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Yusuf Hamied Department of Chemistry

 

Professor Michele Vendruscolo

Portrait of mv245

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

The N-terminal acetylation of α-synuclein slows down its aggregation process and alters the morphology of the resulting aggregates
R Bell, RJ Thrush, M Castellana-Cruz, M Oeller, R Staats, A Nene, P Flagmeier, CK Xu, S Satapathy, C Galvagnion, MR Wilson, CM Dobson, JR Kumita, M Vendruscolo
– Biochemistry
(2022)
(DOI: 10.1021/acs.biochem.2c00104)
ATP-competitive inhibitors modulate the substrate binding cooperativity of a kinase by altering its conformational entropy.
C Olivieri, GC Li, Y Wang, M V S, C Walker, J Kim, C Camilloni, A De Simone, M Vendruscolo, DA Bernlohr, SS Taylor, G Veglia
– Science Advances
(2022)
8,
eabo0696
(DOI: 10.1126/sciadv.abo0696)
Adsorption free energy predicts amyloid protein nucleation rates.
Z Toprakcioglu, A Kamada, TCT Michaels, M Xie, J Krausser, J Wei, A Saric, M Vendruscolo, TPJ Knowles
– Proceedings of the National Academy of Sciences of the United States of America
(2022)
119,
e2109718119
(DOI: 10.1073/pnas.2109718119)
Are casein micelles extracellular condensates formed by liquid‐liquid phase separation?
A Horvath, M Fuxreiter, M Vendruscolo, C Holt, JA Carver
– FEBS Letters
(2022)
(DOI: 10.1002/1873-3468.14449)
Correlation between the binding affinity and the conformational entropy of nanobody SARS-CoV-2 spike protein complexes.
H Mikolajek, M Weckener, ZF Brotzakis, J Huo, EV Dalietou, A Le Bas, P Sormanni, PJ Harrison, PN Ward, S Truong, L Moynie, DK Clare, M Dumoux, J Dormon, C Norman, N Hussain, V Vogirala, RJ Owens, M Vendruscolo, JH Naismith
– Proc Natl Acad Sci U S A
(2022)
119,
e2205412119
(DOI: 10.1073/pnas.2205412119)
π‑Clamp-Mediated Homo- and Heterodimerization of Single-Domain Antibodies via Site-Specific Homobifunctional Conjugation
RJ Taylor, M Aguilar Rangel, MB Geeson, P Sormanni, M Vendruscolo, GJL Bernardes
– Journal of the American Chemical Society
(2022)
144,
13026
(DOI: 10.1021/jacs.2c04747)
A Small Molecule Stabilizes the Disordered Native State of the Alzheimer's Aβ Peptide
T Löhr, K Kohlhoff, GT Heller, C Camilloni, M Vendruscolo
– ACS Chemical Neuroscience
(2022)
13,
1738
(DOI: 10.1021/acschemneuro.2c00116)
Determination of the structure and dynamics of the fuzzy coat of an amyloid fibril of IAPP using cryo-electron microscopy
F Brotzakis, T Löhr, S Truong, S Hoff, M Bonomi, M Vendruscolo
(2022)
(DOI: 10.1101/2022.05.29.493873)
FuzDrop on AlphaFold: visualizing the sequence-dependent propensity of liquid-liquid phase separation and aggregation of proteins.
A Hatos, SCE Tosatto, M Vendruscolo, M Fuxreiter
– Nucleic Acids Research
(2022)
50,
w337
(DOI: 10.1093/nar/gkac386)
Conformational Entropy as a Potential Liability of Computationally Designed Antibodies.
T Löhr, P Sormanni, M Vendruscolo
– Biomolecules
(2022)
12,
718
(DOI: 10.3390/biom12050718)
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Research Groups

Research Interest Groups

Telephone number

01223 763873

Email address

mv245@cam.ac.uk

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