Author

Marshall Case

University of MichiganORCID 0000-0002-1504-4802Unclaimed ORCID profile · follow to get notified of new preprints

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Marshall Case1 paper

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Anna KoppiD· 1 shared Emily K. MakowskiiD· 1 shared Greg M. ThurberiD· 1 shared Jordan Vinh· 1 shared Matthew D. SmithiD· 1 shared Matthew SmithiD· 1 shared Peter M. TessieriD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperSynthetic Biology

Anna KoppORCID

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2 papers

Recent·Most cited

Synthetic BiologybioRxivPreprintDec 5, 2023

Discovery of high affinity and specificity stapled peptide Bcl-xL inhibitors using bacterial surface display

Marshall Case, Jordan Vinh, Anna Kopp…·Greg M. Thurber

The paper develops high-affinity, specific stapled peptides that inhibit Bcl-xL, showing 10 nM affinity and 100-fold selectivity over other Bcl-2 family members.

DOI 10.1101/2023.12.05.570108

experimental assaydrug response / drug discovery

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedJul 20, 2023

Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing data

Matthew D. Smith, Marshall Case, Emily K. Makowski, Peter M. Tessier

The paper introduces PSERM scoring to predict antibody variant properties from deep sequencing data, showing it outperforms traditional methods in reproducibility and correlation with experimental measurements.

10 citations

proteomicsstatistical model

𝕏 PostBluesky