Author

Laurel F. Kinman

University of California, San FranciscoORCID 0000-0001-6822-9352Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 3

Signature Assays, Organisms & Methods

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Assay:cryo-EM· 3 Approach:deep learning· 3 Research Focus:benchmarking· 2 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Joseph H. DavisiD· 3 shared Andrew V. GrassettiiD· 2 shared Maria V. CarreiraiD· 2 shared Barrett M. PowelliD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

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4 top collaborators · 5 mutual co-author links

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3 shared papersBiochemistry

Joseph H. DavisORCID

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3 papers

Recent·Most cited

Heterogeneous reconstruction algorithms for cryoEM achieve limited particle classification accuracy on real benchmark datasets

Laurel F. Kinman, Andrew V. Grassetti, Maria V. Carreira, Joseph H. Davis

This study evaluates heterogeneous reconstruction algorithms in cryoEM using benchmark datasets with ground-truth labels, finding limited accuracy in particle classification despite resolving structural heterogeneity.

bioRxiv · May 11, 2026 · PreprintBiochemistry

Engineered Cas9 complexes establish an experimentally grounded benchmark for heterogeneous cryoEM reconstruction methods

Andrew V. Grassetti, Laurel F. Kinman, Joseph H. Davis

The paper develops an experimentally grounded benchmark dataset for heterogeneous cryoEM reconstruction using engineered Cas9 complexes with defined DNA extensions.

bioRxiv · May 7, 2026 · PreprintBiochemistry

Automated model-free analysis of cryo-EM volume ensembles with SIREn

Laurel F. Kinman, Maria V. Carreira, Barrett M. Powell, Joseph H. Davis

This paper introduces SIREn, a tool for automated analysis of cryo-EM volume ensembles to identify structural states and quantify their occupancies.

Structure · Oct 8, 2024Peer-reviewedBiochemistry