Author

Kyle N. Hess

University of WashingtonORCID 0000-0003-2096-0626Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Organism:yeast· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:protein design· 1

Frequent Co-Authors

Judit VilléniD· 3 shared Ricard A. Rodríguez‐MiasiD· 3 shared Ian R.L. SmithiD· 2 shared Anja R. OllodartiD· 1 shared Anna A. BakhtinaiD· 1 shared Anthony S. BarenteiD· 1 shared Anthony S. Valente· 1 shared Bianca Y. Ruiz· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersSystems Biology

Judit VillénORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintMar 9, 2023

Multidimensional proteomics identifies molecular trajectories of cellular aging and rejuvenation

Mario Leutert, Joe Armstrong, Anja R. Ollodart…·Judit Villén

This study uses multidimensional proteomics to analyze age-related changes in yeast cells, identifying molecular trajectories of aging and rejuvenation.

6 citations

yeastproteomics

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GenomicsbioRxivPreprintApr 6, 2022

Proteome-wide identification of amino acid substitutions deleterious for protein function

Ricard A. Rodríguez‐Mias, Kyle N. Hess, Bianca Y. Ruiz…·Judit Villén

The paper introduces a proteomic technology called Miro to identify amino acid substitutions that affect protein function by using mistranslation and mass spectrometry.

4 citations

yeastproteomics

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Systems BiologyNature MethodsPeer-reviewedJun 17, 2021

Identification of phosphosites that alter protein thermal stability

Ian R.L. Smith, Kyle N. Hess, Anna A. Bakhtina…·Judit Villén

The paper identifies phosphosites that affect protein thermal stability by measuring stability differences between proteins and their phosphorylated forms at a proteomic scale.

53 citations

proteomicsstatistical model

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