Back

Pan-Viral Conformational Landscapes of Frameshifting Elements Reveal Length-Dependent Plasticity and Antisense-Driven Structural Reprogramming

Adhikary, K.; Dey, A.

2026-05-15 bioinformatics
10.64898/2026.05.13.724818 bioRxiv
Show abstract

Programmed ribosomal frameshifting (PRF) is an essential strategy used by many RNA viruses to expand their coding capacity within compact genomes. This process is governed by frameshifting elements (FSEs), specialized RNA structures that regulate translation through dynamic secondary and tertiary conformations. While the structural adaptability of the SARS-CoV-2 FSE has been extensively characterized, the conformational landscapes of FSEs across other pathogenic viruses remain poorly understood. Here, we present a comparative structural analysis of FSEs from Japanese Encephalitis Virus (JEV), West Nile Virus (WNV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) using integrative computational modeling and molecular simulations. Our analysis reveals previously uncharacterized, virus-specific conformational ensembles, alongside a conserved core architecture that exhibits pronounced length-dependent structural plasticity. Extension of flanking sequences induces substantial conformational rearrangements, highlighting the role of sequence context in shaping FSE topology and potentially modulating PRF efficiency. Importantly, we demonstrate that antisense oligonucleotide (ASO) binding can reprogram FSE architectures, disrupting native structural motifs and stabilizing alternative conformations with altered thermodynamic stability. Collectively, these findings establish viral FSEs as dynamic RNA ensembles governed by sequence context and external interactions, and position ASO-mediated structural perturbation as a promising strategy for modulating frameshifting and viral gene expression.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Nucleic Acids Research
1128 papers in training set
Top 0.3%
22.4%
2
Nature Communications
4913 papers in training set
Top 14%
12.3%
3
Advanced Science
249 papers in training set
Top 2%
7.1%
4
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 12%
6.3%
5
Nano Letters
63 papers in training set
Top 0.7%
4.1%
50% of probability mass above
6
Molecular Cell
308 papers in training set
Top 5%
3.1%
7
Protein & Cell
25 papers in training set
Top 0.7%
2.9%
8
Cell Systems
167 papers in training set
Top 5%
2.6%
9
Science Advances
1098 papers in training set
Top 12%
2.3%
10
Cell Reports
1338 papers in training set
Top 21%
2.1%
11
eLife
5422 papers in training set
Top 38%
1.9%
12
Science
429 papers in training set
Top 14%
1.7%
13
Journal of Molecular Biology
217 papers in training set
Top 2%
1.5%
14
Cell Chemical Biology
81 papers in training set
Top 2%
1.5%
15
Cell
370 papers in training set
Top 13%
1.5%
16
Nature Chemical Biology
104 papers in training set
Top 2%
1.5%
17
Computational and Structural Biotechnology Journal
216 papers in training set
Top 6%
1.2%
18
Nature Biotechnology
147 papers in training set
Top 6%
1.2%
19
Structure
175 papers in training set
Top 3%
0.9%
20
iScience
1063 papers in training set
Top 27%
0.9%
21
PLOS Computational Biology
1633 papers in training set
Top 22%
0.9%
22
Cell Genomics
162 papers in training set
Top 6%
0.8%
23
PLOS Pathogens
721 papers in training set
Top 8%
0.8%
24
Nature Structural & Molecular Biology
218 papers in training set
Top 5%
0.7%
25
Cell Reports Physical Science
18 papers in training set
Top 1%
0.6%
26
JACS Au
35 papers in training set
Top 1%
0.6%