Author

Emma L. Gunderson

University of California, San FranciscoORCID 0000-0002-4038-5238Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Amith Vikram RangarajaniD· 1 shared Beth Apsel WingeriD· 1 shared Ilona Sviezhentseva· 1 shared Matthew P. JacobsoniD· 1 shared Yana PikmaniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperCancer Biology

Amith Vikram RangarajanORCID

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1 paper

Recent·Most cited

Cancer BiologyFrontiers in OncologyPeer-reviewedAug 4, 2025

A structure-based tool to interpret the significance of kinase mutations in clinical next generation sequencing in cancer

Amith Vikram Rangarajan, Ilona Sviezhentseva, Emma L. Gunderson…·Beth Apsel Winger

The paper develops a structure-based tool to evaluate kinase mutations in cancer by aligning them with known activating mutations using structural and functional data.

DOI 10.3389/fonc.2025.1599389

humanproteomics

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