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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

Sequence-based prediction of the intrinsic solubility of peptides containing non-natural amino acids
M Oeller, RJD Kang, HL Bolt, AL Gomes Dos Santos, AL Weinmann, A Nikitidis, P Zlatoidsky, W Su, W Czechtizky, L De Maria, P Sormanni, M Vendruscolo
– Nature communications
(2023)
14,
7475
Multiplexed Digital Characterization of Misfolded Protein Oligomers via Solid-State Nanopores.
SE Sandler, RI Horne, S Rocchetti, R Novak, N-S Hsu, M Castellana Cruz, Z Faidon Brotzakis, RC Gregory, S Chia, GJL Bernardes, UF Keyser, M Vendruscolo
– Journal of the American Chemical Society
(2023)
145,
25776
Multi-omic prediction of therapeutic targets for human diseases associated with protein phase separation
M Vendruscolo, C Lim, A González Díaz, M Fuxreiter, F Pun, A Zhavoronkov
– Proceedings of the National Academy of Sciences of USA
(2023)
Multiomic prediction of therapeutic targets for human diseases associated with protein phase separation.
CM Lim, A González Díaz, M Fuxreiter, FW Pun, A Zhavoronkov, M Vendruscolo
– Proceedings of the National Academy of Sciences
(2023)
120,
e2300215120
Pharmacological inhibition of α-synuclein aggregation within liquid condensates
M Vendruscolo, S Dada, Z Toprakcioglu, M Hardenberg, M Cali, L Mrugalla, O Morris, A Roentgen, T Knowles
(2023)
The αC-β4 loop controls the allosteric cooperativity between nucleotide and substrate in the catalytic subunit of protein kinase A.
C Olivieri, Y Wang, C Walker, MV Subrahmanian, KN Ha, DA Bernlohr, J Gao, C Camilloni, M Vendruscolo, SS Taylor, G Veglia
– bioRxiv
(2023)
4,
2023.09.12.557419
Optimization of a small molecule inhibitor of secondary nucleation in α-synuclein aggregation.
R Staats, ZF Brotzakis, S Chia, RI Horne, M Vendruscolo
– Frontiers in molecular biosciences
(2023)
10,
1155753
Secondary Processes Dominate the Quiescent, Spontaneous Aggregation of α-Synuclein at Physiological pH with Sodium Salts
RI Horne, MA Metrick, W Man, DJ Rinauro, ZF Brotzakis, S Chia, G Meisl, M Vendruscolo
– ACS Chemical Neuroscience
(2023)
14,
3125
Multiplexed Digital Characterisation of Misfolded Protein Oligomers via Solid-State Nanopores
S Sandler, R Horne, S Rocchetti, R Novak, N-S Hsu, MC Cruz, F Brotzakis, R Gregory, S Chia, G Bernardes, U Keyser, M Vendruscolo
(2023)
Targeted protein editing with an antibody-based system
O Rimon, J Konc, VR Chowdhury, G Bernardes, M Vendruscolo
(2023)
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Research Interest Groups

Telephone number

01223 763873

Email address

mv245@cam.ac.uk