Discovering potential inhibitors of Raf proto-oncogene serine/threonine kinase 1: a virtual screening approach

Afsha Khan1, Mohamed Ahmed Bealy2, Bandar Alharbi3

  • 1Department of Computer Science, Jamia Millia Islamia, New Delhi, India.

Insights

Researchers identified Moracin C and Tectochrysin as potential RAF1 inhibitors using computational methods. These natural compounds show promise for developing new anti-cancer drugs by stabilizing the RAF1 protein structure.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Pharmacology

Background:

  • Raf proto-oncogene serine/threonine kinase 1 (RAF1) is vital for cell regulation, and its dysregulation is linked to cancers and other diseases.
  • RAF1 is a significant therapeutic target for developing novel anti-cancer drugs.
  • Identifying effective RAF1 inhibitors is crucial for advancing cancer treatment strategies.

Purpose of the Study:

  • To discover potential phytocompound inhibitors of RAF1 using a multitier virtual screening approach.
  • To evaluate the drug-likeness and binding efficacy of identified compounds against RAF1.
  • To investigate the molecular dynamics and interaction mechanisms of promising inhibitors with RAF1.

Main Methods:

  • Phytocompound retrieval from the IMPPAT database based on Lipinski's rule of five.
  • Molecular docking and virtual screening to identify compounds with high binding affinity.
  • PAINS filtering, ADMET property prediction, and PASS evaluation for drug-likeness.
  • All-atom molecular dynamics simulations (200 ns), MM-PBSA, and DCCM analysis.

Main Results:

  • Moracin C and Tectochrysin were identified as potential RAF1 inhibitors with favorable binding affinities.
  • These compounds demonstrated good drug-like properties and passed various filtering criteria.
  • Molecular dynamics simulations confirmed that Moracin C and Tectochrysin stabilize the RAF1 structure, reducing conformational changes.

Conclusions:

  • Moracin C and Tectochrysin show significant potential as novel anti-cancer agents targeting RAF1.
  • The identified compounds could serve as lead molecules for further drug development against RAF1-associated diseases.
  • Computational approaches are effective in discovering natural product-based inhibitors for therapeutic targets like RAF1.

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