A computational approach to find alternative drugs for managing depression
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2020.
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Brac University
2022
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| Online Access: | http://hdl.handle.net/10361/17033 |
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10361-170332022-07-25T21:01:35Z A computational approach to find alternative drugs for managing depression Mubashira, Musharrat Shaheed Kabir, Eva Rahman Department of Pharmacy, Brac University MAO-A Depression Protein Neurotransmitters Drugs Small molecules Molecular docking Depression -- drug therapy This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2020. Cataloged from PDF version of thesis report. Includes bibliographical references (pages 40-46). Depression is the most prominent disorder in the field of neuropsychiatry affecting more than 300 million people worldwide, according to Global Burden of Disease report, 2020. Frequent occurrences of depressive episodes among the treated patients suggests that clinically used antidepressants have become resistant. As searching for a new drug can be time consuming and costly, an in-silico based study was conducted to repurpose approved drugs to be used in depression. Pathogenesis of depression shows that human monoamine oxidase A protein (MAOA) plays a key role in degrading notable neurotransmitters and so this protein was studied. Through molecular docking, binding affinity of around hundreds of drugs and some natural small molecules with the protein was evaluated. Furthermore, superimposition and protein-ligand interactions were visualized and assessed. It was found that Glimepiride, an anti-diabetic agent from the synthetic drugs and Curcumin from the natural small molecules have possible antidepressant properties. Musharrat Shaheed Mubashira B. Pharmacy 2022-07-25T04:19:19Z 2022-07-25T04:19:19Z 2020 2020-03 Thesis ID 16146005 http://hdl.handle.net/10361/17033 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 46 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
MAO-A Depression Protein Neurotransmitters Drugs Small molecules Molecular docking Depression -- drug therapy |
| spellingShingle |
MAO-A Depression Protein Neurotransmitters Drugs Small molecules Molecular docking Depression -- drug therapy Mubashira, Musharrat Shaheed A computational approach to find alternative drugs for managing depression |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2020. |
| author2 |
Kabir, Eva Rahman |
| author_facet |
Kabir, Eva Rahman Mubashira, Musharrat Shaheed |
| format |
Thesis |
| author |
Mubashira, Musharrat Shaheed |
| author_sort |
Mubashira, Musharrat Shaheed |
| title |
A computational approach to find alternative drugs for managing depression |
| title_short |
A computational approach to find alternative drugs for managing depression |
| title_full |
A computational approach to find alternative drugs for managing depression |
| title_fullStr |
A computational approach to find alternative drugs for managing depression |
| title_full_unstemmed |
A computational approach to find alternative drugs for managing depression |
| title_sort |
computational approach to find alternative drugs for managing depression |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/17033 |
| work_keys_str_mv |
AT mubashiramusharratshaheed acomputationalapproachtofindalternativedrugsformanagingdepression AT mubashiramusharratshaheed computationalapproachtofindalternativedrugsformanagingdepression |
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1814308475195359232 |