Sera from patients suffering from autoimmune disorders often contain multiple types of autoantibodies, some of which can be exclusive of a disease and thus used as biomarkers for diagnosis. Identification of these autoantibodies, as disease biomarkers, should be achieved using native antigens in simple biological assays. However, posttranslational modifications, such as glycosylation, may play a fundamental role for specific autoantibody recognition. In line with these observations, we described synthetic glycopeptides able to detect high autoantibody titers in sera of patients affected by multiple sclerosis, an inflammatory, demyelinating disease of the central nervous system. We describe here the conformation-activity relationship of a focused library of glycopeptides based on structural diversity, with the aim of defining the structural requirements for the interaction of these glycopeptide antigens with specific autoantibodies. The final goal is the optimization of an antigenic probe for multiple sclerosis, to be used in the development of a simple diagnostic test based on an immunoenzymatic assay. The reported results clearly indicate that glycopeptides able to reveal high antibody titers in multiple sclerosis sera are characterized by a type I' beta-turn around the minimal epitope Asn(Glc), which allows an efficient exposure of this moiety to antibodies interactions, in the context of a solid-phase immunoenzymatic assay.