In this final installment of this series, the possibilities of artificial intelligence applications to the various efforts around glycan-related database development are discussed. After a brief introduction to the field of AI, the compatibility of AI to glycobiology is described, followed by ideas for future research combining these fields.
Neurons are cells that are fully differentiated and do not divide further. Therefore, it is difficult to grow these cells, once damaged, and to replace them with new ones. Neurons with injured axons can only maintain their function by regenerating their axons. However, little or no axon regeneration takes place in the central nervous system. It has been revealed that glycans, glycan receptors, and autophagy are involved in this regeneration process. In this article, I describe the timeline and historical development of this research topic in a way that makes it more readable than the typical review article in an academic journal.
