Top Tweets for #RNAStructure
NCN @NCN_PL project spotlight 🔬
We investigate how mRNA folds in vivo, how its structure changes across the cell, and how RNA structure regulates gene expression in yeast. #RNA #mRNA #RNAstructure #GeneExpression #Yeast

Welcome to KPW Lab!
We are interested in how #RNAstructure influences function, stability, and interactions in the cell.
Our work connects #RNA structure probing with structural modeling and #bioinformatics. We’re excited to share our science, publications, and tools here.

(2/8) Predicting 3D #RNAstructure remains very hard, even with AI.
Recent benchmarks show deep-learning tools still struggle on novel RNAs (c.f. Bahai et al, 2024, PLoS Comp Bio)
And while AlphaFold 3 can model RNA, its accuracy lags far behind proteins: https://t.co/6FFsAUngaE

SEISMICgraph: a web-based tool for RNA structure data visualization. #RNAstructure #WebTool #DataVisualization #Bioinformatics #NAR
https://t.co/9XWevi1boT

Our #RNAstructure field is truly incredible—driven by a collaborative spirit that fuels rapid and exciting progress. ❤️
Happy to be featured in this Technology Feature by Michael Eisenstein in Nature Methods about the present and future of #RNA structure analysis, along with @ywan_wan, @RouskinLab, @JosephYesselman and many other colleagues working in this amazing field!
https://t.co/Sv4SVawBnX
Bianca will be presenting her project tonight at poster 431 at the San Diego @RNASociety meeting #RNA25 🧬🌴.
Whether you work with #RNAstructure , are curious about ways to study it or have a favourite RNA that you would like to explore come to visit poster 431!

What if #RNAstructure mattered more than sequence?
That shift is here — in RNA therapeutics, folding, accessibility & mods like m⁶A are shaping smarter design.
We’re building tools to make that possible.
Is RNA structure underused in drug design?

Missed our recent webinar on New Methods for RNA Modification Detection and Structure Probing?
Explore innovative techniques that are transforming our understanding of #RNAmods and #RNAstructure.
Watch here: https://t.co/OVt9J06gXX
#RNA #structuralRNA
RNA-Puzzles Round V tackles RNA 3D structure prediction with 23 challenging targets from viral and non-viral origins, setting new benchmarks for RNA bioinformatics. 🧬📊
#Bioinformatics #RNAstructure #ComputationalBiology
📄 https://t.co/CL6tKFLLaT
EVBC👤: Tomasz K Wireckiv
Can't wait to see what the future holds for RNA-Puzzles! We love 😍 your future directions: "...enhancing algorithmic approaches and leveraging machine learning to better understand complex RNA folding rules..."🦾 Go RNA-Puzzles 🚀 #3DRNA #RNApuzzles #RNAstructure
RNA-Puzzles Round V: blind predictions of 23 RNA structures @naturemethods
1. RNA-Puzzles Round V represents a major step forward in 3D RNA structure prediction, with 18 groups modeling 23 diverse RNA molecules across five categories, including riboswitches, ribozymes, and viral elements. This round highlighted significant advancements while underscoring challenges in achieving high accuracy.
2. Top-performing groups demonstrated remarkable consistency, with three ranking among the best in both RNA-Puzzles and CASP15 contests. Their methods emphasized statistical models, coarse-grained dynamics, and fragment-based approaches to achieve precise RNA modeling.
3. The study identified critical challenges in RNA structure prediction, such as recognizing non-Watson–Crick pairs, coaxial stacking, and avoiding entanglements. These issues significantly impact the accuracy of predicted RNA folds.
4. Among the tools evaluated, manual intervention by experts still outperformed fully automated webserver-based predictions, reflecting the complexity of RNA modeling and the need for human-guided adjustments.
5. Benchmarking using sophisticated assessment metrics, such as deformation index (DI) and interaction network fidelity (INF), provided valuable insights into structural accuracy and areas needing improvement.
6. This study pushes the boundaries of RNA modeling by emphasizing the importance of ligand interactions in functional categories like riboswitches and ribozymes. Successful models highlighted the interplay between local contacts and global architecture.
7. Future directions for the RNA-Puzzles initiative include enhancing algorithmic approaches and leveraging machine learning to better understand complex RNA folding rules, which are critical for biology and therapeutic design.
💻Code: https://t.co/zNa6i6QL7i
📜Paper: https://t.co/YVsh0IRPY5
#RNAstructure #RNAmodeling #3DRNA #Bioinformatics #RNApuzzles #StructuralBiology

@YiliangDing demonstrates importance of #RNAstructure in diverse biological processes and introduces PlantRNA-FM foundation model. #EESRNA @EMBLEvents

Join our upcoming #RNAmodifications webinar on Oct 23rd!
Learn from experts about new technologies, the challenges of detecting RNA modifications, and the role of reverse transcriptase enzymes.
Register is open! https://t.co/EJC5FzTOBK
#RNA #RNAResearch #RNAstructure

R2DT 2.0 is now live! 🎉 This major update introduces exciting new features for RNA secondary structure visualisation, making it easier than ever to explore RNA structures. Learn more in our new preprint: https://t.co/iaf2FblkP1 #RNA #RNAstructure #bioinformatics
Very excited to share our latest preprint, led by rockstar post-doc @i_borovska. Our humble attempt to begin exploring #RNA secondary structure ensembles in a living cell (https://t.co/XMHdvLLUq6) (1/n)
.@AGbioDS from https://t.co/Xh93MDy0CZ closing off this session of the @UNSWRNA annual symposium presenting his (and @oncogenie's) company, that leverages #AI to design new therapies targeting #RNAstructure and accessibility.

Thrilled to share part of my PhD published!
novel interaction between the 5′ untranslated region of the Chikungunya virus genome and Musashi RNA binding protein is essential for efficient virus genome replication https://t.co/0NHJcKXLOX
#CHIKV #arbovirus #RNAstructure
Our new study compares RNA 3D structure prediction methods, focusing on RNA-small molecule binding sites. AlphaFold 3 shows potential on the level of other ML-based methods despite some accuracy challenges. With @molecure_sa #AlphaFold #RNA #RNAstructure
https://t.co/6Q0oFrxuOB
Very excited to share our new research article at @NAR_Open ! Here, we provide the first #RNAstructure characterization of Ty3 LTR #retrotransposon genome in vivo and ex vivo!
https://t.co/seQ7rIRQXK
Please, check 🧵 below!
@KatarzynaPachu2 Lab at @ICHBPAN ✌️

Very excited to tell our story about the in vivo #RNAstructure of two LTR #retrotransposon genomes and their RNA-protein interaction 💫 #RNA2024 Meeting!
Our new work is accepted - stay tuned ❤️

If you are @RNASociety meeting, check out our posters on RNA structures of HIV Rev response element (RRE)!
@jerrichotipo on Thursday P2-#405
Keerthi Gottipati on Friday P3-#635
#RNA #RNAstructure #HIV
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