Author

M. J. Niesen

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· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:proteomics· 2 Research Focus:drug response / drug discovery· 1 Research Focus:protein folding & dynamics· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

A. Venkatakrishnan· 1 shared B. J. Poelaert· 1 shared D. Padwardhan· 1 shared E. Silvert· 1 shared E.-G. Goel· 1 shared I. Y. Comba· 1 shared K. Murugadoss· 1 shared K. R. Brimacombe· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperImmunology

A. Venkatakrishnan

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintOct 24, 2023

A deep learning framework for predicting the neutralizing activity of COVID-19 therapeutics and vaccines against evolving SARS-CoV-2 variants

R. P. Matson, I. Y. Comba, E. Silvert…·V. Soundararajan

This paper develops a deep learning model to predict neutralizing activity of COVID-19 therapeutics and vaccines against SARS-CoV-2 variants, finding reduced activity against newer variants like EG.5 and XBB.1.16.

DOI 10.1101/2023.10.24.563847

virusproteomics

𝕏 PostBluesky

BiophysicsbioRxivOct 16, 2020

Force transduction creates long-ranged coupling in ribosomes stalled by arrest peptides

M. H. Zimmer, M. J. Niesen, T. F. Miller

This study investigates how force transduction through arrest peptides affects ribosome stalling and restart, revealing the role of distant amino acids in mediating force propagation and stalling efficiency.

DOI 10.1016/j.bpj.2021.03.041

proteomicsdeep learning

𝕏 PostBluesky