Author

M. J. Schnieders

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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Biophysics· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:deep learning· 2 Assay:protein structure· 2 Approach:experimental assay· 1 Research Focus:protein folding & dynamics· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

G. Qi· 2 shared M. R. Tollefson· 2 shared B. S. J. Davies· 1 shared C. E. O'Connell· 1 shared H. V. Bernabe· 1 shared J. Litman· 1 shared K. C. Bierstedt· 1 shared K. L. Sylvers-Davie· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBiophysics

G. Qi

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Author profile →

3 papers

Recent·Most cited

Endothelial Lipase Variant, T111I, Does Not Alter Inhibition by Angiopoietin-like Proteins

K. L. Sylvers-Davie, K. C. Bierstedt, M. J. Schnieders, B. S. J. Davies

This study investigates the effect of the T111I variant in endothelial lipase on its activity, structure, and inhibition by ANGPTL3 and ANGPTL4, finding no significant differences from wild-type EL.

Scientific Reports · Feb 20, 2024Peer-reviewedBiochemistry

Protein Structure Prediction Using a Maximum Likelihood Formulation of a Recurrent Geometric Network

G. Qi, M. R. Tollefson, R. A. Gogal, R. J. H. Smith, M. AlQuraishi, M. J. Schnieders

This paper improves a protein structure prediction model by incorporating experimental uncertainty data and a maximum likelihood loss function, resulting in more accurate predictions and better convergence.

bioRxiv · Sep 3, 2021 · PreprintBiophysics

Structural Insights into Hearing Loss Genetics from Polarizable Protein Repacking

M. R. Tollefson, J. Litman, G. Qi, R. J. Marini, C. E. O'Connell, M. J. Wipfler, H. V. Bernabe, W. T. Tollefson, T. L. Casavant, T. A. Braun, R. J. Smith, M. J. Schnieders

This study improves the structural resolution of deafness-associated proteins using polarizable force fields and shows how these data can enhance pathogenicity prediction.

bioRxiv · Feb 21, 2019Biophysics