Molecular insights into regulatory RNAs in the cellular machinery

S Yang, SH Kim, E Yang, M Kang, JY Joo - Experimental & Molecular …, 2024 - nature.com
It is apparent that various functional units within the cellular machinery are derived from
RNAs. The evolution of sequencing techniques has resulted in significant insights into …

Advances in the field of RNA 3D structure prediction and modeling, with purely theoretical approaches, and with the use of experimental data

S Mukherjee, SN Moafinejad, NG Badepally, K Merdas… - Structure, 2024 - cell.com
Recent advancements in RNA three-dimensional (3D) structure prediction have provided
significant insights into RNA biology, highlighting the essential role of RNA in cellular …

State-of-the-RNArt: benchmarking current methods for RNA 3D structure prediction

C Bernard, G Postic, S Ghannay… - NAR Genomics and …, 2024 - academic.oup.com
RNAs are essential molecules involved in numerous biological functions. Understanding
RNA functions requires the knowledge of their 3D structures. Computational methods have …

RNA-TorsionBERT: leveraging language models for RNA 3D torsion angles prediction

C Bernard, G Postic, S Ghannay, F Tahi - Bioinformatics, 2025 - academic.oup.com
Motivation Predicting the 3D structure of RNA is an ongoing challenge that has yet to be
completely addressed despite continuous advancements. RNA 3D structures rely on …

Has AlphaFold 3 reached its success for RNAs?

C Bernard, G Postic, S Ghannay, F Tahi - bioRxiv, 2024 - biorxiv.org
Predicting the 3D structure of RNA is a significant challenge despite ongoing advancements
in the field. Although AlphaFold has successfully addressed this problem for proteins, RNA …

RDesign: hierarchical data-efficient representation learning for tertiary structure-based RNA design

C Tan, Y Zhang, Z Gao, B Hu, S Li, Z Liu… - arxiv preprint arxiv …, 2023 - arxiv.org
While artificial intelligence has made remarkable strides in revealing the relationship
between biological macromolecules' primary sequence and tertiary structure, designing …

Generative artificial intelligence for computational chemistry: a roadmap to predicting emergent phenomena

P Tiwary, L Herron, R John, S Lee, D Sanwal… - arxiv preprint arxiv …, 2024 - arxiv.org
The recent surge in Generative Artificial Intelligence (AI) has introduced exciting possibilities
for computational chemistry. Generative AI methods have made significant progress in …

Has AlphaFold3 achieved success for RNA?

C Bernard, G Postic, S Ghannay… - Biological Crystallography, 2025 - journals.iucr.org
Predicting the 3D structure of RNA is a significant challenge despite ongoing advancements
in the field. Although AlphaFold has successfully addressed this problem for proteins, RNA …

Towards Data-efficient RNA Design Based on Tertiary Structure

Y Zhang - 2024 - escholarship.mcgill.ca
L'ARN (acide ribonucléique) aide chaque organisme à vivre. Il régule l'expression des
gènes, catalyse des réactions biochimiques importantes et aide à initier la réplication de …