Author

M. Eugenia Dieterle

Albert Einstein College of MedicineORCID 0000-0002-5257-7253Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:mixed model· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Carlos Pablo ModenuttiiD· 1 shared Cierra Word· 1 shared Juan I. Blanco CapurroiD· 1 shared Leandro RaduskyiD· 1 shared Lohit Khera· 1 shared Marcelo Daniel GamarraiD· 1 shared Mariana PiuriiD· 1 shared Nahomi Guerra-Pilaquinga· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Carlos Pablo ModenuttiORCID

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2 papers

Recent·Most cited

Differential PCDH1 usage by Laguna Negra and Black Creek Canal hantaviruses

Nahomi Guerra-Pilaquinga, Cierra Word, Upendra Pradeep Lambe, Lohit Khera, Ridwan Arinola, Ramandeep Kaur, M. Eugenia Dieterle, Rohit K. Jangra

This study identifies PCDH1 as a receptor for Laguna Negra and Black Creek Canal hantaviruses, showing differential engagement and inhibitor responses compared to other hantaviruses.

bioRxiv · Oct 5, 2026 · PreprintMicrobiology

Molecular Dynamics and Water site bias docking method allows the identification of key amino acids in the Carbohydrate Recognition Domain of a viral protein

Marcelo Daniel Gamarra, M. Eugenia Dieterle, Juan I. Blanco Capurro, Leandro Radusky, Mariana Piuri, Carlos Pablo Modenutti

The paper introduces a computational method combining molecular docking and dynamics simulations to identify key amino acids in a viral protein's Carbohydrate Recognition Domain, validated by in vitro experiments.

bioRxiv · Jun 1, 2023 · PreprintBioinformatics