Molecular dynamics analysis of a series of 22 potential farnesyltransferase substrates containing a CaaX-motif

Sérgio F Sousa1, João T S Coimbra, Diogo Paramos

  • 1REQUIMTE, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, s/n, 4169-007, Porto, Portugal. sergio.sousa@fc.up.pt

Insights

Molecular dynamics simulations reveal key mechanistic differences between protein farnesyltransferase (FTase) substrates and inhibitors. This study offers new insights into FTase activity, crucial for cancer drug development.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Enzyme Kinetics

Background:

  • Protein farnesyltransferase (FTase) is a key enzyme in post-translational modification, essential for the function of proteins implicated in cancer development.
  • FTase inhibitors (FTIs) are actively investigated as anti-cancer therapeutics, with several compounds in clinical trials.
  • Despite therapeutic advancements, fundamental questions regarding FTase's catalytic mechanism and substrate/inhibitor interactions persist.

Purpose of the Study:

  • To elucidate the molecular mechanisms underlying the activity of protein farnesyltransferase (FTase).
  • To comparatively analyze the dynamic behavior of FTase substrates and inhibitors using molecular dynamics (MD) simulations.
  • To provide crucial mechanistic insights into FTase function and its interactions with CaaX peptides.

Main Methods:

  • Application of specifically designed molecular mechanical parameters for MD simulations.
  • Simulation of 22 CaaX peptides, acting as natural substrates or inhibitors of FTase.
  • Comparative analysis of enzyme-peptide interactions, solvent effects, and key molecular properties.

Main Results:

  • Detailed analysis of water molecule distribution around the catalytic zinc atom and CaaX cysteine.
  • Evaluation of substrate and inhibitor conformations, RMSF values, hydrogen bonds, and critical distances.
  • Identification of distinct dynamic behaviors between FTase substrates and inhibitors at the molecular level.

Conclusions:

  • The study provides novel mechanistic details on FTase activity through advanced computational simulations.
  • Findings offer a deeper understanding of substrate and inhibitor interactions with FTase.
  • Results contribute valuable insights for the rational design of more effective FTase inhibitors for cancer therapy.

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