Author

D. Kimanius

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biophysics· 6

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:cryo-EM· 5 Approach:deep learning· 4 Research Focus:protein structure prediction· 4 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:electronic health records· 1

Frequent Co-Authors

S. H. W. Scheres· 4 shared T. Nakane· 4 shared E. Lindahl· 2 shared S. Lövestam· 2 shared A. Burt· 1 shared A. G. Murzin· 1 shared A. Kotecha· 1 shared B. Forsberg· 1 shared

Activity by Year

2018-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersBiophysics

S. H. W. Scheres

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Data-driven regularisation lowers the size barrier of cryo-EM structure determination

D. Kimanius, K. Jamali, M. E. Wilkinson, S. Lövestam, V. Velazhahan, T. Nakane, S. H. Scheres

This paper introduces a deep-learning-based regularisation method for cryo-EM that improves reconstruction quality, enabling structure determination of smaller macromolecules with low signal-to-noise ratios.

bioRxiv · Oct 23, 2023 · PreprintBiophysics

DynaMight: estimating molecular motions with improved reconstruction from cryo-EM images

J. Schwab, D. Kimanius, A. Burt, T. Dendooven, S. Scheres

DynaMight improves cryo-EM reconstruction by estimating molecular motions through 3D deformation learning and error estimation using VAEs.

bioRxiv · Oct 18, 2023Biophysics

Disease-specific tau filaments assemble via polymorphic intermediates

S. Lövestam, D. Li, J. L. Wagstaff, A. Kotecha, D. Kimanius, S. H. McLaughlin, A. G. Murzin, S. M. V. Freund, M. Goedert, S. H. W. Scheres

This study uses cryo-EM to analyze intermediate structures in tau filament assembly, revealing shared and condition-dependent intermediates in Alzheimer's and CTE pathogenesis.

bioRxiv · Jul 24, 2023Biophysics

New tools for automated cryo-EM single-particle analysis in RELION-4.0

D. Kimanius, L. Dong, G. Sharov, T. Nakane, S. H. W. Scheres

The paper introduces new tools in RELION-4.0 for automated cryo-EM single-particle analysis, including a gradient descent algorithm, a neural network for 2D class selection, and a job framework with metadata linking.

bioRxiv · Sep 30, 2021Biophysics

RELION-3: new tools for automated high-resolution cryo-EM structure determination

J. Zivanov, T. Nakane, B. Forsberg, D. Kimanius, W. J. H. Hagen, E. Lindahl, S. H. W. Scheres

RELION-3 introduces new tools for automated high-resolution cryo-EM structure determination, improving resolution through enhanced processing methods and hardware flexibility.

bioRxiv · Sep 19, 2018Biophysics

Characterisation of molecular motions in cryo-EM single-particle data by multi-body refinement in RELION

T. Nakane, D. Kimanius, E. Lindahl, S. H. W. Scheres

The paper introduces a new cryo-EM single-particle analysis tool called multi-body refinement to model flexible macromolecular complexes and generate reconstructions and motion movies.

bioRxiv · Mar 22, 2018Biophysics