Author

F. Kearns

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 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:mechanistic / dynamical model· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1

Frequent Co-Authors

M. Rosenfeld· 2 shared R. E. Amaro· 2 shared A. Anandkumar· 1 shared A. Bogetti· 1 shared A. Brace· 1 shared A. Christiansen· 1 shared A. Clyde· 1 shared A. Dommer· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBiophysics

M. Rosenfeld

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Breaking Down the Bottlebrush: Atomically-Detailed Structural Dynamics of Mucins

F. Kearns, M. Rosenfeld, R. E. Amaro

This study uses molecular dynamics simulations to explore the structural dynamics of mucins, revealing how O-glycosylation influences their bottlebrush-like conformation.

bioRxiv · Apr 9, 2024Biophysics

Transmissible SARS-CoV-2 variants with resistance to clinical protease inhibitors

S. A. Moghadasi, E. Heilmann, A. Khalil, C. Nnabuife, F. Kearns, C. Ye, S. N. Moraes, F. Costacurta, M. Esler, H. Aihara, D. von Laer, L. Martinez-Sobrido, T. Palzkill, R. E. Amaro, R. Harris

The paper identifies SARS-CoV-2 variants resistant to protease inhibitors nirmatrelvir and ensitrelvir, showing pre-existing resistance and potential for spread.

Science Advances · Mar 31, 2023Peer-reviewedMicrobiology

#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