Author

G. C. P. van Zundert

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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Signature Assays, Organisms & Methods

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Assay:cryo-EM· 2 Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

B. T. Riley· 1 shared D. A. Keedy· 1 shared D. Hogan· 1 shared G. Skiniotis· 1 shared H. van den Bedem· 1 shared J. S. Fraser· 1 shared K. Borrelli· 1 shared M. J. Robertson· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

B. T. Riley

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2 papers

Recent·Most cited

BiophysicsbioRxivSep 3, 2020

qFit 3: Protein and ligand multiconformer modeling for X-ray crystallographic and single-particle cryo-EM density maps

B. T. Riley, S. A. Wankowicz, S. H. P. de Oliveira…·H. van den Bedem

qFit 3 automates multiconformer modeling of dynamic proteins from X-ray and cryo-EM data, offering improved efficiency and accessibility.

DOI 10.1002/pro.4001

cryo-EMprotein structure

𝕏 PostBluesky

BiophysicsbioRxivSep 3, 2019

GemSpot: A Pipeline for Robust Modeling of Ligands into CryoEM Maps

M. J. Robertson, G. C. P. van Zundert, K. Borrelli, G. Skiniotis

GemSpot models ligand poses into cryoEM maps using computational chemistry methods, achieving accurate interactions and map agreement in validated cases.

DOI 10.1016/j.str.2020.04.018

cryo-EMdeep learning

𝕏 PostBluesky