Author

R. C. Gregory

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1

Frequent Co-Authors

M. Vendruscolo· 2 shared R. I. Horne· 2 shared S. Chia· 2 shared Z. F. Brotzakis· 2 shared A. Aubert· 1 shared A. Possenti· 1 shared A. Srivastava· 1 shared B. Caughey· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

M. Vendruscolo

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2 papers

Recent·Most cited

Multiplexed Digital Characterisation of Misfolded Protein Oligomers via Solid-State Nanopores

S. E. Sandler, R. I. Horne, S. Rocchetti, R. Novak, N.-S. Hsu, M. C. Cruz, Z. F. Brotzakis, R. C. Gregory, S. Chia, G. J. L. Bernardes, U. F. Keyser, M. Vendruscolo

This paper introduces a single-molecule method using solid-state nanopores and DNA barcoding to detect and characterize misfolded protein oligomers, demonstrating its application to α-synuclein in Parkinson's disease.

bioRxiv · Aug 9, 2023 · PreprintBiophysics

Discovery of Potent Inhibitors of α-Synuclein Aggregation Using Structure-Based Iterative Learning

R. I. Horne, E. Andrzejewska, P. Alam, Z. F. Brotzakis, A. Srivastava, A. Aubert, M. Nowinska, R. C. Gregory, R. Staats, A. Possenti, S. Chia, P. Sormanni, B. Ghetti, B. Caughey, T. P. J. Knowles, M. Vendruscolo

This paper uses structure-based machine learning to identify potent small molecule inhibitors of α-synuclein aggregation, achieving compounds two orders of magnitude more potent than previous reports.

bioRxiv · Nov 10, 2021Biophysics