Professor of Biophysics


Our research

In the last 15 years our research has been focused on the development of methods of characterising the structure, dynamics and interactions of proteins in previously inaccessible states. These methods are based on the use of experimental data, in particular from nuclear magnetic resonance spectroscopy, as structural restraints in molecular dynamics simulations. Through this approach it is possible to obtain information about a variety of protein conformations, as for example those populated during the folding process, and about protein interactions in complex environments, including those generating aggregate species that are associated with neurodegenerative disorders such as Alzheimer's and Parkinson's diseases.

Application to neurodegenerative diseases

More recently, these studies have led us to investigate the physico-chemical principles of proteins homeostasis and their application to the development of therapeutic strategies against neurodegenerative diseases. Starting from the observation that proteins are expressed in the cell at levels close to their solubility limits, we are developing approaches to prevent or delay misfolding disorders based on the enhancement of our quality control mechanisms against protein aggregation.

Watch Professor Vendruscolo discuss his research

Take a tour of the Una Finlay Laboratory in the Centre for Misfolding Diseases

Publications

Enhanced surface nanoanalytics of transient biomolecular processes
AM Miller, S Chia, Z Toprakcioglo, T Hakala, R Schmid, Y Feng, T Kartanas, A Kamada, M Vendruscolo, FS Ruggeri, T Knowles
Sci Adv
(2023)
9
RNA Granules Hitchhike on Lysosomes for Long-Distance Transport, Using Annexin A11 as a Molecular Tether
Y Liao, M Fernandopulle, G Wang, H Choi, L Hao, C Drerup, R Patel, S Qamar, J Nixon-Abell, Y Shen, W Meadows, M Vendruscolo, T Knowles, N Matthew, M Czekalska, G Musteikyte, M Gachechiladze, C Stephens, H Pasolli, L Forrest, P St George-Hyslop, J Lippincott-Schwartz, ME Ward
MOLECULAR BIOLOGY OF THE CELL
(2023)
34
Development of machine learning models for prediction of antibody non-specificity
L Sakhnini, N Lorenzen, P Sormanni, M Vendruscolo, D Granata
BIOPHYSICAL JOURNAL
(2023)
122
Elucidating the effect of proteoforms on the pathogenic aggregation of α-synuclein
A Rontgen, Z Toprakcioglu, S Dada, M Vendruscolo
FEBS OPEN BIO
(2023)
13
Probing the effects of N-terminal acetylation on α-synuclein structure, aggregation and cytotoxicity.
R Bell, M Vendruscolo, JR Kumita
Methods in Enzymology
(2023)
686
A Kinetic Map of the Influence of Biomimetic Lipid Model Membranes on Aβ42 Aggregation.
KN Baumann, G ŠneiderienÄ—, M Sanguanini, M Schneider, O Rimon, A González Díaz, H Greer, D Thacker, S Linse, TPJ Knowles, M Vendruscolo
ACS Chemical Neuroscience
(2022)
14
EGCG inactivates a pore-forming toxin by promoting its oligomerization and decreasing its solvent-exposed hydrophobicity
JM Gabriel, T Tan, DJ Rinauro, CM Hsu, CJ Buettner, M Gilmer, A Kaur, TL McKenzie, M Park, S Cohen, S Errico, AK Wright, F Chiti, M Vendruscolo, R Limbocker
Chem Biol Interact
(2022)
371
Structure-Based Discovery of Small-Molecule Inhibitors of the Autocatalytic Proliferation of α‑Synuclein Aggregates
S Chia, Z Faidon Brotzakis, RI Horne, A Possenti, B Mannini, R Cataldi, M Nowinska, R Staats, S Linse, TPJ Knowles, J Habchi, M Vendruscolo
Molecular Pharmaceutics
(2022)
20
Fragment-based computational design of antibodies targeting structured epitopes.
M Aguilar Rangel, A Bedwell, E Costanzi, RJ Taylor, R Russo, GJL Bernardes, S Ricagno, J Frydman, M Vendruscolo, P Sormanni
Science advances
(2022)
8
Sequence-based Prediction of the Cellular Toxicity Associated with Amyloid Aggregation within Protein Condensates.
A Horvath, M Vendruscolo, M Fuxreiter
Biochemistry
(2022)
61

Co-Director

Research Interest Groups

Telephone number

01223 763873

Email address