Author

Carter J. Wilson

Western UniversityORCID 0000-0002-8992-6269Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:protein folding & dynamics· 2 Assay:protein structure· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Mikko KarttuneniD· 2 shared Wing‐Yiu ChoyiD· 2 shared Benjamin S. RutledgeiD· 1 shared Edward A. FoniD· 1 shared Esther del Cid‐PelliteroiD· 1 shared Helmut GrubmülleriD· 1 shared Juan Camilo Jurado-CoroneliD· 1 shared Justin A. LegleiteriD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBiochemistry

Mikko KarttunenORCID

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3 papers

Recent·Most cited

BiochemistryMolecular Neurodegeneration AdvancesPeer-reviewedApr 24, 2026

STIP1/HOP Promotes the Formation of Cytotoxic α-Synuclein Oligomers

Benjamin S. Rutledge, Carter J. Wilson, Rachel M. Lau…·Wing‐Yiu Choy

This study identifies how STIP1/HOP interacts with a-Syn to promote toxic oligomer formation in synucleinopathies.

2 citations

mouseproteomics

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BiophysicsJournal of Chemical Theory and ComputationPeer-reviewedFeb 25, 2026

Improving conformational ensembles of folded proteins in GoMartini

Maksim A. Kalutskii, Carter J. Wilson, Helmut Grubmüller, Maxim Igaev

The paper improves the conformational ensembles of folded proteins in GoMartini by optimizing G[o] networks using a perturbation-based approach against atomistic simulations.

1 citation

protein structuredeep learning

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BioinformaticsInternational Journal of Molecular SciencesPeer-reviewedApr 21, 2022

AlphaFold2: A role for disordered protein prediction?

Carter J. Wilson, Wing‐Yiu Choy, Mikko Karttunen

This study evaluates AlphaFold2's ability to predict disordered protein regions compared to traditional predictors, finding pLDDT provides a better metric than DSSP.

173 citationstop 1%

protein structurestatistical model

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