Shedding light on cancer immunology at the molecular level: A quantum biochemistry study of representative PD-1/PD-L1

Victor L B França1, Jackson L Amaral2, Cláudia do Ó Pessoa3

  • 1Department of Physiology and Pharmacology, Federal University of Ceará, 60430-270, Fortaleza, Ceará, Brazil; Department of Physics, Federal University of Ceará, Fortaleza, 60440-900, Brazil.

Abstract

Insights

Understanding protein flexibility is key for developing new cancer drugs targeting the PD-1/PD-L1 immune checkpoint. This study reveals how protein movement impacts drug interaction energy, aiding in the design of more effective cancer therapies.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Immunology

Background:

  • The programmed death 1 (PD-1) and PD-L1 interaction is a critical mechanism tumors use to evade immune responses.
  • Targeting the PD-1/PD-L1 immune checkpoint presents a promising strategy for novel cancer therapeutics.

Purpose of the Study:

  • To investigate the impact of protein flexibility on the PD-1/PD-L1 interaction energy.
  • To characterize the structural and energetic features of the PD-1/PD-L1 binding interface.

Main Methods:

  • Molecular dynamics simulations (MDS) were employed to analyze protein system flexibility.
  • Quantum biochemistry methods, including density functional theory (DFT), were used to calculate interaction energies.
  • Dimensionality reduction techniques were coupled with MDS and DFT.

Main Results:

  • Protein flexibility significantly influences PD-1/PD-L1 interaction energy, with variations up to 50% observed.
  • Key flexible regions in PD-1 (CC' loop, FG loop, ASP85-GLN91) and PD-L1 (MET58-LYS62) were identified.
  • Specific energetic hot spots in both PD-1 and PD-L1 were elucidated, with notable conformational variations in some hot spots.

Conclusions:

  • This study is the first to combine MDS, dimensionality reduction, and DFT to analyze PD-1/PD-L1 interactions.
  • The identified structural and energetic features offer valuable insights for designing more potent PD-1/PD-L1 inhibitors for cancer treatment.

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