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Noncovalent Interactions Driven Drug Designing for Depression: A Computational Approach towards Medical Treatment of Depression

Implementing Organization

Principal Investigator
Dr. Juhi Dutta
Indian Institute Of Technology (IIT) Guwahati, Assam

Project Overview

Depression has become a next-door disease nowadays. Clinically several medicines are available in the market, mainly targeting the human serotonin transmitter (hSERT) and inhibiting its uptake. Although sulfur and selenium-based amino acid residues are present in our body, no such sulfur- or selenium-based drugs are reported to treat depression, to the best of our knowledge. Herein, we propose to substitute the oxygen atom(s) of the paroxetine molecule with the sulfur and/or selenium atoms and will find out the best drug among them computationally. The help of density functional theory followed by molecular docking will unveil the protein-ligand (hSERT-drug) structures and their binding energies. The molecular dynamics will also corroborate the study. The different rules will dictate the best drug among them. This computational study will guide the experimentalist in synthesizing the proposed drug. It is a step forward to eradicate depression from the society.

Source

Source
Anusandhan National Research Foundation/Science and Engineering Research Board (SERB), DST 2023-24
Funding Organization
Quick Information
Area of Research
Pharmaceutical Sciences
Start Date
2024
End Date
2026
Status
Ongoing
Contact
duttajuhi93@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
Publications
00
No. of Patents
Filed : 00
Grant : 00
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