Author

F. Major

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 Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Organism:human· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

O. Mailhot· 2 shared R. Najmanovich· 2 shared V. Frappier· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBiophysics

O. Mailhot

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2 papers

Recent·Most cited

The DynaSig-ML Python package: automated learning of biomolecular dynamics-function relationships

O. Mailhot, F. Major, R. Najmanovich

The paper introduces DynaSig-ML, a Python package that learns dynamics-function relationships in biomolecules using sequence variants and the Elastic Network Contact Model.

bioRxiv · Jul 6, 2022 · PreprintBiophysics

Sequence-sensitive elastic network captures dynamical features necessary for miR-125a maturation

O. Mailhot, V. Frappier, F. Major, R. Najmanovich

The paper introduces ENCoM, a sequence-sensitive NMA model for RNA dynamics, showing it captures functional dynamics beyond sequence in miR-125a maturation.

bioRxiv · Jun 9, 2022Biophysics