Integrated computational pipeline for advanced sampling-based investigation and alternative inhibition of the

Luca Andrade1, Aline Albuquerque2, Andrielly Dos Santos Costa1

  • 1Graduate Program in Computational and Systems Biology, Oswaldo Cruz Institute - Oswaldo Cruz Foundation (Fiocruz), 21040-900, Rio de Janeiro, Brazil; Structural and Functional Biology in Biopharmaceuticals Group - Fiocruz Ceará, 61760-000, Eusébio, Brazil.

Insights

Small molecules targeting the PD-1 C'D loop show promise for cancer immunotherapy by disrupting PD-1/PD-L1 interactions. This computational study validates a novel strategy to overcome current therapeutic challenges.

Area of Science:

  • Immunology
  • Computational Biology
  • Drug Discovery

Background:

  • Cancer immune evasion frequently involves the PD-1/PD-L1 pathway.
  • Current inhibitors face challenges including antibody-related side effects and low affinity.
  • A novel binding site in the PD-1 C'D loop was previously identified.

Purpose of the Study:

  • To computationally validate C'D loop modulation by small ligands as a strategy to inhibit PD-1/PD-L1 interaction.
  • To characterize the molecular recognition and binding mechanisms of the small ligand 1508.
  • To identify novel PD-1 conformations unfavorable for PD-L1 binding.

Main Methods:

  • Utilized a computational pipeline including Supervised Molecular Dynamics (SuMD) and Umbrella Sampling (US).
  • Employed Gaussian Accelerated Molecular Dynamics (GaMD) to explore conformational landscapes.
  • Performed molecular docking analysis on a ternary complex (PD-1, 1508, PD-L1).

Main Results:

  • Characterized critical interaction dynamics within the PD-1 C'D loop cavity upon 1508 binding.
  • Identified specific conformational constraints in the C'D loop (residues S87-P89) and FG loop (A129-I134).
  • Observed a combined destabilizing effect on the PD-1/PD-L1 complex, validated by docking.

Conclusions:

  • The PD-1 C'D loop represents a druggable hotspot for developing novel cancer immunotherapies.
  • Small molecule modulation of the C'D loop effectively impairs PD-1/PD-L1 interaction.
  • The computational pipeline is effective for characterizing PD-1/PD-L1 pathway inhibitors.

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