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2026

2025

Binding‐Site Purification of Actives (B‐SPA) Enables Efficient Large‐Scale Progression of Fragment Hits by Combining Multi‐Step Array Synthesis With HT Crystallography

Grosjean, H., Aimon, A., Hassell‐Hart, S., Thompson, W., Koekemoer, L., Bennett, J., . . . von Delft, F. (2025). Binding‐Site Purification of Actives (B‐SPA) Enables Efficient Large‐Scale Progression of Fragment Hits by Combining Multi‐Step Array Synthesis With HT Crystallography. Angewandte Chemie International Edition, 64(16). doi:10.1002/anie.202424373

DOI
10.1002/anie.202424373
Journal article

Binding‐Site Purification of Actives (B‐SPA) Enables Efficient Large‐Scale Progression of Fragment Hits by Combining Multi‐Step Array Synthesis With HT Crystallography

Grosjean, H., Aimon, A., Hassell‐Hart, S., Thompson, W., Koekemoer, L., Bennett, J., . . . von Delft, F. (2025). Binding‐Site Purification of Actives (B‐SPA) Enables Efficient Large‐Scale Progression of Fragment Hits by Combining Multi‐Step Array Synthesis With HT Crystallography. Angewandte Chemie, 137(16). doi:10.1002/ange.202424373

DOI
10.1002/ange.202424373
Journal article

2021

Deep generative design with 3D pharmacophoric constraints

Imrie, F., Hadfield, T. E., Bradley, A. R., & Deane, C. M. (2021). Deep generative design with 3D pharmacophoric constraints. Chemical Science, 12(43), 14577-14589. doi:10.1039/d1sc02436a

DOI
10.1039/d1sc02436a
Journal article

2020

2019

BioJava 5: A community driven open-source bioinformatics library

Lafita, A., Bliven, S., Prlić, A., Guzenko, D., Rose, P. W., Bradley, A., . . . Duarte, J. M. (2019). BioJava 5: A community driven open-source bioinformatics library. PLOS Computational Biology, 15(2), e1006791. doi:10.1371/journal.pcbi.1006791

DOI
10.1371/journal.pcbi.1006791
Journal article

2017

MMTF—An efficient file format for the transmission, visualization, and analysis of macromolecular structures

Bradley, A. R., Rose, A. S., Pavelka, A., Valasatava, Y., Duarte, J. M., Prlić, A., & Rose, P. W. (2017). MMTF—An efficient file format for the transmission, visualization, and analysis of macromolecular structures. PLOS Computational Biology, 13(6), e1005575. doi:10.1371/journal.pcbi.1005575

DOI
10.1371/journal.pcbi.1005575
Journal article

MMTF - an efficient file format for the transmission, visualization, and analysis of macromolecular structures

DOI
10.1101/122689
Preprint