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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


Towards sequence-based principles for protein phase separation predictions.
M Vendruscolo, M Fuxreiter
– Current opinion in chemical biology
Formation of amyloid loops in brain tissues is controlled by the flexibility of protofibril chains.
A Miller, J Wei, S Meehan, CM Dobson, ME Welland, D Klenerman, M Vendruscolo, FS Ruggeri, TPJ Knowles
– Proceedings of the National Academy of Sciences of the United States of America
Characterization of Pairs of Toxic and Nontoxic Misfolded Protein Oligomers Elucidates the Structural Determinants of Oligomer Toxicity in Protein Misfolding Diseases
R Limbocker, N Cremades, R Cascella, PM Tessier, M Vendruscolo, F Chiti
– Accounts of Chemical Research
FuzPred: a web server for the sequence-based prediction of the context-dependent binding modes of proteins
A Hatos, JM Teixeira, S Barrera-Vilarmau, A Horvath, SCE Tosatto, M Vendruscolo, M Fuxreiter
– Nucleic acids research
Sequence-based prediction of the solubility of peptides containing non-natural amino acids
M Oeller, R Kang, H Bolt, AGD Santos, A Weinmann, A Nikitidis, P Zlatoidsky, W Su, W Czechtizky, L De Maria, P Sormanni, M Vendruscolo
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, Y Lu, S Zhang, SJ Marciniak, SMV Freund, E Derivery, ME Ward, M Vendruscolo, TPJ Knowles, P St George-Hyslop
– bioRxiv
Exploration and Exploitation Approaches Based on Generative Machine Learning to Identify Potent Small Molecule Inhibitors of α-Synuclein Secondary Nucleation.
RI Horne, MH Murtada, D Huo, ZF Brotzakis, RC Gregory, A Possenti, S Chia, M Vendruscolo
– Journal of Chemical Theory and Computation
AlphaFold Prediction of Structural Ensembles of Disordered Proteins
F Brotzakis, S Zhang, M Vendruscolo
Multidimensional Protein Solubility Optimization with an Ultrahigh-Throughput Microfluidic Platform.
NA Erkamp, M Oeller, T Sneideris, H Ausserwoger, A Levin, TJ Welsh, R Qi, D Qian, N Lorenzen, H Zhu, P Sormanni, M Vendruscolo, TPJ Knowles
– Anal Chem
Extracellular protein homeostasis in neurodegenerative diseases
MR Wilson, S Satapathy, M Vendruscolo
– Nat Rev Neurol
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01223 763873

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