Projects per year
Abstract
Fragment-based drug discovery is now widely adopted for lead generation in the pharmaceutical industry. However, fragment screening collections are often predominantly populated with flat, 2-D molecules. Herein, we describe a workflow for the design and synthesis of 56 3-D disubstituted pyrrolidine and piperidine fragments that occupy under-represented areas of fragment space (as demonstrated by a principal moments of inertia (PMI) analysis). A key, and unique, underpinning design feature of this fragment collection is that assessment of fragment shape and conformational diversity (by considering conformations up to 1.5 kcal mol -1 above the energy of the global minimum energy conformer) is carried out prior to synthesis and is also used to select targets for synthesis. The 3-D fragments were designed to contain suitable synthetic handles for future fragment elaboration. Finally, by comparing our 3-D fragments with six commercial libraries, it is clear that our collection has high three-dimensionality and shape diversity.
Original language | English |
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Number of pages | 9 |
Journal | Chemistry : A European Journal |
Early online date | 21 Apr 2020 |
DOIs | |
Publication status | E-pub ahead of print - 21 Apr 2020 |
Bibliographical note
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.Projects
- 2 Finished
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Fragment-based activation and modification of industrial enzymes
Hubbard, R. E., Darby, J. F., Davies, G. J. & O'Brien, P. A.
BBSRC (BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL)
29/04/16 → 28/08/19
Project: Research project (funded) › Research
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Fragments Training Network (H2020-MSCA-ITN-2015)
1/03/16 → 29/02/20
Project: Research project (funded) › Research
Datasets
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Data underpinning Design and Synthesis of 56 Shape Diverse 3‐D Fragments
O'Brien, P. A. (Creator), Firth, J. (Contributor) & Klein, H. (Contributor), University of York, 2020
DOI: 10.15124/56e2e1ac-32ae-4753-8ef1-320d41b0c4d7
Dataset