A comprehensive nomenclature system for cyclodextrins.

Area of Science:

• Carbohydrate Chemistry
• Supramolecular Chemistry
• Computational Chemistry

Background:

• Modified cyclodextrins (CDs) are versatile cyclic oligosaccharides used in drug delivery, catalysis, and pharmaceuticals.
• CDs often exist as complex mixtures of isomers, making precise characterization challenging.
• Performance optimization requires targeting specific CD structures within these distributions.

Purpose of the Study:

• To address the lack of a standardized nomenclature for modified cyclodextrins (CDs).
• To facilitate AI-driven structural optimization and improve data sharing in CD research.
• To enhance molecular design, reproducibility, and collaboration in the field.

Main Methods:

• Proposed a novel nomenclature system treating glucopyranose units (GPUs) as amino-acid-like residues.
• Defined unsubstituted GPUs as reference building blocks and substituted GPUs as mutations.
• Developed a framework to precisely define substitution types, patterns, and resolve ambiguities.

Main Results:

• The proposed nomenclature precisely defines substitution patterns and resolves cyclic permutation ambiguities.
• The system accommodates simple and complex modifications, including chiral center alterations and CD oligomers.
• Enables clear communication and data representation for diverse modified CD structures.

Conclusions:

• A standardized nomenclature is crucial for advancing modified cyclodextrin research.
• The proposed system enhances molecular design, reproducibility, and computational approaches.
• Facilitates effective communication, data sharing, and collaboration in the CD field.