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

ANXA11 biomolecular condensates facilitate protein-lipid phase coupling on lysosomal membranes
J Nixon-Abell, FS Ruggeri, S Qamar, TW Herling, MA Czekalska, Y Shen, G Wang, C King, MS Fernandopulle, T Sneideris, JL Watson, VVS Pillai, W Meadows, JW Henderson, JE Chambers, JL Wagstaff, SH Williams, H Coyle, G Šneiderienė, Y Lu, S Zhang, SJ Marciniak, SMV Freund, E Derivery, ME Ward, M Vendruscolo, TPJ Knowles, P St George-Hyslop
Nature Communications
(2025)
16
The α-Synuclein Proteostasis Network and its Translational Applications in Parkinson’s disease
CM Lim, M Vendruscolo
(2025)
Design of Tau Aggregation Inhibitors Using Iterative Machine Learning and a Polymorph-Specific Brain-Seeded Fibril Amplification Assay
A Santambrogio, RI Horne, MA Metrick, ZF Brotzakis, D Rinauro, E Vourkou, K Papanikolopoulou, EMC Skoulakis, S Linse, B Caughey, M Vendruscolo
(2025)
Detection of protein oligomers with nanopores
RI Horne, SE Sandler, M Vendruscolo, UF Keyser
Nat Rev Chem
(2025)
9
PLUMED Tutorials: A collaborative, community-driven learning ecosystem.
GA Tribello, M Bonomi, G Bussi, C Camilloni, BI Armstrong, A Arsiccio, S Aureli, F Ballabio, M Bernetti, L Bonati, SGH Brookes, ZF Brotzakis, R Capelli, M Ceriotti, K-T Chan, P Cossio, S Dasetty, D Donadio, B Ensing, AL Ferguson, G Fraux, JD Gale, FL Gervasio, T Giorgino, NSM Herringer, GM Hocky, SE Hoff, M Invernizzi, O Languin-Cattoën, V Leone, V Limongelli, O Lopez-Acevedo, F Marinelli, P Febrer Martinez, M Masetti, S Mehdi, A Michaelides, MH Murtada, M Parrinello, PM Piaggi, A Pietropaolo, F Pietrucci, S Pipolo, C Pritchard, P Raiteri, S Raniolo, D Rapetti, V Rizzi, J Rydzewski, M Salvalaglio, C Schran, A Seal, A Shayesteh Zadeh, TFD Silva, V Spiwok, G Stirnemann, D Sucerquia, P Tiwary, O Valsson, M Vendruscolo, GA Voth, AD White, J Wu
The Journal of Chemical Physics
(2025)
162
Design of Protein Sequences with Precisely Tuned Kinetic Properties
ZF Brotzakis, M Vendruscolo, G Skretas
(2025)
AlphaFold prediction of structural ensembles of disordered proteins
ZF Brotzakis, S Zhang, MH Murtada, M Vendruscolo
Nat Commun
(2025)
16
Lipid-induced condensate formation from the Alzheimer’s Aβ peptide triggers amyloid aggregation
G Šneiderienė, A González Díaz, SD Adhikari, J Wei, T Michaels, T Šneideris, S Linse, M Vendruscolo, K Garai, TPJ Knowles
Proceedings of the National Academy of Sciences of the United States of America
(2025)
122
Sustainable and Surfactant-Free Synthesis of Negatively Charged Acrylamide Nanogels for Biomedical Applications
D Mazzali, G Rath, A Röntgen, V Roy Chowdhury, M Vendruscolo, M Resmini
Macromolecules
(2025)
58
Structural commonalities determined by physicochemical principles in the complex polymorphism of the amyloid state of proteins
S Errico, G Fani, S Ventura, J Schymkowitz, F Rousseau, A Trovato, M Vendruscolo, F Bemporad, F Chiti
Biochemical Journal
(2025)
482

Co-Director

Research Interest Groups

Telephone number

01223 763873

Email address