Author

Davin R. Jensen

Medical College of WisconsinORCID 0009-0001-6874-3420Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:protein structure· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Brian F. VolkmaniD· 3 shared Angela MathisoniD· 2 shared Brian C. SmithiD· 2 shared Gwen Alyce LomberkiD· 2 shared Michael T. ZimmermanniD· 2 shared Raul A. UrrutiaiD· 2 shared Brian D. RatnasingheiD· 1 shared Carolyn M. OttiD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersGenomics

Brian F. VolkmanORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 21, 2026

AlphaFold reveals but sometimes distorts an organizational principle of protein folding

Madeleine F Clore, Joseph F. Thole, Suchetan Dontha…·Lauren L. Porter

The paper uses AlphaFold to identify gating residues that control conformational accessibility in proteins, finding that AlphaFold sometimes misapplies this principle.

2 citations

protein structuredeep learning

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GenomicsComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2023

A Multi-Layered Computational Structural Genomics Approach Enhances Domain-Specific Interpretation of Kleefstra Syndrome Variants in EHMT1

Young‐In Chi, Salomão Dória Jorge, Davin R. Jensen…·Raul A. Urrutia

This paper classifies EHMT1 variants into structural, dynamic, and combined structural-dynamic categories using computational methods to improve variant interpretation for Kleefstra syndrome.

5 citations

humanprotein structure

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GenomicsComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2023

Beyond Structural Bioinformatics for Genomics with Dynamics Characterization of an Expanded KRAS Mutational Landscape

Brian D. Ratnasinghe, Neshatul Haque, Jessica B. Wagenknecht…·Michael T. Zimmermann

The paper uses molecular dynamics simulations to analyze 86 KRAS mutations, revealing mutation-specific conformations and functional insights not captured by current genomic tools.

10 citations

humanproteomics

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