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Fragment- and negative image-based screening of phosphodiesterase 10A inhibitors.

Elmeri Matias JokinenPekka A PostilaMira AhinkoSanna NiinivehmasOlli Taneli Pentikäinen
Published in: Chemical biology & drug design (2019)
A novel virtual screening methodology called fragment- and negative image-based (F-NiB) screening is introduced and tested experimentally using phosphodiesterase 10A (PDE10A) as a case study. Potent PDE10A-specific small-molecule inhibitors are actively sought after for their antipsychotic and neuroprotective effects. The F-NiB combines features from both fragment-based drug discovery and negative image-based (NIB) screening methodologies to facilitate rational drug discovery. The selected structural parts of protein-bound ligand(s) are seamlessly combined with the negative image of the target's ligand-binding cavity. This cavity- and fragment-based hybrid model, namely its shape and electrostatics, is used directly in the rigid docking of ab initio generated ligand 3D conformers. In total, 14 compounds were acquired using the F-NiB methodology, 3D quantitative structure-activity relationship modeling, and pharmacophore modeling. Three of the small molecules inhibited PDE10A at ~27 to ~67 μM range in a radiometric assay. In a larger context, the study shows that the F-NiB provides a flexible way to incorporate small-molecule fragments into the drug discovery.
Keyphrases
  • drug discovery
  • small molecule
  • protein protein
  • deep learning
  • molecular dynamics
  • structure activity relationship
  • high throughput
  • mass spectrometry