Author

V. Frappier

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 Organism:human· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1 Assay:structural biology· 1

Frequent Co-Authors

A. E. Keating· 1 shared F. Major· 1 shared G. Grigoryan· 1 shared J. M. Jenson· 1 shared J. Zhou· 1 shared O. Mailhot· 1 shared R. Najmanovich· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperBiophysics

A. E. Keating

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2 papers

Recent·Most cited

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

Tertiary structural motif sequence statistics enable facile prediction and design of peptides that bind anti-apoptotic Bfl-1 and Mcl-1

V. Frappier, J. M. Jenson, J. Zhou, G. Grigoryan, A. E. Keating

This paper introduces a method using tertiary structural motifs to predict and design peptides that bind anti-apoptotic proteins Bfl-1 and Mcl-1 with high accuracy and efficiency.

bioRxiv · Oct 25, 2018Biophysics