Revealing the Potential of a Chimaera: a Peptide‐Peptide Nucleic Acid Molecule Designed To Interact with the SARS‐CoV‐2 Nucleocapsid Protein

Numerous RNA-binding proteins have modular structures with folded domains and intrinsically disordered regions, making their atomic characterization difficult. This severely limits the investigation of their modalities of interaction as well as the evaluation of possible ways to interfere with this process. We report herein a rational strategy for the design and synthesis of a ligand able to interfere with the protein function, monitoring the interaction through solution nuclear magnetic resonance spectroscopy. Our approach employs a chimaera composed of two different fragments, a peptide and a peptide-nucleic acid, allowing to incorporate in the resulting molecule key features to address RNA-protein interactions. Focusing on two constructs of the Nucleocapsid protein from SARS-CoV-2, the globular N-terminal domain and a more extended one comprising also two flanking intrinsically disordered regions, we demonstrate the enhanced affinity of the designed peptide-peptide nucleic acid chimaera for the protein compared to a related peptide lacking π-π stacking contributions within the chain. Furthermore, we emphasize the increasingly recognized relevant and synergistic role of the intrinsically disordered regions in protein-ligand interaction.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-02-06
DOI
https://doi.org/10.1002/anie.202420134
Citations
4
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
6.87

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revealing the Potential of a Chimaera: a Peptide‐Peptide Nucleic Acid Molecule Designed To Interact with the SARS‐CoV‐2 Nucleocapsid Protein

Anna Maria Papini, Roberta Pierattelli, L. Pacini, Isabella C. Felli et al.
4 citations
Angewandte Chemie International Edition
Bacteriophages and microbial interactions
6.87
article

Revealing the Potential of a Chimaera: a Peptide‐Peptide Nucleic Acid Molecule Designed To Interact with the SARS‐CoV‐2 Nucleocapsid Protein

Anna Maria Papini, Roberta Pierattelli, L. Pacini, Isabella C. Felli, Marco Schiavina, Michael Quagliata, Angela Tino
article en
4 citations

Abstract

Numerous RNA-binding proteins have modular structures with folded domains and intrinsically disordered regions, making their atomic characterization difficult. This severely limits the investigation of their modalities of interaction as well as the evaluation of possible ways to interfere with this process. We report herein a rational strategy for the design and synthesis of a ligand able to interfere with the protein function, monitoring the interaction through solution nuclear magnetic resonance spectroscopy. Our approach employs a chimaera composed of two different fragments, a peptide and a peptide-nucleic acid, allowing to incorporate in the resulting molecule key features to address RNA-protein interactions. Focusing on two constructs of the Nucleocapsid protein from SARS-CoV-2, the globular N-terminal domain and a more extended one comprising also two flanking intrinsically disordered regions, we demonstrate the enhanced affinity of the designed peptide-peptide nucleic acid chimaera for the protein compared to a related peptide lacking π-π stacking contributions within the chain. Furthermore, we emphasize the increasingly recognized relevant and synergistic role of the intrinsically disordered regions in protein-ligand interaction.

Angewandte Chemie International EditionVol. 64(11)
Interuniversity Consortium for Magnetic Resonance (IT), University of Florence (IT)
Dipartimenti di Eccellenza, European Commission, Ministero della Salute, Università degli Studi di Firenze
Openalex Percentile: Top 4%
Bacteriophages and microbial interactions
6.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.