Author

W. Yeung

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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Evolutionary Biology· 3 Biochemistry· 2

Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 3 Assay:proteomics· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Approach:comparative / phylogenetic analysis· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

N. Kannan· 5 shared A. Venkat· 4 shared D. P. Byrne· 3 shared C. Bunn· 2 shared C. E. Eyers· 2 shared L. A. Daly· 2 shared N. Gravel· 2 shared P. A. Eyers· 2 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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5 shared papersEvolutionary Biology

N. Kannan

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Redox Regulation of Brain Selective Kinases BRSK1/2: Implications for Dynamic Control of the Eukaryotic AMPK family through Cys-based mechanisms

G. Bendzunas, D. P. Byrne, S. Shrestha, L. A. Daly, S. O. Oswald, S. Katiyar, A. Venkat, W. Yeung, C. E. Eyers, P. A. Eyers, N. Kannan

This study investigates how redox regulation via cysteine oxidation controls BRSK1/2 kinase activity, revealing conserved mechanisms that modulate catalytic function through disulfide bond formation and salt bridge disruption.

bioRxiv · Oct 5, 2023 · PreprintBiochemistry

Mechanistic and evolutionary insights into isoform-specific 'supercharging' in DCLK family kinases

A. Venkat, G. Watterson, D. P. Byrne, B. O. Boyle, S. Shrestha, N. Gravel, E. E. Fairweather, L. A. Daly, C. Bunn, W. Yeung, I. Aggarwal, S. Katiyar, C. E. Eyers, P. Eyers, N. Kannan

This study investigates how isoform-specific variations in DCLK family kinases affect autoregulation through structural and functional analyses.

bioRxiv · Mar 29, 2023Evolutionary Biology

Functional classification and validation of yeast prenylation motifs using machine learning and genetic reporters

B. M. Berger, W. Yeung, A. Goyal, Z. Zhou, E. R. Hildebrandt, N. Kannan, W. K. Schmidt

This study improves prenylation predictions in yeast using machine learning, identifying new motifs and distinguishing cleaved from shunted sequences.

bioRxiv · Nov 30, 2021Biochemistry

Evolution of functional diversity in the holozoan tyrosine kinome

W. Yeung, A. Kwon, R. Taujale, C. Bunn, A. Venkat, N. Kannan

This study classifies holozoan tyrosine kinases using sequence constraints, identifies new subgroups, and links functional diversity to evolutionary changes in kinase domains.

bioRxiv · Aug 3, 2021Evolutionary Biology

KinOrtho: a method for mapping human kinase orthologs across the tree of life and illuminating understudied kinases

L.-C. Huang, R. Taujale, N. Gravel, A. Venkat, W. Yeung, D. P. Byrne, P. A. Eyers, N. Kannan

KinOrtho maps human kinase orthologs across 17,000 species, identifies understudied kinases, and proposes their functions using domain-based approaches and machine learning.

bioRxiv · Mar 5, 2021Evolutionary Biology