Centre for Misfolding Diseases

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  • Currently displaying 1 - 20 of 2450 publications
Author(s)
Publication title
Journal Name
Publication year
Formation of S- and Z-twist supramolecular micro-ropes by peptide stereoisomers.
H Yuan, Z Yang, C Yuan, S Shankar, A Levin, T Lv, Z Wang, W Sun, J Sitton, P-A Cazade, Y Dan, Y Tang, L Adler-Abramovich, Y Cao, S Rencus-Lazar, D Thompson, D Kurouski, TPJ Knowles, LJW Shimon, G Wei, B Xue, R Yang, E Gazit
Nature Communications
(2026)
(doi: 10.1038/s41467-026-71043-5)
OmniBind: Proteome-Wide Promiscuity Predictions for Early-Stage Drug Screening
J Hanke, S Pujalte Ojeda, RW Cheong, LM Glasstetter, E Baker, HYI Lam, M Brezinova, AAB Louet, S Zhang, M Vendruscolo
(2026)
(doi: 10.64898/2026.03.17.712433)
The α-synuclein proteostasis network and its translational applications in Parkinson's disease.
CM Lim, M Vendruscolo
Proceedings of the National Academy of Sciences of the United States of America
(2026)
123
(doi: 10.1073/pnas.2513317123)
Reversibility and β-sheet formation are decoupled in tau condensate aging.
CM Fischer, IA Edu, T Šneideris, I Baronaite, Z Toprakcioglu, L-T Deck, D Qian, R Scrutton, L Dreyer, J Wen, DE Otzen, S Wu, S Perrett, TPJ Knowles
Proc Natl Acad Sci U S A
(2026)
123
(doi: 10.1073/pnas.2522993123)
Engineering armoured in vivo CAR T cells through targeted delivery and transient mRNA gating
K Hu, S Srivastava, B Ma, Y Yang, H Wang, M Mangolini, J Hayre, E Souster, R Karattil, A Ramon, M Greenig, P Sormanni, S Cordoba, S Onuoha
(2026)
(doi: 10.64898/2026.03.10.710759)
FuzDrop: sequence-based prediction of the propensity of proteins for liquid-liquid phase separation and aggregation.
M Vendruscolo, M Fuxreiter
Nature protocols
(2026)
(doi: 10.1038/s41596-025-01267-0)
Rational Design of Nanobodies Targeting LINGO‐1
A Röntgen, VR Chowdhury, A Ramon, M Greenig, X Xu, P Sormanni, M Vendruscolo
Applied Research
(2026)
5
(doi: 10.1002/appl.70071)
Toward a unified framework for determining conformational ensembles of disordered proteins.
H Ghafouri, P Kadeřávek, AM Melo, MC Aspromonte, P Bernadó, J Cortés, Z Dosztányi, G Erdős, M Feig, G Janson, K Lindorff-Larsen, FAA Mulder, P Nagy, R Pestell, D Piovesan, M Schiavina, B Schuler, N Sibille, G Tesei, P Tompa, M Vendruscolo, J Vondrasek, W Vranken, L Zidek, SCE Tosatto, AM Monzon
Nature Methods
(2026)
(doi: 10.1038/s41592-026-03003-2)
Correction to “Design of Tau Aggregation Inhibitors Using Iterative Machine Learning and a Polymorph-Specific Brain-Seeded Fibril Amplification Assay”
A Santambrogio, RI Horne, MA Metrick, NCT Gallagher, ZF Brotzakis, D Rinauro, E Vourkou, K Papanikolopoulou, EMC Skoulakis, S Linse, B Caughey, M Vendruscolo
Journal of the American Chemical Society
(2026)
(doi: 10.1021/jacs.5c18723)
Structural Plausibility Without Binding Specificity: Limits of AI-Based Antibody-Antigen Structure Prediction Confidence Scores
E Smorodina, M Ali, K Kropivšek Brumat, L Salicari, S Miklavc, A Kappassov, C Fu, P Sormanni, A de Marco, V Greiff
(2026)
(doi: 10.64898/2026.03.02.709004)
Scaling Relations of Multicomponent Phase Coexistence Boundaries
D Qian, J Acker, RM Scrutton, CM Fischer, S Qamar, T Sneideris, A Borodavka, TPJ Knowles
PRX Life
(2026)
4
(doi: 10.1103/t2v5-49k4)
BPS2026 – Nucleation kinetics reveals a distinct biological function space of biomolecular condensates
L-T Deck, SN Pacheco, H Ausserwöger, D Frenkel, NA Erkamp, TPJ Knowles
Biophysical Journal
(2026)
125
(doi: 10.1016/j.bpj.2025.11.1572)
Structural defects in amyloid-β fibrils drive secondary nucleation
J Hu, T Scheidt, D Thacker, E Axell, E Stemme, U Łapińska, S Wennmalm, G Meisl, S Curk, M Andreasen, M Vendruscolo, P Arosio, A Šarić, JD Schmit, TPJ Knowles, E Sparr, S Linse, TCT Michaels, AJ Dear
Nature communications
(2026)
17
(doi: 10.1038/s41467-026-69377-1)
A cell-level model to predict the spatiotemporal dynamics of neurodegenerative disease
S-H Huang, MW Cotton, TPJ Knowles, D Klenerman, G Meisl
(2026)
(doi: 10.48550/arxiv.2508.15046)
A cell-level model to predict the spatiotemporal dynamics of neurodegenerative disease
S-H Huang, 黃士桓, MW Cotton, TPJ Knowles, D Klenerman, G Meisl
PRX Life
(2026)
4
(doi: 10.1103/f9hz-xvpr)
Distinct mechanistic pathways of early tauopathy revealed by MAPT mutations
MS Foiani, RS Nirujogi, N Watamura, S Bez, E Tsefou, A Santambrogio, S Patel, H Davies, C Goulbourne, N Fatima, T Birkle, E Camporesi, G Brinkmalm, H Zetterberg, M Wilkinson, SE Radford, NA Ranson, P Maglio-Cauhy, E Turkes, A Avdic-Belltheus, I Rawlinson, X Prebibaj, L Panti, D Gavriouchkina, M Blunskyte-Hendley, T Saido, M Vendruscolo, R Frank, M Bourdenx, KE Duff
bioRxiv
(2026)
(doi: 10.64898/2026.02.14.705716)
Disulphide and sequence-encoded conformational priors guide nanobody structure prediction
M Ali, M Jaskolowski, M Greenig, TH Nguyen, M Crnogaj, E Smorodina, A Ramon, H Zhao, ML Fernández-Quintero, E Ghedin, V Greiff, P Sormanni
(2026)
(doi: 10.64898/2026.02.13.705647)
Classification of tauopathies from human brain homogenates through salt‐modulated tau amplification
A Santambrogio, MA Metrick, P Xu, NCT Gallagher, S Koga, B Ghetti, DW Dickson, B Caughey, M Vendruscolo
Alzheimer's & Dementia
(2026)
22
(doi: 10.1002/alz.71112)
Metadiffusion: inference-time meta-energy biasing of biomolecular diffusion models
HYI Lam, SP Ojeda, M Brezinova, J Hanke, XE Ong, Y Mu, M Vendruscolo
(2026)
(doi: 10.64898/2026.02.10.704873)
Understanding Biology with Machine Learning: Compression, Intelligibility, and Dependency
E Lawrence, A El-Shazly, S Seal, CK Joshi, P Liò, A Bender, S Singh, P Sormanni, O Spjuth, M Greenig
Artificial Intelligence in the Life Sciences
(2026)
9
(doi: 10.1016/j.ailsci.2026.100161)
Yusuf Hamied Department of Chemistry
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