Author

Adrien Guzzo

Inserm

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

Biophysics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:simulation· 1

Frequent Co-Authors

Adrien Nicolaı̈iD· 1 shared Ahmad Kaddour· 1 shared Alejandro TlaieiD· 1 shared Charalambos PapaxanthisiD· 1 shared Gia G. MaisuradzeiD· 1 shared Jérémie GaveauiD· 1 shared Khatuna Kachlishvili· 1 shared Patrice Delarue· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 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

1 shared paperBiophysics

Adrien Nicolaı̈ORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Examining the Atypical Structure Adopted by the 37-51 Segment of α-synuclein in the Early Stage of Aggregation

Adrien Guzzo, Patrice Delarue, Khatuna Kachlishvili, Adrien Nicolaı̈, Patrick Senet, Gia G. Maisuradze

This study uses molecular dynamics simulations to identify a previously unreported braid conformation in the 37-51 segment of α-synuclein that may influence aggregation.

bioRxiv · Oct 23, 2026 · PreprintBiophysics

Following the Robot's Lead: Predicting Human and Robot Movement from EEG in a Motor Learning HRI Task

Tanaya Chatterjee, Adrien Guzzo, Alejandro Tlaie, Ahmad Kaddour, Charalambos Papaxanthis, Jérémie Gaveau, Peter Ford Dominey

This study uses EEG and a humanoid robot to predict human and robot movement during motor learning, showing neural correlates of learning and decoding movement parameters.

iScience · Jun 18, 2025Peer-reviewedNeuroscience