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Comparative Modeling, Molecular Docking, and Revealing of Potential Binding Pockets of RASSF2; a Candidate Cancer
Sonia Kanwal1, Farrukh Jamil1, Ahmad Ali1
1Department of Biosciences, COMSATS Institute of Information Technology, Sahiwal, Pakistan.
Abstract:
RASSF2, potential tumor suppressor gene, acts as a KRAS-specific effectors protein and may promote apoptosis and cell cycle arrest. It stabilizes STK3/MST2 by protecting it from proteasomal degradation. RASSF2 plays a significant role against the inhibition of cancer. MODELLER (9v15) and online servers (I-Tasser, SwissModel, 3D-JigSaw, ModWeb) were utilized to generate 3D structures of the RASSF2 based on homology modeling. A comparison between models predicted by MODELLER (9v15) and Web servers had been checked through utilized evaluation tools. The most potent model for RASSF2 was analyzed and selected for molecular docking studies. The binding pockets were revealed for binding studies through Site Hound. AutoDock Vina and AutoDock4 were utilized for molecular docking, and the attempt of this experiment was to identify the ligands for RASSF2. The selected compounds may act as regulators and regulate the normal activity of RASSF2. It was also analyzed and observed that the selected compounds showed least binding energy and high-affinity binding in predicted top binding domain. The determination of protein function is based on accurate identification of binding sites in protein structures. The binding site is known, and it may allow the ligand type and protein function to be determined by performing in silico and experimental procedures. The detection, comparison, and analysis of binding pockets are pivotal to drug discovery. It proposed that predicted structure is reliable for the structural insights and functional studies. The predicted binding pockets may lead to further analysis (drug discovery), used against cancer study.
Insights
RAS-association domain family protein 2 (RASSF2) acts as a tumor suppressor by regulating apoptosis and cell cycle arrest. This study modeled RASSF2 structures to identify potential cancer drug targets.
Area of Science:
- Molecular Biology
- Structural Biology
- Computational Chemistry
Background:
- The RAS-association domain family protein 2 (RASSF2) is a potential tumor suppressor gene involved in apoptosis and cell cycle arrest.
- RASSF2 functions as a KRAS-specific effector protein and stabilizes STK3/MST2, playing a crucial role in cancer inhibition.
Purpose of the Study:
- To generate and validate 3D structural models of RASSF2 using homology modeling.
- To identify potential drug ligands for RASSF2 through molecular docking studies to understand its function and aid drug discovery.
Main Methods:
- Homology modeling using MODELLER (9v15) and web servers (I-Tasser, SwissModel, 3D-JigSaw, ModWeb).
- Model evaluation using various tools.
- Identification of binding pockets using Site Hound.
- Molecular docking simulations using AutoDock Vina and AutoDock4.
Main Results:
- Multiple 3D structural models of RASSF2 were generated and compared.
- The study identified specific compounds exhibiting high-affinity binding and low binding energy to RASSF2's predicted binding domain.
- These findings suggest potential regulatory roles for the identified compounds.
Conclusions:
- The generated RASSF2 structural model is reliable for further structural and functional studies.
- The identified binding pockets and ligands provide valuable insights for drug discovery targeting RASSF2 in cancer treatment.
- In silico analysis of binding sites is pivotal for determining protein function and advancing cancer research.
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