Author

J. A. Hawkins

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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Evolutionary Biology· 2 Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:biophysical modeling· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:plant (other)· 1 Research Focus:protein folding & dynamics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

I. J. Finkelstein· 2 shared J. B. Thompson· 2 shared B. Eslami-Mossallam· 1 shared C. Jung· 1 shared C. v. d. Smagt· 1 shared D. C. Wylie· 1 shared F. M. Jordan· 1 shared H.-C. Kuo· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioengineering

I. J. Finkelstein

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Ethnopharmacological disease classification and bioprospecting: the diversity of plant drugs used to treat cancer

J. B. Thompson, J. A. Hawkins

The paper examines traditional plant use for cancer treatment, finding that certain plant lineages are repeatedly targeted but may not be effective against cancer due to their use for broader symptoms.

bioRxiv · May 22, 2023 · PreprintEvolutionary Biology

Phylogenetic reconstructions of Polynesian medicinal plant use reveal adaptive strategies to meet health needs

J. B. Thompson, F. M. Jordan, J. A. Hawkins

The paper uses phylogenetic methods to analyze Polynesian medicinal plant use, showing adaptation to new environments and cultural innovation in plant-based healthcare.

bioRxiv · Oct 21, 2022 · PreprintEvolutionary Biology

Massively Parallel Selection of NanoCluster Beacons

Y.-A. Kuo, C. Jung, Y.-A. Chen, H.-C. Kuo, O. S. Zhao, T. D. Nguyen, J. R. Rybarski, S. Hong, Y.-I. Chen, D. C. Wylie, J. A. Hawkins, J. N. Walker, S. W. Shields, J. S. Brodbelt, J. T. Petty, , H.-C. Yeh

The paper develops a high-throughput method to screen and design multicolor NanoCluster Beacons using NGS chips and machine learning.

bioRxiv · Dec 4, 2021Bioengineering

A mechanistic model improves off-target predictions and reveals the physical basis of SpCas9 fidelity

B. Eslami-Mossallam, M. Klein, C. v. d. Smagt, K. v. d. Sanden, S. K. Jones, J. A. Hawkins, I. J. Finkelstein, M. Depken

This paper develops a mechanistic model to predict SpCas9 off-target activity and explains its structural basis for fidelity.

bioRxiv · May 21, 2020 · PreprintBiophysics