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Exploring Glycan Binding Specificity of Odorranalectin by Alanine Scanning Library
YashoNandini Singh1, Predrag Cudic1, Maré Cudic1
1Department of Chemistry and Biochemistry, Florida Atlantic University, 777 Glades Road, Boca Raton, Florida 33431, United States.
European Journal of Organic Chemistry
|September 19, 2022
Summary
Alanine scanning of odorranalectin identified key residues for lectin-like binding to specific carbohydrates. Modified analogues showed enhanced binding, revealing insights into carbohydrate-lectin interactions.
Area of Science:
- Biochemistry
- Carbohydrate Chemistry
- Molecular Recognition
Background:
- Odorranalectin (OL) is a cyclic peptide with lectin-like properties.
- Understanding carbohydrate-peptide interactions is crucial for biological processes.
Purpose of the Study:
- To identify key amino acid residues in odorranalectin responsible for binding to specific monosaccharides.
- To investigate the binding affinities and thermodynamic properties of modified odorranalectin analogues.
Main Methods:
- Fluorescently labelled alanine scan analogues of odorranalectin were synthesized.
- Enzyme-linked lectin assay (ELLA) was used to screen binding to BSA-conjugated monosaccharides.
- Isothermal titration calorimetry (ITC) evaluated the thermodynamics of binding.
Main Results:
- Lys5, Phe7, Tyr9, Gly12, Leu14, and Thr17 were identified as crucial for binding BSA-L-fucose, BSA-D-galactose, and BSA-N-acetyl-D-galactosamine.
- Alanine substitutions at Ser3, Pro4, and Val13 enhanced binding affinity.
- Arg8 was important for differentiating binding between L-fucose/D-galactose and N-acetyl-D-galactosamine.
- Binding affinities varied for MUC1 glycopeptide, asialofetuin, and fucoidan.
- Thermodynamic profiles indicated entropy-driven binding for asialofetuin and enthalpy-entropy compensation for fucoidan.
Conclusions:
- Specific residues in odorranalectin are critical for carbohydrate recognition.
- Alanine scanning is an effective method for optimizing lectin-like peptide binding.
- Thermodynamic analysis provides insights into the mechanisms of carbohydrate-lectin interactions.

