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Automated Molecular Design in BRADSHAW, Applied to the Optimization of ERAP1 Inhibitors

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Year: 2026
Type: article
Source: Journal of Medicinal Chemistry
DOI: 10.1021/acs.jmedchem.5c03071
Authors: Robert P. Law, Ian D. Wall, Richard Lonsdale, Ross P. Hryczanek, Daniel Barker, Tim N. Barrett, Rino A. Bit, John J. Coward, Matthew W. Gray, Darren V. S. Green, Callum J. Hall, Ashley P. Hancock, Carl Haslam, David J. Hirst, Heather F. Hryczanek, Jonathan P. Hutchinson, Semra Kitchen, David Marcus, Jared Marklew, Joseph Mason, Nicholas D. Measom, Margarete Neu, Simon Peace, Alex Phillipou, Stephen D. Pickett, Peter Pogány, James Rowedder, Paul Rowland, Paul Scott-Stevens, Gail A. L. Seal, Hester Sheehan, Efstratios Stratikos, Chloe Tayler, Jonathan A. Taylor, Christopher P. Tinworth, Giovanni Vitulli
Institution: National Centre of Scientific Research "Demokritos"
Language: English

Topic: Computational Drug Discovery Methods
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W7154030670
FWCI: 3.446
Cites: 51
Cited by: 1
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