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Yusuf Hamied Department of Chemistry

 

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

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,
463A
A Kinetic Map of the Influence of Biomimetic Lipid Model Membranes on Aβ42 Aggregation.
KN Baumann, G Šneiderienė, M Sanguanini, M Schneider, O Rimon, A González Díaz, H Greer, D Thacker, S Linse, TPJ Knowles, M Vendruscolo
– ACS Chemical Neuroscience
(2022)
14,
323
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
– Chemico-Biological Interactions
(2022)
371,
110307
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,
183
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
– Sci Adv
(2022)
8,
eabp9540
Sequence-based Prediction of the Cellular Toxicity Associated with Amyloid Aggregation within Protein Condensates
A Horvath, M Vendruscolo, M Fuxreiter
– Biochemistry
(2022)
61,
2461
Multi-dimensional protein solubility optimization with an ultra-high-throughput microfluidic platform
N Erkamp, M Oeller, T Sneideris, H Ausserwӧger, A Levin, T Welsh, R Qi, D Qian, H Zhu, P Sormanni, M Vendruscolo, TPJ Knowles
(2022)
Characterization of full-length p53 aggregates and their kinetics of formation
L Julian, JC Sang, Y Wu, G Meisl, JH Brelstaff, A Miller, MR Cheetham, M Vendruscolo, TPJ Knowles, FS Ruggeri, C Bryant, S Ros, KM Brindle, D Klenerman
– Biophysical journal
(2022)
121,
4280
Protein condensation diseases: therapeutic opportunities.
M Vendruscolo, M Fuxreiter
– Nat Commun
(2022)
13,
5550
An antibody scanning method for the detection of α-synuclein oligomers in the serum of Parkinson's disease patients.
K Kulenkampff, D Emin, R Staats, YP Zhang, L Sakhnini, A Kouli, O Rimon, E Lobanova, CH Williams-Gray, FA Aprile, P Sormanni, D Klenerman, M Vendruscolo
– Chem Sci
(2022)
13,
13815
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Research Interest Groups

Telephone number

01223 763873

Email address

mv245@cam.ac.uk