Investigating carbohydrate based ligands for galectin-3 with docking and molecular dynamics studies

Area of Science:

• Biochemistry
• Computational Chemistry
• Oncology

Background:

• Galectin-3 (Gal-3) is a protein overexpressed in various cancers, including pancreatic cancer.
• This overexpression makes Gal-3 a promising target for cancer imaging and drug development.

Purpose of the Study:

• To evaluate computational methods for designing Galectin-3 ligands for 18F-PET imaging.
• To determine relative binding energies of potential Gal-3 ligands using molecular dynamics and free energy calculations.

Main Methods:

• Utilized molecular dynamics (MD) and free energy calculations to assess ligand binding to Galectin-3.
• Compared computational predictions with available experimental binding affinity data.

Main Results:

• Computational methods, particularly when combined with MD and free energy approaches, provide accurate predictions for Gal-3 ligand binding.
• Calculated binding energies showed strong agreement with experimental data for tested compounds.

Conclusions:

• The study validates a rational approach for designing high-affinity Galectin-3 ligands.
• These findings support the use of computational chemistry in developing targeted cancer imaging and therapeutic agents.