3D-QSAR, molecular docking, simulation dynamic and ADMET studies on new quinolines derivatives against colorectal

Reda El-Mernissi1, Ayoub Khaldan1, Soukaina Bouamrane1

  • 1Molecular Chemistry and Natural Substances Laboratory, Faculty of Science, University Moulay Ismail, Meknes, Morocco.

Insights

Computational methods identified novel quinoline compounds (T1-T3) as potent tubulin inhibitors for colorectal cancer treatment. These compounds demonstrated stability and favorable medicinal properties in simulations, offering promising therapeutic potential.

Area of Science:

  • Medicinal Chemistry
  • Computational Biology
  • Oncology

Background:

  • Colorectal cancer is a significant health concern driven by uncontrolled cell growth.
  • Tubulin and microtubules are emerging targets for cancer therapeutics.
  • Quinoline compounds show promise against human colorectal cancer.

Purpose of the Study:

  • To investigate the potential of thirty quinoline compounds as tubulin inhibitors.
  • To design novel molecules with enhanced efficacy against colorectal cancer using computational methods.

Main Methods:

  • Quantitative Structure-Activity Relationship (3D-QSAR) with CoMFA and CoMSIA.
  • Molecular docking to assess ligand-receptor binding and complex stability.
  • Molecular dynamics simulations (100 ns) to confirm compound stability.
  • ADMET analysis for pharmacokinetic properties.

Main Results:

  • Compounds T1, T2, and T3 exhibited high stability and favorable binding interactions.
  • Molecular dynamics simulations confirmed the sustained stability of T1-T3.
  • ADMET profiling indicated good medicinal characteristics for T1-T3.

Conclusions:

  • The designed quinoline compounds T1, T2, and T3 are effective tubulin inhibitors.
  • These compounds show significant potential as therapeutic agents for colorectal carcinoma.
  • Computational approaches successfully identified promising drug candidates for colorectal cancer.