Author

D. Zuckerman

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Assay:multiome· 1 Research Focus:protein folding & dynamics· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

A. Anandkumar· 1 shared A. Bogetti· 1 shared A. Brace· 1 shared A. Christiansen· 1 shared A. Clyde· 1 shared A. Dommer· 1 shared A. Gray· 1 shared A. Pratt· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiophysics

A. Anandkumar

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2 papers

Recent·Most cited

#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol

A. Dommer, L. Casalino, F. Kearns, M. Rosenfeld, N. Wauer, S.-H. Ahn, J. Russo, S. Oliveira, C. Morris, A. Bogetti, A. Trifan, A. Brace, T. Sztain, A. Clyde, H. Ma, , Muholland

This paper uses AI-enabled multiscale computational microscopy to study SARS-CoV-2 Delta variant in respiratory aerosols, revealing atomic-level insights into airborne transmission.

bioRxiv · Nov 12, 2021Biophysics

Extensive Evaluation of Weighted Ensemble Strategies for Calculating Rate Constants and Binding Affinities of Molecular Association/Dissociation Processes

A. Pratt, E. Suarez, D. Zuckerman, L. Chong

This study evaluates weighted ensemble strategies for calculating molecular association/dissociation rate constants and binding affinities, finding that heavy-weight simulations are most efficient when states are predefined.

bioRxiv · Jun 14, 2019 · PreprintBiophysics