By Luke Y.L.

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35 B. 39 III. 40 A. 40 B. 41 IV. 43 V. 44 A. 45 B. 47 VI. 51 Combinatorial and computational methodologies, for the design and the synthesis of peptide and peptidomimetic analogs, represent a powerful tool in the search of novel bioactive molecules for therapeutic intervention in disease. The rapid improvement of these technologies, including in silico rational molecular design, innovative solid and solution phase processes, and effective no time-consuming high throughput screening (HTS), has demanded the creation of a broad spectrum of new molecular entities for discovering new drugs or/and materials.

Furthermore, conjugate glycopeptides have been employed as immunomodulators in many immunological investigations where synthetic glycopeptides, coupled to other proteins have led to identification of novel and powerful selective ligands or antigens [7, 8]. II. GLYCOPEPTIDES SYNTHESIS Several combinatorial approaches for the synthesis of glyco-amino acids have been developed, due to the complexity of carbohydrate conjugates. The synthetic challenge is to get access to these building blocks by automated synthesis in order to generate glycopeptides library, to fully understand their biological roles and to widen their use in medicinal chemistry.

They are peptido-organic molecules, containing non-peptidic structural elements, including sugar, nucleosidic or lipidic moieties, that are capable of mimicking or antagonizing the biological action(s) of natural parent peptide molecules, imitating the template peptides, but lacking the peptidic bonds. Therefore, peptidomimetics are not substrate of proteases, and are likely to be active in vivo for a longer period of time as compared to the template peptides. In addition, they might be less antigenic and might show an overall higher bioavailability.

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