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.

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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