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Kevin N. Dalby

Researcher at University of Texas at Austin

Publications -  175
Citations -  10323

Kevin N. Dalby is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Kinase & Phosphorylation. The author has an hindex of 37, co-authored 150 publications receiving 9227 citations. Previous affiliations of Kevin N. Dalby include Brandeis University & Norwegian School of Economics.

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Journal ArticleDOI

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Daniel J. Klionsky, +2522 more
- 21 Jan 2016 - 
TL;DR: In this paper, the authors present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macro-autophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
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Targeting the prodeath and prosurvival functions of autophagy as novel therapeutic strategies in cancer.

TL;DR: The data suggest that, depending on the cellular features, either the induction or the inhibition of autophagy can provide therapeutic benefits to patients and that the design and synthesis of the first-generation modulators of Autophagy may provide the tools for proof of concept experiments and the impetus for translational studies that may ultimately lead to new therapeutic strategies in cancer.
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Identification of Regulatory Phosphorylation Sites in Mitogen-activated Protein Kinase (MAPK)-activated Protein Kinase-1a/p90 rsk That Are Inducible by MAPK

TL;DR: Ser222, Ser364, and Ser381 are situated in analogous positions to phosphorylation sites inprotein kinase B, protein kinase C, and p70S6K, suggesting a common mechanism of activation for these growth factor-stimulated protein kinases.
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The cyanobacterial toxin microcystin binds covalently to cysteine-273 on protein phosphatase 1.

TL;DR: It is demonstrated that Cys273 of PP1 binds covalently to the methyl‐dehydroalanine (Mdha) residue of the toxin, which explains the failure to detect this toxin post‐mortem in suspected cases of MC poisoning.
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Virtual screening using molecular simulations

TL;DR: The preliminary study suggests that implicit‐solvent based alchemical perturbation, which offers explicit sampling of configuration entropy, can be a viable approach to significantly improve the prediction of binding free energy.