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Centre for Misfolding Diseases

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

Estimation of Ligand Binding Free Energy Using Multi-eGO
B Stegani, E Scalone, FB Toplek, T Löhr, S Gianni, M Vendruscolo, R Capelli, C Camilloni
– J Chem Inf Model
(2024)
In vivo hyperphosphorylation of tau is associated with synaptic loss and behavioral abnormalities in the absence of tau seeds
N Watamura, MS Foiani, S Bez, M Bourdenx, A Santambrogio, C Frodsham, E Camporesi, G Brinkmalm, H Zetterberg, S Patel, N Kamano, M Takahashi, J Rueda-Carrasco, L Katsouri, S Fowler, E Turkes, S Hashimoto, H Sasaguri, T Saito, AS Islam, S Benner, T Endo, K Kobayashi, C Ishida, M Vendruscolo, M Yamada, KE Duff, TC Saido
– Nature Neuroscience
(2024)
1
Proteostasis Signatures in Human Diseases
CM Lim, M Vendruscolo
(2024)
Estimation of ligand binding free energy using multi-eGO.
B Stegani, E Scalone, F Bacic Toplek, T Lohr, S Gianni, M Vendruscolo, R Capelli, C Camilloni
(2024)
Language Models for Molecular Dynamics
MH Murtada, ZF Brotzakis, M Vendruscolo
(2024)
A scale-invariant log-normal droplet size distribution below the critical concentration for protein phase separation.
T Amico, ST Dada, A Lazzari, M Brezinova, A Trovato, M Vendruscolo, M Fuxreiter, A Maritan
– Elife
(2024)
13,
RP94214
A scale-invariant log-normal droplet size distribution below the critical concentration for protein phase separation
T Amico, ST Dada, A Lazzari, M Brezinova, A Trovato, M Vendruscolo, M Fuxreiter, A Maritan
– eLife
(2024)
13,
Organization of the Proteostasis Network of Membraneless Organelles
C Lim, Y Bian, A González Díaz, F Pun, A Zhavoronkov, R Morimoto, M Vendruscolo
(2024)
AlphaFold-Metainference: Prediction of Structural Ensembles of Disordered Proteins
F Brotzakis, S Zhang, MH Murtada, M Vendruscolo
(2024)
Global kinetic model of lipid-inducedα-synuclein aggregation and its inhibition by small molecules
A Stevenson, R Staats, A Dear, D Voderholzer, G Meisl, R Guido, C Galvagnion, A Buell, TPJ Knowles, M Vendruscolo, TCT Michaels
(2024)
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Co-Director

Research Interest Groups

Telephone number

01223 763873

Email address