Author

M. Theillard

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:protein folding & dynamics· 1 Assay:structural biology· 1 Organism:virus· 1

Frequent Co-Authors

A. Gopinath· 1 shared A. Kucherova· 1 shared C. Fylling· 1 shared J. Tamayo· 1 shared S. Strango· 1 shared S. Sukenik· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperBiophysics

A. Gopinath

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2 papers

Recent·Most cited

Multi-population dissolution in confined active fluids

C. Fylling, J. Tamayo, A. Gopinath, M. Theillard

The paper develops a computational method to model multi-population active fluids under confinement, showing hydrodynamic effects dominate dissolution dynamics in bacterial suspensions.

bioRxiv · Sep 7, 2023Biophysics

Modeling the Opening SARS-CoV-2 Spike: an Investigation of its Dynamic Electro-Geometric Properties

A. Kucherova, S. Strango, S. Sukenik, M. Theillard

This study computes electrostatic properties of the SARS-CoV-2 spike protein's opening using exascale simulations and continuum modeling to support pharmacological research.

bioRxiv · Oct 29, 2020Biophysics