Most cited

CryoPhold: CryoEM meets AlphaFold and molecular simulation to reveal protein dynamics

Soumendranath Bhakat, Shray Vats, Andreas Mardt, Eva‐Maria Strauch

CryoPhold integrates AlphaFold, cryo-EM, and molecular simulations to predict protein dynamics and structural hotspots in human proteins like GlyT1 and BRAF mutants.

bioRxiv · Sep 12, 2025 · PreprintBiophysics

Generalizable Protein Dynamics in Kinases: Physics is the key

Soumendranath Bhakat, Shray Vats, Andreas Mardt, Alexei Degterev

This paper introduces a computational framework to study kinase conformational dynamics by integrating AlphaFold, machine learning, and physics-based simulations to explore metastable states beyond traditional binary classifications.

bioRxiv · Mar 6, 2025 · PreprintBiophysics