Author

Ronald Ayoub

University of Missouri–Kansas CityORCID 0000-0003-2453-9214Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Yugyung LeeiD· 2 shared

Activity by Year

2019-2021 · peak 1/yr

2 papers

Recent·Most cited

BioinformaticsProteins Structure Function and BioinformaticsPeer-reviewedJan 18, 2021

Protein structure search to support the development of protein structure prediction methods

Ronald Ayoub, Yugyung Lee

The paper introduces RUPEE, a geometric protein structure search method that outperforms existing tools in identifying similar structures to predicted ones, using a novel residue descriptor encoding and alignment strategy.

13 citations

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedMar 15, 2019

RUPEE: A fast and accurate purely geometric proteinstructure search

Ronald Ayoub, Yugyung Lee

RUPEE provides a fast and accurate geometric protein structure search, outperforming existing methods in both speed and quality.

42 citations

protein structureexperimental assay

𝕏 PostBluesky