Author

N. Ayhan

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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Microbiology· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Organism:mouse· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Fontaine· 2 shared X. de Lamballerie· 2 shared A. C. Myall· 1 shared A. Chanthongthip· 1 shared A. Dubot-Peres· 1 shared A. Kumar· 1 shared A.-L. Banuls· 1 shared B. Gangadharan· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersMicrobiology

A. Fontaine

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genomic surveillance reveals that the dengue 2 virus lineage responsible for the 2023-2024 epidemic in the French Caribbean Islands is resistant to Mosnodenvir

H. S. Bouzidi, S. Sen, G. Piorkowski, L. Pezzi, N. Ayhan, A. Fontaine, T. Canivez, M. Geulen, R. Amaral, G. Grard, G. A. Durand, X. de Lamballerie, F. Touret, R. Klitting

The paper identifies a mutation in dengue virus genomes from the 2023-2024 French Caribbean epidemic that confers resistance to the anti-dengue compound mosnodenvir.

bioRxiv · Apr 10, 2024 · PreprintMicrobiology

Sand flies and Toscana virus: intra-vector infection dynamics and impact on Phlebotomus perniciosus life-history traits

L. Laroche, A.-L. Banuls, R. Charrel, A. Fontaine, N. Ayhan, J. Prudhomme

This study investigates TOSV infection dynamics in Phlebotomus perniciosus sand flies and finds it affects their life history traits, including hatching time and extrinsic incubation period.

bioRxiv · Feb 25, 2024 · PreprintMicrobiology

Deep proteomics network and machine learning analysis of human cerebrospinal fluid in Japanese encephalitis virus infection

T. Bharucha, B. Gangadharan, A. Kumar, A. C. Myall, N. Ayhan, B. Pastorino, A. Chanthongthip, M. Vongsouvath, M. Mayxay, O. Sengvilaipaseuth, S. Rattanavong, D. P. O'Brien, I. Vendrell, R. Fischer, B. Kessler, , SEAe collaborators

This study identifies a ten-protein diagnostic signature for Japanese encephalitis virus infection in cerebrospinal fluid with >99% accuracy using proteomics and machine learning.

bioRxiv · Jun 19, 2022Microbiology