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

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
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article

AI in the drug discovery pipeline

Diego A. Rodríguez‐Soacha, Paola Ruiz Puentes, Ram Mukunda, Daniel Crovo et al.
Alzheimer s & Dementia
Computational Drug Discovery Methods
article

AI in the drug discovery pipeline

Diego A. Rodríguez‐Soacha, Paola Ruiz Puentes, Ram Mukunda, Daniel Crovo, Néstor F. González García
article en

Abstract

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.

Alzheimer s & DementiaVol. 21(S7)
Openalex Percentile: Top 28%
Computational Drug Discovery Methods
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AI in the drug discovery pipeline — Diego A. Rodríguez‐Soacha, Paola Ruiz Puentes, et al. · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS