Author

A. Jussupow

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· 3 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Approach:deep learning· 3 Research Focus:protein folding & dynamics· 3 Assay:structural biology· 3 Approach:Bayesian inference· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

C. Camilloni· 3 shared A. Bach· 1 shared A. C. Messias· 1 shared A. E. Langkilde· 1 shared A. Geerlof· 1 shared B. B. Kragelund· 1 shared C. Paissoni· 1 shared E. A. Newcombe· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersBiophysics

C. Camilloni

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Author profile →

4 papers

Recent·Most cited

Effective Molecular Dynamics from Neural-Network Based Structure Prediction Models

A. Jussupow, V. R. I. Kaila

The paper correlates AlphaFold2 prediction scores with molecular dynamics simulations to derive an elastic network model for protein dynamics.

bioRxiv · Oct 17, 2022Biophysics

Refinement of α-synuclein ensembles against SAXS data: Comparison of force fields and methods

M. C. Ahmed, L. K. Skaanning, A. Jussupow, E. A. Newcombe, B. B. Kragelund, C. Camilloni, A. E. Langkilde, K. Lindorff-Larsen

The paper compares force fields and methods for refining α-synuclein ensembles using SAXS data, showing that accurate ensembles require compatible simulations and experimental integration.

bioRxiv · Jan 15, 2021Biophysics

Molecular recognition and dynamics of linear poly-ubiquitins: integrating coarse-grain simulations and experiments

A. Jussupow, A. C. Messias, R. Stehle, A. Geerlof, S. M. O. Solbak, A. Bach, M. Sattler, C. Camilloni

This paper combines coarse-grain simulations and experiments to study the conformational dynamics of linear poly-ubiquitin chains and their interaction with NEMO.

bioRxiv · Apr 14, 2020 · PreprintBiophysics

Martini bead form factors for nucleic-acids and their application in the refinement of protein/nucleic-acid complexes against SAXS data

C. Paissoni, A. Jussupow, C. Camilloni

The paper derives and implements Martini bead form factors for nucleic acids to refine protein/nucleic-acid complexes against SAXS data using a hybrid multi-resolution strategy.

bioRxiv · Dec 16, 2018Biochemistry