Design of new Mcl-1 inhibitors for cancer using fragments hybridization, molecular docking, and molecular dynamics

Abdulrahim A Alzain1, Fatima A Elbadwi1, Rua M Mukhtar1

  • 1Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Wad Madani, Sudan.

Insights

Computational methods identified 10 novel compounds targeting myeloid leukemia 1 (Mcl-1) for cancer therapy. These Mcl-1 inhibitors show promising binding affinity and favorable pharmacokinetics, potentially accelerating drug discovery.

Area of Science:

  • Computational chemistry
  • Drug discovery
  • Molecular biology

Background:

  • Apoptosis is crucial for cell regulation and cancer development.
  • Myeloid leukemia 1 (Mcl-1) protein family overexpression drives cancer.
  • Mcl-1 inhibitors are sought as anticancer agents.

Purpose of the Study:

  • To design novel Mcl-1 inhibitors using computational techniques.
  • To identify drug candidates with high binding affinity and favorable pharmacokinetics.
  • To accelerate the identification of potential anticancer agents.

Main Methods:

  • E-pharmacophore modeling and fragment screening of 567,000 compounds.
  • Molecular docking (HTVS, SP, XP) of 92,384 novel compounds.
  • MM-GBSA calculations, ADME prediction, and molecular dynamics simulations.

Main Results:

  • Identified 10 compounds with excellent Mcl-1 binding affinity.
  • These compounds exhibited favorable pharmacokinetic properties.
  • Top three complexes showed stable interactions via molecular dynamics.

Conclusions:

  • The designed compounds show significant potential as anticancer agents.
  • Fragment-based drug design combined with in silico methods accelerates drug discovery.
  • Further experimental validation is recommended for Mcl-1 apoptosis assays.