Mapping the Glycan Recognition Landscape of Galectin-3 through Enhanced Sampling Simulations

Subhasmita Mahapatra1, Suman Sinha2

  • 1Mehta Family School of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Khandwa Road, Indore, Madhya Pradesh453552, India.

Insights

Gaussian accelerated molecular dynamics (GaMD) revealed how galectin-3 binding depends on glycan length. Longer glycans bind stably in the native pocket, while shorter ones explore other sites before binding.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Computational Chemistry

Background:

  • Galectin-3 is a key protein in cell processes and a cancer therapeutic target.
  • Understanding galectin-3's interaction with carbohydrate ligands is vital for drug discovery.
  • Atomistic simulations of rare ligand-binding events are computationally intensive.

Purpose of the Study:

  • To investigate galectin-3's intricate binding mechanisms with glycans of varying lengths.
  • To utilize Gaussian accelerated molecular dynamics (GaMD) for efficient simulation of these interactions.
  • To provide insights for designing targeted galectin-3 therapeutics.

Main Methods:

  • Employed Gaussian accelerated molecular dynamics (GaMD) simulations.
  • Studied the binding of galectin-3 with glycans of different chain lengths.
  • Analyzed ligand interaction modes and binding pocket occupancy.

Main Results:

  • Longer glycans (pentasaccharides, ortho-fluoro derivatives) bind strongly and stably to galectin-3's native pocket.
  • Shorter glycans (beta-lactose, TF-antigen) exhibit conformational flexibility, exploring allosteric pockets before native binding.
  • Glycan chain length significantly influences the mode of galectin-3 interaction.

Conclusions:

  • Glycan length is a critical determinant of galectin-3 binding modes.
  • GaMD simulations effectively capture complex ligand-binding mechanisms.
  • Findings inform the rational design of galectin-3-targeting cancer therapies.