Predictive recognition of native proteins by cucurbit[7]uril in a complex mixture

Area of Science:

• Biochemistry
• Supramolecular Chemistry
• Analytical Chemistry

Background:

• Human growth hormone (hGH) and insulin are vital biomolecules with significant diagnostic implications.
• Cucurbit[7]uril (Q7) is a synthetic macrocyclic host molecule with unique binding properties.
• Developing selective recognition systems for proteins is crucial for diagnostics and therapeutics.

Purpose of the Study:

• To investigate the recognition of human growth hormone (hGH) by cucurbit[7]uril (Q7).
• To develop a method for detecting hGH and insulin in complex biological mixtures using Q7.
• To assess the potential of Q7-based systems in protein analysis.

Main Methods:

• Computational prediction of hGH recognition by Q7 based on its N-terminal phenylalanine residue.
• Preparation of an aqueous-compatible resin with covalently immobilized Q7.
• Testing the resin's ability to recognize native insulin and hGH in simple and complex mixtures.

Main Results:

• The study successfully predicted and demonstrated the recognition of hGH by Q7.
• An immobilized Q7 resin was synthesized and proven effective for protein recognition.
• The Q7 resin demonstrated the ability to recognize both native insulin and hGH in various sample types.

Conclusions:

• Cucurbit[7]uril (Q7) exhibits specific recognition capabilities for human growth hormone (hGH).
• Immobilized Q7 on a resin provides a viable platform for detecting insulin and hGH.
• This Q7-based recognition system holds promise for developing novel diagnostic tools.