In-silico Ligands Target Prediction of Potential Inhibitors against Dementia using Chemo Informatics Approach | Abstract

Der Pharma Chemica
Journal for Medicinal Chemistry, Pharmaceutical Chemistry, Pharmaceutical Sciences and Computational Chemistry

ISSN: 0975-413X
All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission Systemof respective journal.


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, distribution, metabolis and excretion) profile of phytochemicals were examined.

Results: A result showed that seven active phytochemicals had a higher binding energy values for Choline Esterase (ChE) receptor. And Resveratrol and Berberine also exhibited good ADME profiles that easily penetrate BBB and having potential inhibitory properties against Choline Esterase (ChE) receptor using chemo-informatics approaches.

Conclusions: These outcomes probably provide insight on the prospect of using resveratrol and berberine as an instance for developing new drugs for managing dementia.

Full-Text PDF

Select your language of interest to view the total content in your interested language

30+ Million Readerbase
SCImago Journal & Country Rank
Google Scholar citation report
Citations : 25868

Der Pharma Chemica received 25868 citations as per Google Scholar report

Der Pharma Chemica peer review process verified at publons
Der Pharma Chemica- Journals on pharmaceutical chemistry