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 MUMO (minimal under-restraining minimal over-restraining) method for the determination of native state ensembles of proteins.
B Richter, J Gsponer, P Várnai, X Salvatella, M Vendruscolo
J Biomol NMR
(2007)
37
Growth with memory
M Marsili, M Vendruscolo
Europhysics Letters
(2007)
37
Hot sandpiles
G Caldarelli, A Maritan, M Vendruscolo
EPL (Europhysics Letters)
(2007)
35
A PDZ domain recapitulates a unifying mechanism for protein folding
S Gianni, CD Geierhaas, N Calosci, P Jemth, GW Vuister, C Travaglini-Allocatelli, M Vendruscolo, M Brunori
Proceedings of the National Academy of Sciences
(2007)
104
BPPred: A Web-based computational tool for predicting biophysical parameters of proteins
CD Geierhaas, AA Nickson, K Lindorff-Larsen, J Clarke, M Vendruscolo
Protein science : a publication of the Protein Society
(2006)
16
Geometry, energetics, and dynamics of hydrogen bonds in proteins: Structural information derived from NMR scalar couplings
J Gsponer, H Hopearuoho, A Cavalli, CM Dobson, M Vendruscolo
J Am Chem Soc
(2006)
128
Dynamic visions of enzymatic reactions
M Vendruscolo, CM Dobson
Science
(2006)
313
Characterization of the residual structure in the unfolded state of the Delta 131 Delta fragment of staphylococcal nuclease
CJ Francis, K Lindorff-Larsen, RB Best, M Vendruscolo
Proteins Structure Function and Bioinformatics
(2006)
65
Relation between native ensembles and experimental structures of proteins
RB Best, K Lindorff-Larsen, MA DePristo, M Vendruscolo
Proceedings of the National Academy of Sciences of the United States of America
(2006)
103
Relation between native ensembles and experimental structures of proteins
RB Best, K Lindorff-Larsen, MA DePristo, M Vendruscolo
Proc Natl Acad Sci U S A
(2006)
103

Co-Director

Research Interest Groups

Telephone number

01223 763873

Email address