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Daniel Zuckerman

  • Public Information Officer, Dutchess BOCES
Township Valley
As seen in: Nature, PLOS, Gnet Radio, ACS Publications, Inquisitr, BioRxiv, Cell Press, Real Instituto Elcano, HudsonValley 360, Register Star and
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Articles

Design of facilitated dissociation enables timing of cytokine signalling - Nature

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By Adam Broerman, Yang Zhao, Mauriz A. Lichtenstein, Masato Ogishi, Danny D. Sahtoe, Alex Kang, Banumathi Sankaran, Asim K. Bera, Daniel Zuckerman, Stefan Stoll, K. Christopher Garcia, Florian Praetorius, Jacob Piehler
| Nature Verified
Abstract Protein design has focused on the design of ground states, ensuring that they are sufficiently low energy to be highly populated1. Designing the kinetics and dynamics of a system requires, in addition, the design of excited states that are traversed in transitions from one low-lying state to another2,3.
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Improving parameter inference by resolving Bayesian prior ambiguity via multi-dataset analysis: Application to isothermal titration calorimetry

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By Lisa C Otten, Douglas Walker, Elisar Barbar, Daniel Zuckerman
| BioRxiv
Abstract Isothermal titration calorimetry (ITC) is a powerful technique for probing biomolecular interactions. However, accurate determination of binding parameters—such as enthalpy and free energy—as well as associated uncertainties can be hindered by noise and concentration variability.
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Inferring single-cell dynamics of a molecular reporter from unlabeled live-cell light microscopy data analyzed with delay embedding

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By Jeremy Copperman, Laura M. Heiser, Daniel Zuckerman, Jalim Singh
| BioRxiv
Abstract Quantification of the temporal sequence of molecular behavior in live individual cells holds promise for improving causal and mechanistic models of cell biology. In recent years, different methods for inferring molecular labeling from microscopy data have been developed, especially in the context of "virtual pathology", but less effort has been directed to the context of single-cell dynamics and live-cell imaging.
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