Research Article
In-silico Ligands Target Prediction of Potential Inhibitors against Dementia using Chemo Informatics Approach
Author(s): Wamankar Suchita*, Gupta Anshita and Kaur Chanchal Deep
Background: One of the most prevalent neurodegenerative diseases, dementia is characterized by gradual memory loss and cognitive impairment.
It has a variety of neurological signs that affect memory, judgement and social skills. The variety of ligands that may be investigated using
experimental assays has fallen with the help of efficient in silico drug design techniques.
Methods: Through a review of the literature, seven phytochemicals that are effective against dementia were chosen for the current investigation.
Using chemo-informatics tools like SWISS and the Molinspiration online server, these ligands were docked with putative Choline Esterase (ChE),
N-Methyl-D-Aspartate (NMDA) and calcium channel receptors. Using in-silico study, the binding energies of the target-ligand complex and the
ADME (absorption, d.. Read More»
DOI:
10.4172/0975-413X.15.6.154-165
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