9DN4 image
Deposition Date 2024-09-16
Release Date 2024-09-25
Last Version Date 2025-07-02
Entry Detail
PDB ID:
9DN4
Keywords:
Title:
Crystal structure of a SARS-CoV-2 20-mer RNA in complex with FAB BL3-6S97N
Biological Source:
Expression System(s):
Method Details:
Experimental Method:
Resolution:
1.90 Å
R-Value Free:
0.22
R-Value Work:
0.17
R-Value Observed:
0.17
Space Group:
P 1 21 1
Macromolecular Entities
Polymer Type:polypeptide(L)
Molecule:FAB BL3-6S97N HEAVY CHAIN
Chain IDs:A, D
Chain Length:250
Number of Molecules:2
Biological Source:Mus musculus
Polymer Type:polypeptide(L)
Molecule:FAB BL3-6S97N LIGHT CHAIN
Chain IDs:B, C
Chain Length:233
Number of Molecules:2
Biological Source:Mus musculus
Polymer Type:polyribonucleotide
Molecule:RNA (5'-R(P*CP*UP*CP*GP*UP*CP*UP*GP*AP*AP*AP*CP*AP*CP*GP*GP*AP*GP*AP*G)-3')
Chain IDs:E, F
Chain Length:20
Number of Molecules:2
Biological Source:Severe acute respiratory syndrome coronavirus 2
Primary Citation
Mechanistic studies of small molecule ligands selective to RNA single G bulges.
Nucleic Acids Res. 53 ? ? (2025)
PMID: 40557870 DOI: 10.1093/nar/gkaf559

Abstact

Small-molecule RNA binders have emerged as an important pharmacological modality. A profound understanding of the ligand selectivity, binding mode, and influential factors governing ligand engagement with RNA targets is the foundation for rational ligand design. Here, we report a novel class of coumarin derivatives exhibiting selective binding affinity towards single G RNA bulges. Harnessing the computational power of all-atom Gaussian accelerated molecular dynamics simulations, we unveiled a rare minor groove binding mode of the ligand with a key interaction between the coumarin moiety and the G bulge. This predicted binding mode is consistent with results obtained from structure-activity relationship studies and transverse relaxation measurements by nuclear magnetic resonance spectroscopy. We further generated 444 molecular descriptors from 69 coumarin derivatives and identified key contributors to the binding events, such as charge state and planarity, by lasso (least absolute shrinkage and selection operator) regression. Our work deepened the understanding of RNA-small molecule interactions and integrated a new framework for the rational design of selective small-molecule RNA binders.

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