Author

Kristin L. Leskoske

GenentechORCID 0000-0002-9187-2730Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:protein folding & dynamics· 2 Assay:proteomics· 2 Approach:statistical model· 1

Frequent Co-Authors

Christopher M. RoseiD· 2 shared Susan KlaegeriD· 2 shared Alexey I. NesvizhskiiiD· 1 shared Ana MarcuiD· 1 shared Denys OliinykiD· 1 shared Fengchao YuiD· 1 shared Hem R. GurungiD· 1 shared Zhenru ZhouiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 19 mutual co-author links

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2 shared papersCancer Biology

Christopher M. RoseORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJun 2, 2026

Real-time artificial intelligence prediction of peptide characteristics and MSFragger search improves multiplexed quantification of non-canonical HLA presented peptides in clear cell renal cell carcinoma.

Ana Marcu, Kristin L. Leskoske, Fengchao Yu…·Christopher Rose

The paper introduces MIRA-MS, a real-time AI-guided acquisition method that improves quantification of non-canonical HLA peptides in clear cell renal cell carcinoma.

DOI 10.64898/2026.05.29.727942

humanproteomics

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Cancer BiologyMolecular & Cellular ProteomicsPeer-reviewedMar 3, 2025

diaPASEF analysis for HLA-I peptides enables quantification of common cancer neoantigens

Denys Oliinyk, Hem R. Gurung, Zhenru Zhou…·Susan Klaeger

This study evaluates diaPASEF for high-sensitivity identification and quantification of HLA-I peptides, demonstrating improved detection of neoantigens in cancer models.

14 citations

humanproteomics

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