Author

Lisa M. Jones

University of California San DiegoORCID 0000-0001-8825-060XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:protein folding & dynamics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Ajay Sharma· 1 shared Alexey I. NesvizhskiiiD· 1 shared Anter A. Shami· 1 shared Carolina Rojas RamíreziD· 1 shared Daniel A. PolaskyiD· 1 shared Haolin Luo· 1 shared James A. StewartiD· 1 shared Jessica A. EspinoiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBiochemistry

Ajay Sharma

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2 papers

Recent·Most cited

BiochemistryNature CommunicationsPeer-reviewedFeb 7, 2026

Radical Footprinting in Mammalian Whole Blood

Mingming Zhao, Lyle Tobin, Sandeep Kumar Misra…·Joshua S. Sharp

This study applies radical protein footprinting to mammalian whole blood, identifying disease-associated conformational changes in proteins from T2DM mice.

1 citation

mouseproteomics

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BioinformaticsAnalytical ChemistryPeer-reviewedOct 25, 2023

Efficient Analysis of Proteome-wide FPOP Data by FragPipe

Carolina Rojas Ramírez, Jessica A. Espino, Lisa M. Jones…·Alexey I. Nesvizhskii

The paper introduces a computational workflow for faster and more sensitive analysis of FPOP data, achieving 10-fold speed improvement and 50% more modified peptide spectra identification.

14 citations

proteomicsstatistical model

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