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Protein-Carbohydrate interactions are crucial in many biological processes with implications to drug …


Biology Articles » Biochemistry » Carbohydrate Biochemistry » Sequence and structural features of carbohydrate binding in proteins and assessment of predictability using a neural network » Conclusion

Conclusion
- Sequence and structural features of carbohydrate binding in proteins and assessment of predictability using a neural network

This analysis of protein-carbohydrate interactions in terms of proteins sequence and solvent accessibility reveals that TRP and ARG residues have the highest overall binding propensity for all types of carbohydrates. Planar side chains of polar residues are also confirmed to have overall high propensity of binding. Mean solvent accessibility of hydrophobic residues has been found to be higher for binding regions, whereas charged residues have almost the same solvent accessibility in binding and non-binding regions. A neural network, trained to use evolutionary information of residues and their neighbors could correctly make prediction of binding or non-binding residues with 69–72% specificity and 55–57% sensitivity.


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