Author

Luciana Ribeiro Dinis

Johns Hopkins UniversityORCID 0000-0002-4442-3019Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:mouse· 1 Organism:plant (other)· 1

Frequent Co-Authors

Ariel Lubonja· 1 shared Bowen LiiD· 1 shared Elizabeth C. LeeiD· 1 shared Hang YuiD· 1 shared Hans B. LiuiD· 1 shared Nattawat ChaiyawongiD· 1 shared Opeoluwa Adewale-Fasoro· 1 shared Prakash SrinivasaniD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMicrobiology

Ariel Lubonja

Mutual co-authors in cluster

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintDec 21, 2024

tRNA modifying enzymes MnmE and MnmG are essential for Plasmodium falciparum apicoplast maintenance

Rubayet Elahi, Luciana Ribeiro Dinis, Russell Swift…·Sean T. Prigge

This study identifies MnmE and MnmG as essential enzymes for xm5s2U modification in Plasmodium falciparum apicoplast tRNAs, revealing a minimal biosynthetic pathway critical for apicoplast maintenance.

2 citations

plant (other)experimental assay

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MicrobiologyAmerican Journal of Tropical Medicine and HygienePeer-reviewedSep 10, 2024

Application of machine learning in a rodent malaria model for rapid, accurate, and consistent parasite counts

Sean A. Yanik, Hang Yu, Nattawat Chaiyawong…·Prakash Srinivasan

The paper develops a machine learning tool for automated parasite counting in rodent malaria models, achieving high accuracy and consistency across labs.

2 citations

mouseimaging

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