AI in the drug discovery pipeline
The results show the promise of an appropriate AI framework to accelerate the discovery of activity between molecules and targets, particularly in receptors with importance to therapeutic treatments for AD. For example, targeting beta-adrenergic-2 receptors because of its relation to neurogenesis and synaptic disfunction. Moving to later stages of the proposed pipeline will highlight and validate the potential of our molecules in the field of medicine and AD.
Authors
- Diego A. Rodríguez‐Soacha (ORCID: https://orcid.org/0000-0001-5426-2178)
- Paola Ruiz Puentes
- Ram Mukunda
- Daniel Crovo
- Néstor F. González García
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_108629
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00