Author

M. Meijers

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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Biophysics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:host-pathogen & immune response· 2 Organism:virus· 2 Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

D. Ruchnewitz· 2 shared M. Lässig· 2 shared F. Klein· 1 shared H. Gruell· 1 shared J. Eberhardt· 1 shared K. Vanshylla· 1 shared M. Karmakar· 1 shared M. Laessig· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBiophysics

D. Ruchnewitz

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Author profile →

3 papers

Recent·Most cited

Concepts and methods for predicting viral evolution

M. Meijers, D. Ruchnewitz, J. Eberhardt, M. Karmakar, M. Łuksza, M. Lässig

This paper develops methods to predict viral evolution using integrated data on sequences, epidemiology, antigenicity, and phenotypes, providing vaccine strain selection insights.

bioRxiv · Mar 19, 2024 · PreprintBiophysics

Vaccination shapes evolutionary trajectories of SARS-CoV-2

M. Meijers, D. Ruchnewitz, M. Luksza, M. Lässig

This study shows vaccination influences SARS-CoV-2 antigenic evolution by analyzing sequence data, epidemiology, and neutralization assays to model evolutionary dynamics.

bioRxiv · Jul 19, 2022 · PreprintBiophysics

Predicting in vivo escape dynamics of HIV-1 from a broadly neutralizing antibody

M. Meijers, K. Vanshylla, H. Gruell, F. Klein, M. Laessig

The paper models HIV-1 escape dynamics from broadly neutralizing antibodies using clinical trial data, identifying fitness factors that predict viral reproduction rates and resistance tradeoffs.

bioRxiv · Aug 6, 2020Biophysics