Flavonoids as Strong Inhibitors of MAPK3: A Computational Drug Discovery Approach
Background. Mitogen-activated protein kinase 3 (MAPK3) mediates the onset, progression, metastasis, drug resistance, and poor prognosis in various malignancies, including glioma, liver, ovarian, thyroid, lung, breast, gastric, and oral cancers. Negative regulation of MAPK3 expression using miRNAs ha...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
|
Series: | International Journal of Analytical Chemistry |
Online Access: | http://dx.doi.org/10.1155/2023/8899240 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832546755229515776 |
---|---|
author | Amir Taherkhani Parita Khodadadi Lida Samie Zahra Azadian Zeynab Bayat |
author_facet | Amir Taherkhani Parita Khodadadi Lida Samie Zahra Azadian Zeynab Bayat |
author_sort | Amir Taherkhani |
collection | DOAJ |
description | Background. Mitogen-activated protein kinase 3 (MAPK3) mediates the onset, progression, metastasis, drug resistance, and poor prognosis in various malignancies, including glioma, liver, ovarian, thyroid, lung, breast, gastric, and oral cancers. Negative regulation of MAPK3 expression using miRNAs has led to therapeutic effects in cancer. Objectives. The present study performed molecular docking and dynamics simulation to identify potential MAPK3 inhibitors from natural flavonoids, possibly leading to drug development in cancer therapy. Methods. A computational drug discovery approach was performed using the AutoDock tool to identify potential MAPK3 inhibitors from 46 plant-based flavonoids. A cross-validation study was executed using the Schrödinger Maestro docking tool. Molecular dynamics (MD) was executed to evaluate the stability of docked poses between the top-ranked compounds and the MAPK3 catalytic domain. Interactions among the most potent MAPK3 inhibitors and residues within the receptor’s active site were studied using the BIOVIA Discovery Studio Visualizer before and after 100 ns MD simulations. Results. Kaempferol 3-rutinoside-4′-glucoside, kaempferol 3-rutinoside-7-sophoroside, rutin, and vicenin-2 exhibited a magnificent binding affinity to the receptor’s active site. In addition, the stability of the docked poses of these compounds seemed to be stable after ∼45 ns computer simulations. Conclusion. The present study suggests that kaempferol 3-rutinoside-4′-glucoside, kaempferol 3-rutinoside-7-sophoroside, rutin, and vicenin-2 could strongly bind to the MAPK3 catalytic site and could be assigned as a potent inhibitor for MAPK3. These findings may be helpful in the treatment of various cancers. However, further validation experiments are needed. |
format | Article |
id | doaj-art-a8f36248dc22473eb3e6d3eee8d544e6 |
institution | Kabale University |
issn | 1687-8779 |
language | English |
publishDate | 2023-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Analytical Chemistry |
spelling | doaj-art-a8f36248dc22473eb3e6d3eee8d544e62025-02-03T06:47:17ZengWileyInternational Journal of Analytical Chemistry1687-87792023-01-01202310.1155/2023/8899240Flavonoids as Strong Inhibitors of MAPK3: A Computational Drug Discovery ApproachAmir Taherkhani0Parita Khodadadi1Lida Samie2Zahra Azadian3Zeynab Bayat4Research Center for Molecular MedicineDepartment of Oral and Maxillofacial MedicineDepartment of Oral and Maxillofacial MedicineResearch Center for Molecular MedicineDepartment of Oral and Maxillofacial MedicineBackground. Mitogen-activated protein kinase 3 (MAPK3) mediates the onset, progression, metastasis, drug resistance, and poor prognosis in various malignancies, including glioma, liver, ovarian, thyroid, lung, breast, gastric, and oral cancers. Negative regulation of MAPK3 expression using miRNAs has led to therapeutic effects in cancer. Objectives. The present study performed molecular docking and dynamics simulation to identify potential MAPK3 inhibitors from natural flavonoids, possibly leading to drug development in cancer therapy. Methods. A computational drug discovery approach was performed using the AutoDock tool to identify potential MAPK3 inhibitors from 46 plant-based flavonoids. A cross-validation study was executed using the Schrödinger Maestro docking tool. Molecular dynamics (MD) was executed to evaluate the stability of docked poses between the top-ranked compounds and the MAPK3 catalytic domain. Interactions among the most potent MAPK3 inhibitors and residues within the receptor’s active site were studied using the BIOVIA Discovery Studio Visualizer before and after 100 ns MD simulations. Results. Kaempferol 3-rutinoside-4′-glucoside, kaempferol 3-rutinoside-7-sophoroside, rutin, and vicenin-2 exhibited a magnificent binding affinity to the receptor’s active site. In addition, the stability of the docked poses of these compounds seemed to be stable after ∼45 ns computer simulations. Conclusion. The present study suggests that kaempferol 3-rutinoside-4′-glucoside, kaempferol 3-rutinoside-7-sophoroside, rutin, and vicenin-2 could strongly bind to the MAPK3 catalytic site and could be assigned as a potent inhibitor for MAPK3. These findings may be helpful in the treatment of various cancers. However, further validation experiments are needed.http://dx.doi.org/10.1155/2023/8899240 |
spellingShingle | Amir Taherkhani Parita Khodadadi Lida Samie Zahra Azadian Zeynab Bayat Flavonoids as Strong Inhibitors of MAPK3: A Computational Drug Discovery Approach International Journal of Analytical Chemistry |
title | Flavonoids as Strong Inhibitors of MAPK3: A Computational Drug Discovery Approach |
title_full | Flavonoids as Strong Inhibitors of MAPK3: A Computational Drug Discovery Approach |
title_fullStr | Flavonoids as Strong Inhibitors of MAPK3: A Computational Drug Discovery Approach |
title_full_unstemmed | Flavonoids as Strong Inhibitors of MAPK3: A Computational Drug Discovery Approach |
title_short | Flavonoids as Strong Inhibitors of MAPK3: A Computational Drug Discovery Approach |
title_sort | flavonoids as strong inhibitors of mapk3 a computational drug discovery approach |
url | http://dx.doi.org/10.1155/2023/8899240 |
work_keys_str_mv | AT amirtaherkhani flavonoidsasstronginhibitorsofmapk3acomputationaldrugdiscoveryapproach AT paritakhodadadi flavonoidsasstronginhibitorsofmapk3acomputationaldrugdiscoveryapproach AT lidasamie flavonoidsasstronginhibitorsofmapk3acomputationaldrugdiscoveryapproach AT zahraazadian flavonoidsasstronginhibitorsofmapk3acomputationaldrugdiscoveryapproach AT zeynabbayat flavonoidsasstronginhibitorsofmapk3acomputationaldrugdiscoveryapproach |