Title : Machine Learning Neuroprotective Strategy Reveals a Unique Set of Parkinson Therapeutic Nicotine Analogs.

Pub. Date : 2020

PMID : 33927788






3 Functional Relationships(s)
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1 Epidemiological studies have shown that nicotine consumption decreases PD prevalence through neuroprotective mechanisms activation associated with the overstimulation of signaling pathways (SP) such as PI3K/AKT through nicotinic acetylcholine receptors (e.g alpha7 nAChRs) and over-expression of anti-apoptotic genes such as Bcl-2. Nicotine AKT serine/threonine kinase 1 Homo sapiens
2 Methods: We present a computational strategy integrating structural bioinformatics, SP manual reconstruction, and deep learning to predict the potential neuroprotective activity of 8 novel nicotine analogs over the behavior of PI3K/AKT. Nicotine AKT serine/threonine kinase 1 Homo sapiens
3 Results: Our model was able to predict the potential neuroprotective activity of seven new nicotine analogs based on the binomial Bcl-2 response regulated by the activation of PI3K/AKT. Nicotine AKT serine/threonine kinase 1 Homo sapiens