Daniel Scott

Global Data Fitting Enables Kinetic Dissection of Cullin-RING Ligase-Catalyzed Ubiquitylation: From Substrate Priming to Poly-ubiquitin Chain Formation

This study uses pre-steady state kinetics and global data fitting to analyze CRL-dependent ubiquitylation, revealing kinetic parameters and catalytic efficiencies across different CRL systems and substrate contexts.

Noise correlations for faster and more robust learning.

This paper shows that positive noise correlations among similarly tuned neurons can improve the speed and robustness of readout learning in neural networks.