Binding studies and computer-aided modelling of macromolecule/odorant interactions

Area of Science:

• Food Chemistry
• Biophysics
• Molecular Modeling

Background:

• Odorant-biopolymer interactions affect flavor intensity and food matrix binding.
• Partition coefficients and molecular structures dictate odorant partitioning.
• Understanding these binding mechanisms is crucial for food science.

Purpose of the Study:

• To investigate the binding affinities of gamma- and delta-lactones to bovine serum albumin (BSA) and beta-lactoglobulin (BLG).
• To establish quantitative structure-activity relationships (QSAR) for lactone binding on proteins.
• To develop and validate computational models for predicting odorant-biopolymer binding.

Main Methods:

• Ultracentrifugation and equilibrium-dialysis techniques were used to measure binding affinities.
• Physico-chemical descriptors, including lipophilicity and H-bond strength, were analyzed.
• Computational ligand-macromolecule docking and free energy calculations were performed.

Main Results:

• Lipophilicity was identified as a major factor influencing odorant-protein binding.
• A novel BLG-lactone binding site was discovered and confirmed.
• Computational predictions of lactone-BLG binding free energies closely matched experimental data.

Conclusions:

• Odorant binding to biopolymers is strongly influenced by molecular structure, particularly lipophilicity.
• Computational methods offer a reliable approach for predicting odorant-biopolymer interactions.
• This research provides a foundation for understanding and manipulating flavor profiles in food systems.