| Infrared nanospectroscopy reveals the molecular interaction fingerprint of an aggregation inhibitor with single Aβ42 oligomers FS Ruggeri, J Habchi, S Chia, RI Horne, M Vendruscolo, TPJ Knowles Nature Communications 12 (1), 688, 2021 | 58 | 2021 |
| Screening of small molecules using the inhibition of oligomer formation in α-synuclein aggregation as a selection parameter R Staats, TCT Michaels, P Flagmeier, S Chia, RI Horne, J Habchi, S Linse, ... Communications Chemistry 3 (1), 191, 2020 | 35 | 2020 |
| Structure-based discovery of small-molecule inhibitors of the autocatalytic proliferation of α-Synuclein aggregates S Chia, Z Faidon Brotzakis, RI Horne, A Possenti, B Mannini, R Cataldi, ... Molecular Pharmaceutics 20 (1), 183-193, 2022 | 24 | 2022 |
| Exploration and exploitation approaches based on generative machine learning to identify potent small molecule inhibitors of α-synuclein secondary nucleation RI Horne, MH Murtada, D Huo, ZF Brotzakis, RC Gregory, A Possenti, ... Journal of Chemical Theory and Computation 19 (14), 4701-4710, 2023 | 13 | 2023 |
| Using Generative Modeling to Endow with Potency Initially Inert Compounds with Good Bioavailability and Low Toxicity RI Horne, J Wilson-Godber, A González Díaz, ZF Brotzakis, S Seal, ... Journal of Chemical Information and Modeling, 2024 | 6 | 2024 |
| A Machine Learning Approach to Identify Small Molecule Inhibitors of Secondary Nucleation in α-Synuclein Aggregation RI Horne, A Possenti, S Chia, ZF Brotzakis, R Staats, M Nowinska, ... | 6 | 2022 |
| 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, ... ACS Chemical Neuroscience 14 (17), 3125-3131, 2023 | 5 | 2023 |
| Multiplexed Digital Characterization of Misfolded Protein Oligomers via Solid-State Nanopores SE Sandler, RI Horne, S Rocchetti, R Novak, NS Hsu, M Castellana Cruz, ... Journal of the American Chemical Society 145 (47), 25776-25788, 2023 | 3 | 2023 |
| Bayesian Optimization in the Latent Space of a Variational Autoencoder for the Generation of Selective FLT3 Inhibitors R Chandra, RI Horne, M Vendruscolo Journal of Chemical Theory and Computation 20 (1), 469-476, 2023 | 2 | 2023 |
| Discovery of potent inhibitors of α-Synuclein aggregation using structure-based iterative learning RI Horne, E Andrzejewska, P Alam, ZF Brotzakis, A Srivastava, A Aubert, ... bioRxiv, 2021.11. 10.468009, 2021 | 2 | 2021 |
| 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 10, 2023 | 1 | 2023 |
| Drug discovery for misfolding diseases using structure-based iterative learning R Horne | | 2024 |
| Sequence-Based Drug Design Using Transformers M Vendruscolo, S Zhang, D Huo, R Horne, Y Qi, SP Ojeda, A Yan | | 2024 |
| Molecular mechanism of α-synuclein aggregation on lipid membranes revealed AJ Dear, X Teng, SR Ball, J Lewin, RI Horne, D Clow, A Stevenson, ... Chemical Science, 2024 | | 2024 |
| A brain‐seeded fibril amplification models the aggregation process of tau in Alzheimer’s disease for drug discovery A Santambrogio, M Metrick, T Löhr, R Horne, M Vendruscolo Alzheimer's & Dementia 19, e082750, 2023 | | 2023 |
| Secondary Processes Dominate the Quiescent, Spontaneous Aggregation of α‑Synuclein at Physiological pH with Sodium Salts MA Metrick, W Man, DJ Rinauro, ZF Brotzakis, S Chia, RI Horne, G Meisl, ... American Chemical Society, 2023 | | 2023 |
| Sequence-based drug design using transformers S Zhang, D Huo, RI Horne, Y Qi, SP Ojeda, A Yan, M Vendruscolo bioRxiv, 2023.11. 27.568880, 2023 | | 2023 |
| A Rapid in vivo Pipeline to Identify Small Molecule Inhibitors of Amyloid Aggregation M Kamal, J Knox, RI Horne, OS Tiwari, AR Burns, D Han, DL Bar-Yosef, ... bioRxiv, 2022.04. 11.487937, 2022 | | 2022 |
| Using machine learning to endow with potency initially inert compounds with good bioavailability and low toxicity RI Horne, J Wilson-Godber, AG Díaz, ZF Brotzakis, S Seal, RC Gregory, ... | | |
Michele VendruscoloProfessor of Biophysics, University of CambridgeVerified email at cam.ac.uk
