Literature DB >> 31239053

Design of RNA-targeting macrocyclic peptides.

Matthew J Walker1, Gabriele Varani2.   

Abstract

RNA structures play a pivotal role in many biological processes and the progression of human disease, making them an attractive target for therapeutic development. Often RNA structures operate through the formation of complexes with RNA-binding proteins, however, much like protein-protein interactions, RNA-protein interactions span large surface areas and often lack traditional druggable properties, making it challenging to target them with small molecules. Peptides provide much greater surface areas and therefore greater potential for forming specific and high affinity interactions with RNA. In this chapter, we discuss our approach for engineering peptides that bind to structured RNAs by highlighting methods and design strategies from previous successful projects aimed at inhibiting the HIV Tat-TAR interaction and the biogenesis of oncogenic microRNAs.
© 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Beta-hairpins; Macrocyclic peptides; NMR; Peptidomimetics; RNA; Structure-based design

Mesh:

Substances:

Year:  2019        PMID: 31239053      PMCID: PMC6814141          DOI: 10.1016/bs.mie.2019.04.029

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  82 in total

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2.  Alpha helix-RNA major groove recognition in an HIV-1 rev peptide-RRE RNA complex.

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Review 5.  Origins and Mechanisms of miRNAs and siRNAs.

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Review 6.  Approaches for enhancing oral bioavailability of peptides and proteins.

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7.  Structural mimicry of retroviral tat proteins by constrained beta-hairpin peptidomimetics: ligands with high affinity and selectivity for viral TAR RNA regulatory elements.

Authors:  Zafiria Athanassiou; Ricardo L A Dias; Kerstin Moehle; Neil Dobson; Gabriele Varani; John A Robinson
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8.  HIV-1 tat protein stimulates transcription by binding to a U-rich bulge in the stem of the TAR RNA structure.

Authors:  C Dingwall; I Ernberg; M J Gait; S M Green; S Heaphy; J Karn; A D Lowe; M Singh; M A Skinner
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Review 9.  Principles for targeting RNA with drug-like small molecules.

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10.  miRBase: annotating high confidence microRNAs using deep sequencing data.

Authors:  Ana Kozomara; Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2013-11-25       Impact factor: 16.971

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Review 3.  Recent Progress Using De Novo Design to Study Protein Structure, Design and Binding Interactions.

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