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Design and Synthesis of 56 Shape-Diverse 3D Fragments.

Thomas D DownesS Paul JonesHanna F KleinMary C WheldonMasakazu AtobePaul S BondJames D FirthNgai S ChanLaura WaddeloveRoderick Eliot HubbardDavid C BlakemoreClaudia De FuscoStephen D RoughleyLewis R VidlerMaria Ann WhattonAlison J-A WoolfordGail L WrigleyPeter O'Brien
Published in: Chemistry (Weinheim an der Bergstrasse, Germany) (2020)
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, 2D molecules. Herein, we describe a workflow for the design and synthesis of 56 3D 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 3D fragments were designed to contain suitable synthetic handles for future fragment elaboration. Finally, by comparing our 3D fragments with six commercial libraries, it is clear that our collection has high three-dimensionality and shape diversity.
Keyphrases
  • drug discovery
  • machine learning
  • deep learning
  • single molecule
  • molecular dynamics simulations