Author

N. Mollentze

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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Ecology· 3 Microbiology· 2

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 5 Approach:statistical model· 4 Organism:human· 2 Organism:multiple species· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:comparative / phylogenetic analysis· 1 Assay:DNA methylation· 1

Frequent Co-Authors

D. G. Streicker· 2 shared D. Streicker· 2 shared R. Biek· 2 shared A. da Silva Filipe· 1 shared A. Wickenhagen· 1 shared C. E. Brook· 1 shared D. Keen· 1 shared D. L. Robertson· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersMicrobiology

D. G. Streicker

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Variation in the ACE2 receptor has limited utility for SARS-CoV-2 host prediction

N. Mollentze, D. Keen, U. Munkhbayar, R. Biek, D. G. Streicker

The paper shows that ACE2 receptor variation is not a reliable predictor of SARS-CoV-2 host susceptibility due to its strong correlation with host phylogeny rather than viral binding mechanisms.

bioRxiv · May 16, 2022Microbiology

The Interferon Resistance of Transmitted HIV-1 is a Consequence of Enhanced Replicative Fitness

E. Sugrue, A. Wickenhagen, N. Mollentze, M. A. Aziz, V. B. Sreenu, S. Truxa, L. Tong, A. da Silva Filipe, D. L. Robertson, J. Hughes, S. J. Rihn, S. J. Wilson

The paper identifies that transmitted HIV-1's interferon resistance stems from enhanced replicative fitness rather than specific IFN resistance.

bioRxiv · Dec 18, 2021Microbiology

Bats host the most virulent--but not the most dangerous--zoonotic viruses

S. Guth, N. Mollentze, K. Renault, D. Streicker, E. Visher, M. Boots, C. E. Brook

The paper analyzes zoonotic virus traits to show bats host the most virulent viruses but not the most dangerous, as human death burden depends on epidemiological dynamics, not reservoir traits.

bioRxiv · Jul 25, 2021Ecology

Identifying and prioritizing potential human-infecting viruses from their genome sequences

N. Mollentze, S. Babayan, D. Streicker

This paper develops machine learning models to predict human-infecting viruses from genome sequences, identifying high-risk candidates and demonstrating applicability to SARS-CoV-2.

bioRxiv · Nov 12, 2020Ecology

Dynamics of viral index infections in novel hosts

N. Mollentze, D. G. Streicker, P. R. Murcia, K. Hampson, R. Biek

This study analyzes 514 experimental rabies virus inoculations across species to identify factors influencing infection outcomes and transmission potential in novel hosts.

bioRxiv · Apr 9, 2020Ecology