Abstract:
:Cyclic peptides have been often utilized as metabolically stable, conformationally restricted mimics of different kinds of biologically active peptides, including peptide antibiotics, endogenous opioid peptides, integrin inhibitors, peptide hormones, anticancer peptides, and so on. And in particular, cyclic compounds which can mimic important secondary structure elements such as beta-turns are of outstanding importance. Since greater chemical and structural diversity are primary features to pursue for finding novel leads for pharmacological and biotechnological applications, we explored the potential utility of the retro-inverso modification. We introduced this modification into the sequence of 13-membered cyclotetrapeptides, which can be regarded as easily available, conformationally stable analogs of cyclotetrapeptides composed of all alpha-residues. In this paper we describe the synthesis of a selected mini-library of partially modified retro-inverso cyclic peptides as conformationally homogeneous scaffolds for medicinal chemistry applications. The different compounds have been obtained by simple scramble of the same residues. Finally, we discuss the conformational features of such molecules as turn mimics. The comparison suggests that the retro-inverso modification allows a higher degree of three-dimensional diversity than normal peptides.
journal_name
Comb Chem High Throughput Screenjournal_title
Combinatorial chemistry & high throughput screeningauthors
Gentilucci L,Cardillo G,Tolomelli A,Squassabia F,De Marco R,Chiriano Gdoi
10.2174/138620709789824754subject
Has Abstractpub_date
2009-12-01 00:00:00pages
929-39issue
10eissn
1386-2073issn
1875-5402journal_volume
12pub_type
杂志文章abstract::Among the chemometric tools used in rational drug design, we find artificial neural network methods (ANNs), a statistical learning algorithm similar to the human brain, to be quite powerful. Some ANN applications use biological and molecular data of the training series that are inserted to ensure the machine learning,...
journal_title:Combinatorial chemistry & high throughput screening
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