Carbohydrate Recognition
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Chemical Biology".
Deadline for manuscript submissions: closed (15 September 2019) | Viewed by 359
Special Issue Editor
Interests: analytical chemistry; carbohydrate; biomolecular interactions; glycobiology; protein/peptide pharmaceuticals
Special Issue Information
Dear Colleagues,
Carbohydrates as secondary gene events represent the mayor posttranslational modification. Ever since it was recognised as a relevant biological phenomenon numerous examples have been documented to certify the relevance of protein glycosylation. Yet, the indirect biosynthetic pathways, the numerous key intermediates and dependence on environmental parameters give rise to so-called microheterogeneity with multiple glycoforms for a single glycoprotein seriously hampering a straight-forward interpretation of structure-vs-function relationships. Nowadays, it is believed that the combination of a particular glycoform, i.e. the combination of a certain glycan on a particular protein backbone, at a particular timepoint is key to trigger a particular biological event. In order to continue contributing to the understanding of functional glycosylation it is crucial to continue developping novel tools based on the physico-chemical properties to address the site-specific glycosylation under biological circumstances. Likewise, novel strategies are needed to study biological interactions of particular glycoforms with the natural counterparts, capable of measuring under physiological conditions and finally, artificial inteligence will be required to enable understanding the occurrence of multiple biological conditions simultaneously. This issue shall focus on the latest advancements in the field of precise analysis of glycosylation, measurements of carbohydrate mediated interactions in a biological context and the development of machine learning algorithms to comprehensively grasp all continuously changing biofeatures.
Prof. Dr. Ricardo Gutiérrez-Gallego
Guest Editor
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Keywords
- global glycoscience
- artificial intelligence
- state-of-the art glycoanalytical tools
- structure-function analysis
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