Author

E. J. Navarro

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· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:protein structure· 1 Approach:statistical model· 1 Organism:yeast· 1

Frequent Co-Authors

J. C. Fung· 1 shared N. Fong· 1 shared S. Bianco· 1 shared S. Capponi· 1 shared S. M. Douglas· 1 shared S. Wang· 1 shared T. Aksel· 1 shared W. F. Marshall· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 7 mutual co-author links

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1 shared paperBiophysics

J. C. Fung

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Author profile →

3 papers

Recent·Most cited

Design principles for accurate folding of DNA origami

T. Aksel, E. J. Navarro, N. Fong, S. M. Douglas

The paper establishes design principles for accurate DNA origami folding using thermodynamic modeling and graph-based routing, validated through experimental analysis.

bioRxiv · Mar 18, 2024Biophysics

Modeling Cell Biological Features of Meiotic Chromosome Pairing

E. J. Navarro, W. F. Marshall, J. C. Fung

This paper uses a computational model to study how meiotic chromosome pairing occurs, finding that distributed pairing sites and telomere motion enhance pairing while interlocks resolve through telomere proximity and cooperativity.

bioRxiv · Jan 6, 2022 · PreprintBiophysics

AI-driven prediction of SARS-CoV-2 variant binding trends from atomistic simulations

S. Capponi, S. Wang, E. J. Navarro, S. Bianco

The paper presents an AI method to predict SARS-CoV-2 variant binding affinity trends using atomistic simulations with high accuracy and reduced simulation time.

bioRxiv · Mar 7, 2021Biophysics