Daniel Zuckerman

Professor

Oregon Health & Science University

United States

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Daniel Zuckerman is a Professor at Oregon Health & Science University in the United States. His research areas encompass Bayesian mechanistic inference, statistical mechanics, and the dynamics of molecular machines. Recent articles explore topics such as ligand-mediated structural dynamics, cooperative multisite binding, and the application of Markov State Models in protein-folding mechanisms.

Articles (12)

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2024

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2024

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2023

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2023

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2023

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2022

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2021

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2021

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2020

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2020

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2020

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2020

Collaborators (6)

Steve Reichow

Associate Professor

Oregon Health & Science University

UNITED STATES

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Paola Bisignano

Research Associate Professor

Vanderbilt University School of Medicine

UNITED STATES

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Young Hwan Chang

Associate Professor

Oregon Health & Science University

UNITED STATES

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Robert Webber

UNITED STATES

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Camden Driggers

Research Assistant Professor

Oregon Health & Science University

UNITED STATES

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Gideon Simpson

Associate Professor

Drexel University

UNITED STATES

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Daniel Zuckerman

Research Interests

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Articles (12)

Bayesian Mechanistic Inference, Statistical Mechanics, and a New Era for Monte Carlo

From Average Transient Transporter Currents to Microscopic Mechanism─A Bayesian Analysis

Morphodynamical cell state description via live-cell imaging trajectory embedding

Quantifying cooperative multisite binding in the hub protein LC8 through Bayesian inference

Weighted ensemble: Recent mathematical developments

Ligand-mediated Structural Dynamics of a Mammalian Pancreatic KATP Channel

Vascular K ATP channel structural dynamics reveal regulatory mechanism by Mg-nucleotides

What Markov State Models Can and Cannot Do: Correlation versus Path-Based Observables in Protein-Folding Models

Connexin-46/50 in a dynamic lipid environment resolved by CryoEM at 1.9 Å

A systems-biology approach to molecular machines: Exploration of alternative transporter mechanisms

Key biology you should have learned in physics class: Using ideal-gas mixtures to understand biomolecular machines

EmrE reminds us to expect the unexpected in membrane transport

Collaborators (6)

Steve Reichow

Paola Bisignano

Young Hwan Chang

Robert Webber

Camden Driggers

Gideon Simpson

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