Dataset Information

SuperMimic--fitting peptide mimetics into protein structures.

ABSTRACT: BACKGROUND: Various experimental techniques yield peptides that are biologically active but have unfavourable pharmacological properties. The design of structurally similar organic compounds, i.e. peptide mimetics, is a challenging field in medicinal chemistry. RESULTS: SuperMimic identifies compounds that mimic parts of a protein, or positions in proteins that are suitable for inserting mimetics. The application provides libraries that contain peptidomimetic building blocks on the one hand and protein structures on the other. The search for promising peptidomimetic linkers for a given peptide is based on the superposition of the peptide with several conformers of the mimetic. New synthetic elements or proteins can be imported and used for searching. CONCLUSION: We present a graphical user interface for finding peptide mimetics that can be inserted into a protein or for fitting small molecules into a protein. Using SuperMimic, promising locations in proteins for the insertion of mimetics can be found quickly and conveniently.

SUBMITTER: Goede A

PROVIDER: S-EPMC1351258 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

SuperMimic--fitting peptide mimetics into protein structures.

Goede Andrean A Michalsky Elke E Schmidt Ulrike U Preissner Robert R

BMC bioinformatics 20060110

<h4>Background</h4>Various experimental techniques yield peptides that are biologically active but have unfavourable pharmacological properties. The design of structurally similar organic compounds, i.e. peptide mimetics, is a challenging field in medicinal chemistry.<h4>Results</h4>SuperMimic identifies compounds that mimic parts of a protein, or positions in proteins that are suitable for inserting mimetics. The application provides libraries that contain peptidomimetic building blocks on the ...[more]

PMID: 16403211

Similar Datasets

Project description:Foldamers have defined and predictable structures, improved resistance to proteolytic degradation, enhanced chemical diversity, and are versatile in their mimicry of biological molecules, making them promising candidates in biomedical and material applications. However, as natural macromolecules exhibit endless folding structures and functions, the exploration of the applications of foldamers remains crucial. As such, it is imperative to continue to discover unnatural foldameric architectures with new frameworks and molecular scaffolds. To this end, we recently developed a new class of peptidomimetics termed ″γ-AApeptides", oligomers of γ-substituted-N-acylated-N-aminoethyl amino acids, which are inspired by the chiral peptide nucleic acid backbone. To date γ-AApeptides have been shown to be resistant to proteolytic degradation and possess limitless potential to introduce chemically diverse functional groups, demonstrating promise in biomedical and material sciences. However, the structures of γ-AApeptides were initially unknown, rendering their rational design for the mimicry of a protein helical domain impossible in the beginning, which limited their potential development. To our delight, in the past few years, we have obtained a series of crystal structures of helical sulfono-γ-AApeptides, a subclass of γ-AApeptides. The single-crystal X-ray crystallography indicates that sulfono-γ-AApeptides fold into unprecedented and well-defined helices with unique helical parameters. On the basis of the well-established size, shape, and folding conformation, the design of sulfono-γ-AApeptide-based foldamers opens a new avenue for the development of alternative unnatural peptidomimetics for their potential applications in chemistry, biology, medicine, materials science, and so on.In this Account, we will outline our journey on sulfono-γ-AApeptides and their application as helical mimetics. We will first briefly introduce the design and synthetic strategy of sulfono-γ-AApeptides and then describe the crystal structures of helical sulfono-γ-AApeptides, including left-handed homogeneous sulfono-γ-AApeptides, right-handed 1:1 α/sulfono-γ-AA peptide hybrids, and right-handed 2:1 α/sulfono-γ-AA peptide hybrids. After that, we will illustrate the potential of helical sulfono-γ-AApeptides for biological applications such as the disruption of medicinally relevant protein-protein interactions (PPIs) of BCL9-β-catenin and p53-MDM2/MDMX as well as the mimicry of glucagon-like peptide 1 (GLP-1). In addition, we also exemplify their potential application in material science. We expect that this Account will shed light on the structure-based design and function of helical sulfono-γ-AApeptides, which can provide a new and alternative way to explore and generate novel foldamers with distinctive structural and functional properties.

Dataset Information

SuperMimic--fitting peptide mimetics into protein structures.

Publications

SuperMimic--fitting peptide mimetics into protein structures.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets