Author

J. A. Riffell

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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Animal Behavior & Cognition· 1 Bioengineering· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:Arabidopsis· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Approach:statistical model· 1

Frequent Co-Authors

C. Ruiz· 2 shared A. B. Wiltschko· 1 shared A. Warburg· 1 shared B. K. Lee· 1 shared B. Sanchez-Lengeling· 1 shared D. M. Ando· 1 shared D. Perets· 1 shared D. Rajamanickam· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersEvolutionary Biology

C. Ruiz

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A conserved odorant receptor underpins borneol-mediated repellency in culicine mosquitoes

Y. Vainer, Y. Wang, R. M. Huff, D. Perets, E. Sar-Shalom, E. Yakir, M. Ghaninia, I. V. Coutinho-Abreu, C. Ruiz, D. Rajamanickam, A. Warburg, O. Akbari, P. A. Papathanos, R. Ignell, J. A. Riffell, , J. D. Bohbot

This study identifies a conserved odorant receptor involved in borneol-mediated repellency in culicine mosquitoes by mapping the neural pathway activated by borneol.

bioRxiv · Aug 1, 2023 · PreprintEvolutionary Biology

A deep learning and digital archaeology approach for mosquito repellent discovery

J. N. Wei, C. Ruiz, M. Vlot, B. Sanchez-Lengeling, B. K. Lee, L. Berning, M. W. Vos, R. W. Henderson, W. W. Qian, D. M. Ando, K. M. Groetsch, R. C. Gerkin, A. B. Wiltschko, J. A. Riffell, K. J. Dechering

The paper uses a deep learning approach to discover novel mosquito repellents by training a graph neural network on historical data and testing candidates in behavioral assays.

bioRxiv · Sep 1, 2022Bioengineering

Computational and experimental insights into the chemosensory navigation of Aedes aegypti mosquito larvae

E. K. Lutz, T. S. Grewal, J. A. Riffell

This study investigates the chemosensory navigation of Aedes aegypti mosquito larvae using experimental and computational methods, revealing microbial RNA as a foraging attractant and chemokinesis as their navigation strategy.

bioRxiv · Mar 24, 2019Animal Behavior & Cognition