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David Whyte

Researcher at Pfizer

Publications -  19
Citations -  8324

David Whyte is an academic researcher from Pfizer. The author has contributed to research in topics: Kinase & Nucleic acid. The author has an hindex of 9, co-authored 19 publications receiving 7797 citations.

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Journal ArticleDOI

The Protein Kinase Complement of the Human Genome

TL;DR: The protein kinase complement of the human genome is catalogued using public and proprietary genomic, complementary DNA, and expressed sequence tag sequences to provide a starting point for comprehensive analysis of protein phosphorylation in normal and disease states and a detailed view of the current state of human genome analysis through a focus on one large gene family.
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The protein kinases of Caenorhabditis elegans: A model for signal transduction in multicellular organisms

TL;DR: The richness of phosphorylation-dependent signaling pathways in worms is further supported with the identification of 185 protein phosphatases and 128 phosphoprotein-binding domains in the worm genome.
Journal ArticleDOI

Requirement for PAK4 in the anchorage-independent growth of human cancer cell lines.

TL;DR: It is demonstrated that PAK4 is frequently overexpressed in human tumor cell lines of various tissue origins and identified serine (Ser-474) as the likely autophosphorylation site in the kinase domain of PAK 4 in vivo, and suggested thatPAK4 activity is required for Ras-driven, anchorage-independent growth.
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The STE20 kinase HGK is broadly expressed in human tumor cells and can modulate cellular transformation, invasion, and adhesion

TL;DR: An important role for HGK is suggested in cell transformation and invasiveness by an inhibition of H-RasV12-induced focus formation and expression of inactive, dominant-negative mutants of HGK in both fibroblast and epithelial cell lines.
Patent

Novel human protein kinases and protein kinase-like enzymes

TL;DR: In this paper, the authors used a bioinformatics strategy to identify mammalian members of the PTK and STK and their protein structure predicted using a protein-protein interaction (PPI) model.