Author

M. Mateo

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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Immunology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Approach:biophysical modeling· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

A. Cimarelli· 2 shared F. Fiorini· 2 shared K. Noy· 2 shared A. Corbin· 1 shared A. H. Idris· 1 shared A. Legrand· 1 shared A. Schon· 1 shared B. G. Bonilla· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersMicrobiology

A. Cimarelli

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Stable Structures or poly(A)-binding protein loading protect cellular and viral RNAs against ISG20-mediated decay

C. Louvat, S. Deymier, X.-N. Nguyen, E. Labaronne, K. Noy, M. Cariou, A. Corbin, M. Mateo, E. P. Ricci, F. Fiorini, A. Cimarelli

The paper identifies PABP1 loading and terminal stem-loop structures as factors protecting RNAs from ISG20-mediated decay, with implications for both cellular and viral RNAs.

bioRxiv · Jun 5, 2023 · PreprintMicrobiology

The inflammatory and tumor suppressor SAMD9L acts through a Schlafen-like box to restrict HIV and inhibit cell translation in SAAD/ATXPC

A. Legrand, C. Dahoui, C. De La Myre Mory, C. Loyer, K. Noy, L. Guiguettaz, M. Pillon, M. Wcislo, L. Gueguen, A. Cimarelli, M. Mateo, F. Fiorini, E. Ricci, L. Etienne

This paper identifies SAMD9L as an HIV-1 restriction factor that inhibits viral and cellular translation through a Schlafen-like box, with implications for HIV/AIDS and genetic diseases.

bioRxiv · Jan 19, 2023Immunology

In Silico Improvement of Highly Protective Anti-Malarial Antibodies

M. Mateo, P. Tripathi, L. Da Silva Pereira, P. Kiyuka, T. Liu, B. Zhang, Y. Yang, B. G. Bonilla, M. Dillon, M. Lee, C.-H. Shen, A. Schon, S. Kratochvil, F. D. Batista, A. H. Idris, , R. Rawi

The paper improves an anti-malarial antibody using an in silico pipeline, resulting in a variant with higher binding affinity and better malaria protection.

bioRxiv · Apr 8, 2022 · PreprintImmunology