Publications

Publications

  1. Predicting protein and pathway associations for understudied dark kinases using pattern-constrained knowledge graph embedding

    Salcedo, M.V., Gravel, N., Keshavarzi, A., Huang, L.C., Kochut, K.J. and Kannan, N.

    PeerJ, 2023

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

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

    elife, 2023

    ArticleDOI
  3. Prevalence and Homology of the Pneumococcal Serine-Rich Repeat Protein at the Global Scale

    Aceil, J., Venkat, A., Pan, E., Kannan, N. and Avci, F.

    Microbiology Spectrum, 2023

    ArticleDOI
  4. Structural and biochemical insight into a modular β-1, 4-galactan synthase in plants

    Prabhakar, P.K., Pereira, J.H., Taujale, R., Shao, W., Bharadwaj, V.S., Chapla, D., Yang, J.Y., Bomble, Y.J., Moremen, K.W., Kannan, N., Hammel, M., Adams, P.D., Scheller, H.V., and Urbanowicz, B.R.

    Nature Plants, 2023

    ArticleDOI
  5. Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions

    Zhou, Z., Yeung, W., Gravel, N., Salcedo, M., Soleymani, S., Li, S. and Kannan, N.

    Bioinformatics, 2023

    ArticleDOI
  6. Evolutionary and cellular analysis of the ‘dark’pseudokinase PSKH2

    Byrne, D.P., Shrestha, S., Daly, L.A., Marensi, V., Ramakrishnan, K., Eyers, C.E., Kannan, N. and Eyers, P.A.

    Biochemical Journal, 2023

    ArticleDOI
  7. Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies

    Yeung, W., Zhou, Z., Mathew, L., Gravel, N., Taujale, R., O’Boyle, B., Salcedo, M., Venkat, A., Lanzilotta, W., Li, S. and Kannan, N.

    Briefings in Bioinformatics, 2023

    ArticleDOI
  8. Alignment-free estimation of sequence conservation for identifying functional sites using protein sequence embeddings

    Yeung, W., Zhou, Z., Li, S. and Kannan, N.

    Briefings in Bioinformatics, 2023

    ArticleDOI
  9. Protein kinase inhibitor selectivity “hinges” on evolution

    Shrestha, S., Bendzunas, G. and Kannan, N.

    Structure, 2022

    ArticleDOI
  10. Polymerization of the backbone of the pectic polysaccharide rhamnogalacturonan I

    Amos, R.A., Atmodjo, M.A., Huang, C., Gao, Z., Venkat, A., Taujale, R., Kannan, N., Moremen, K.W. and Mohnen, D.

    Nature Plants, 2022

    ArticleDOI
  11. Mutations in protein kinase Cγ promote spinocerebellar ataxia type 14 by impairing kinase autoinhibition

    Pilo, C.A., Baffi, T.R., Kornev, A.P., Kunkel, M.T., Malfavon, M., Chen, D.H., Rossitto, L.A., Chen, D.X., Huang, L.C., Longman, C. and Kannan, N.

    Science signaling, 2022

    ArticleDOI
  12. Modularity of the hydrophobic core and evolution of functional diversity in fold A glycosyltransferases.

    Venkat, A., Tehrani, D., Taujale, R., Yeung, W., Gravel, N., Moremen, K.W. and Kannan, N.

    The Journal of biological chemistry, 2022

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

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

    PloS one, 2022

    ArticleDOI
  14. Computational tools and resources for pseudokinase research.

    O'Boyle, B., Shrestha, S., Kochut, K., Eyers, P.A. and Kannan, N.

    Methods in Enzymology, 2022

    ArticleDOI
  15. Target 2035-update on the quest for a probe for every protein.

    Mueller, S., Ackloo, S., Al Chawaf, A., Al-Lazikani, B., Antolin, A., Baell, J. B., ... Kannan N, ... Arrowsmith, C. H.

    RSC Medicinal Chemistry, 2022

    ArticleDOI
  16. Mapping the glycosyltransferase fold landscape using interpretable deep learning.

    Taujale, R., Zhou, Z., Yeung, W., Moremen, K. W., Li, S., and Kannan N

    Nature Communications, 2021

    ArticleDOI
  17. Evolution of Functional Diversity in the Holozoan Tyrosine Kinome.

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

    Molecular Biology and Evolution, 2021

    ArticleDOI
  18. GTXplorer: A portal to navigate and visualize the evolutionary information encoded in fold A glycosyltransferases.

    Taujale, R., Soleymani, S., Priyadarshi, A., Venkat, A., Yeung, W., Kochut, K. J., and Kannan N.

    Glycobiology, 2021

    ArticleDOI
  19. Peters plus syndrome mutations affect the function and stability of human beta 1,3-glucosyltransferase.

    Zhang, A., Venkat, A., Taujale, R., Mull, J. L., Ito, A., Kannan N., and Haltiwanger, R. S.

    Journal of Biological Chemistry

    ArticleDOI
  20. mTORC2 controls the activity of PKC and Akt by phosphorylating a conserved TOR interaction motif.

    Baffi, T. R., Lorden, G., Wozniak, J. M., Feichtner, A., Yeung, W., Kornev, A. P., ... Kannan N., ... Newton, A. C.

    Science Signaling, 2021

    ArticleDOI
  21. Conformational interconversion of MLKL and disengagement from RIPK3 precede cell death by necroptosis.

    Garnish, S.E., Meng, Y., Koide, A., Sandow, J.J., Denbaum, E., Jacobsen, A.V., Yeung, W., Samson, A.L., Horne, C.R., ... Kannan, N. ... and Young, S.N.

    Nature Communications, 2021

    ArticleDOI
  22. Granulovirus PK-1 kinase activity relies on a side-to-side dimerization mode centered on the regulatory αC helix.

    Oliver, M.R., Horne, C.R., Shrestha, S., Keown, J.R., Liang, L.Y., Young, S.N., Sandow, J.J., Webb, A.I., Goldstone, D.C., Lucet, I.S. and Kannan, N.

    Nature Communications, 2021

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

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

    BMC Bioinformatics, 2021

    ArticleDOI
  24. A Chemical Probe for Dark Kinase STK17B Derives Its Potency and High Selectivity through a Unique P-Loop Conformation.

    Picado A, Chaikuad A, Wells CI, Shrestha S, Zuercher WJ, Pickett JE, Kwarcinski FE, Sinha P, de Silva CS, Zutshi R, Liu S, Kannan N, Knapp S, Drewry DH, Willson TM.

    J Med Chem, 2020

    ArticleDOI
  25. Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction.

    Huang LC, Yeung W, Wang Y, Cheng H, Venkat A, Li S, Ma P, Rasheed K, and Kannan N

    BMC Bioinformatics, 2020

    ArticleDOI
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