In-silico analysis of potential phytochemicals targeting mitogen activating protein kinase-14 (MAPK14) gene in colorectal cancer
A significant percentage of colorectal cancer (CRC) diagnoses are associated with overexpression of the MAPK14 gene MAPK14 gene or p38 MAPK. It is overexpressed in most cases of colorectal cancer (CRC) and is an important factor for tumor development. CRC is among the most common causes of cancer-related deaths globally It is potent to target this gene for therapeutic intervention because it is important for tumor immune evasion, cell proliferation, survival, and resistance to therapy. By developing treatment techniques that target MAPK14 is a promising approach. In this study, we employed in silico methods to evaluate the potential of phytochemicals as inhibitors of MAPK14, which is overexpressed in CRC. We also included Fruquintinib, an FDA-approved anticancer drug, as a reference compound for molecular docking with MAPK14. Compounds meeting acceptable ADMET profiles were further analyzed using molecular docking, DFT, and MD simulations to identify potential MAPK14 inhibitors. Compound 1 (CID: 44586092) was discovered in our investigation to be a potential therapy for CRC associated with MAPK14.
Authors
- Safura Bibi (ORCID: https://orcid.org/0000-0002-1715-1871)
- Rukhsana Parveen
- Randa A. Althobiti
- Ali Bahadur (ORCID: https://orcid.org/0009-0008-8500-9528)
- Lamiaa Galal Amin (ORCID: https://orcid.org/0000-0003-4319-2463)
- Rana Muhammad Mateen (ORCID: https://orcid.org/0000-0002-7796-0056)
- Shahid Iqbal (ORCID: https://orcid.org/0000-0003-3866-3216)
- Salah Knani (ORCID: https://orcid.org/0000-0001-9617-810X)
- Melati Khalid
- Muhammad Ali (ORCID: https://orcid.org/0000-0001-8530-9143)
- Sajid Mahmood
- Abeer Ahmed Alghamdi
- Mohsin Javed
- Mohammed Arif Nadeem Saqab
- Ahmed Asimov
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Khazar University (AZ)
- Northern Border University (SA)
- University of Nottingham Ningbo China (CN)
- University of the Punjab (PK)
- Azerbaijan State University of Economics (AZ)
- University of Bisha (SA)
- Wenzhou-Kean University (CN)
- ILMA University (PK)
- Kean University (US)
- University of Agriculture Faisalabad (PK)
- University of Management and Technology (PK)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1038/s41598-025-05807-2
- Citations
- 3
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 4.51
Funders
- University of Bisha
- Princess Nourah Bint Abdulrahman University