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Department of Chemistry

 
Portrait of mv245

 

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.

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.

 

 

Publications

Single molecule secondary structure determination of proteins through infrared absorption nanospectroscopy
FS Ruggeri, B Mannini, R Schmid, M Vendruscolo, TPJ Knowles
– Nat Commun
(2020)
11,
2945
Rationally Designed Antibodies as Research Tools to Study the Structure-Toxicity Relationship of Amyloid-beta Oligomers
R Limbocker, B Mannini, R Cataldi, S Chhangur, AK Wright, RP Kreiser, JA Albright, S Chia, J Habchi, P Sormanni, JR Kumita, FS Ruggeri, CM Dobson, F Chiti, FA Aprile, M Vendruscolo
– International Journal of Molecular Sciences
(2020)
21,
4542
Rational design of a conformation-specific antibody for the quantification of Aβ oligomers
FA Aprile, P Sormanni, M Podpolny, S Chhangur, L-M Needham, FS Ruggeri, M Perni, R Limbocker, GT Heller, T Sneideris, T Scheidt, B Mannini, J Habchi, SF Lee, PC Salinas, TPJ Knowles, CM Dobson, M Vendruscolo
– Proc Natl Acad Sci U S A
(2020)
117,
13509
Biophysical studies of protein misfolding and aggregation in in vivo models of Alzheimer’s and Parkinson’s diseases
T Sinnige, K Stroobants, CM Dobson, M Vendruscolo
– Quarterly Reviews of Biophysics
(2020)
49,
e22
Reduced proteasome activity in the aging brain results in ribosome stoichiometry loss and aggregation.
E Kelmer Sacramento, JM Kirkpatrick, M Mazzetto, M Baumgart, A Bartolome, S Di Sanzo, C Caterino, M Sanguanini, N Papaevgeniou, M Lefaki, D Childs, S Bagnoli, E Terzibasi Tozzini, D Di Fraia, N Romanov, PH Sudmant, W Huber, N Chondrogianni, M Vendruscolo, A Cellerino, A Ori
– Molecular systems biology
(2020)
16,
e9596
Sequence-based prediction of protein binding mode landscapes
A Horvath, M Miskei, V Ambrus, M Vendruscolo, M Fuxreiter
– PLoS computational biology
(2020)
16,
e1007864
Assessing motor-related phenotypes of Caenorhabditis elegans with the wide field-of-view nematode tracking platform.
M Koopman, Q Peter, RI Seinstra, M Perni, M Vendruscolo, CM Dobson, TPJ Knowles, EAA Nollen
– Nature Protocols
(2020)
15,
2071
Complexity in Lipid Membrane Composition Induces Resilience to A beta(42) Aggregation
M Sanguanini, KN Baumann, S Preet, S Chia, J Habchi, TPJ Knowles, M Vendruscolo
– ACS chemical neuroscience
(2020)
11,
1347
Dynamics of oligomer populations formed during the aggregation of Alzheimer’s Aβ42 peptide
TCT Michaels, A Šarić, S Curk, K Bernfur, P Arosio, G Meisl, AJ Dear, SIA Cohen, CM Dobson, M Vendruscolo, S Linse, TPJ Knowles
– Nature chemistry
(2020)
12,
445
Dynamics of oligomer populations formed during the aggregation of Alzheimer's A beta 42 peptide (vol 12, pg 445, 2020)
TCT Michaels, A Šarić, S Curk, K Bernfur, P Arosio, G Meisl, AJ Dear, SIA Cohen, CM Dobson, M Vendruscolo, S Linse, TPJ Knowles
– Nature Chemistry
(2020)
12,
497
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Research Interest Groups

Telephone number

01223 763873

Email address

mv245@cam.ac.uk