Author

E. Frezza

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biochemistry· 2 Biophysics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:protein structure prediction· 3 Approach:statistical model· 3 Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:drug response / drug discovery· 1 Approach:mechanistic / dynamical model· 1 Research Focus:protein folding & dynamics· 1 Assay:structural biology· 1

Frequent Co-Authors

A. Sabei· 2 shared J. Martin· 2 shared A. Pisliakov· 1 shared C. Hognon· 1 shared D. Berta· 1 shared E. Rosta· 1 shared G. Wells· 1 shared L. Alferkh· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBiochemistry

A. Sabei

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

The dynamics of protein-RNA interfaces using all-atom molecular dynamics simulations

A. Sabei, C. Hognon, J. Martin, E. Frezza

This study uses all-atom molecular dynamics simulations to analyze the dynamics of protein-RNA interfaces, revealing structural rearrangements and alternative residue-residue contacts.

bioRxiv · Nov 7, 2023Biochemistry

Internal Normal Mode Analysis applied to RNA flexibility and conformational changes

A. Sabei, T. G. Caldas Baia, R. Saffar, J. Martin, E. Frezza

This study applies internal normal mode analysis to RNA to predict flexibility and conformational changes, showing its effectiveness despite simplifications.

bioRxiv · Nov 30, 2022 · PreprintBiophysics

Biasing RNA coarse-grained folding simulations with Small--Angle X--ray Scattering (SAXS) data

L. Mazzanti, L. Alferkh, E. Frezza, S. Pasquali

The paper integrates SAXS data with coarse-grained RNA simulations to refine structural predictions from partially folded starting points.

bioRxiv · Mar 29, 2021Biophysics

Modelling the active SARS-CoV-2 helicase complex as a basis for structure-based inhibitor design

D. Berta, M. Badaoui, P. J. Buigues, S. A. Martino, A. Pisliakov, N. Elghobashi-Meinhardt, G. Wells, S. A. Harris, E. Frezza, E. Rosta

This study models the active SARS-CoV-2 helicase complex to provide structural insights for inhibitor design.

bioRxiv · Nov 3, 2020Biochemistry