Finding Novel Anti-carcinomas Compounds by Targeting SFRP4 Through Molecular Modeling, Docking and Dynamic Simulation...

Area of Science:

• Computational chemistry
• Molecular modeling
• Drug discovery

Background:

• Secreted Frizzled-Related Protein 4 (SFRP4) is a key target in ovarian carcinoma therapy.
• SFRP4 regulates Wnt pathways and is highly expressed in the ovary.

Purpose of the Study:

• To theoretically analyze chemical compounds for their potential to inhibit SFRP4.
• To identify novel inhibitors for ovarian cancer treatment using computational approaches.

Main Methods:

• Homology modeling was used to predict the 3D structure of SFRP4.
• Molecular docking and Molecular Dynamics (MD) simulations were employed for virtual screening.
• Compounds were sketched and minimized using molecular modeling software.

Main Results:

• Compounds 1d and 1e exhibited strong binding energy values (-9.10 and -9.00 kcal/mol) against SFRP4.
• Compound 1d demonstrated stable molecular dynamics, indicating favorable interactions.
• Binding energies were compared to standard ovarian cancer drugs like cisplatin and docetaxel.

Conclusions:

• Compound 1d shows significant potential as an inhibitor of SFRP4 for ovarian carcinoma.
• The in-silico study provides structural insights for developing 1d as a therapeutic agent.
• This research offers a hypothetical pathway for utilizing compound 1d in cancer treatment.