Author

J. W. Vant

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· 2

Signature Assays, Organisms & Methods

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Assay:cryo-EM· 2 Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Research Focus:protein folding & dynamics· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

A. Singharoy· 2 shared D. Sarkar· 2 shared J. V. Vermaas· 2 shared E. Streitwieser· 1 shared G. Fiorin· 1 shared H. Lee· 1 shared M. Turilli· 1 shared R. D. Skeel· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 27 mutual co-author links

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2 shared papersBiophysics

A. Singharoy

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Author profile →

2 papers

Recent·Most cited

Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting

D. Sarkar, H. Lee, J. W. Vant, M. Turilli, J. V. Vermaas, S. Jha, A. Singharoy

This paper introduces an adaptive ensemble refinement method for protein structures using MDFF and RADICAL-Cybertools, improving correlation with cryo-EM density maps by 40%.

bioRxiv · Dec 7, 2021 · PreprintBiophysics

Data-guided Multi-Map variables for ensemble refinement of molecular movies

J. W. Vant, D. Sarkar, E. Streitwieser, G. Fiorin, R. D. Skeel, J. V. Vermaas, A. Singharoy

This paper introduces a method to refine molecular simulations using data-guided collective variables, showing improved free-energy estimates and structural accuracy compared to existing models.

The Journal of Chemical Physics · Dec 7, 2020Peer-reviewedBiophysics