SONATA BIS from the @NCN_PL ($1.2M) to launch a new RNA design lab to build AI models grounded in experimental data at the Centrum Nowych Technologii @UniWarszawski.
Hiring: Experimental Postdoc (SELEX) & Bioinformatics / AI (postdoc and PhD)
[email protected]#rna
Two PhD positions available now!
(1) Programme number: DSMBBC/2026/02
Title: RIBO-ICE: Ribosomes and Translation. Protein biosynthesis in cold, a study of Antarctic bacteria
(2) Programme number: DSMBBC/2026/03
Title: Global pausing of translation during early sporulation in Bacillus subtilis – research on the role in translation regulation and mechanism of action.
Apply now! https://t.co/KnSPuxa2VA
Excited to have @edric_choi present his latest work on RNA chemical mapping at the CASP Nucleic Acids Reading Group!
Thursday April 16 2026 on Zoom; Pacific Daylight Saving Time 8 am / Eastern Daylight Saving Time 11 am -- free to attend and full of interactive discussions.
Hi Nucleic Acid enthusiasts,
#rna#rnastructure#rnadesign
Tomorrow I will be speaking at the Institute of Genetics and Biotechnology seminar at the University of Warsaw about our work on OpenRNAFold and new research directions in the Magnus lab. The seminar will be held online (see link below).
Eastern Daylight Saving Time 8:30 am / Central European Time: 1:30 pm
OpenRNAFold: an end-to-end approach for RNA 3D structure prediction
Abstract:
RNA plays central roles in gene expression as messenger RNA and in many biological processes as structured non-coding RNAs. Understanding these functions requires knowledge of RNA tertiary structure, but experimental structure determination is slow and expensive, leading to a large gap between sequence and structure data.
Inspired by advances in protein structure prediction, such as AlphaFold, RNA structure prediction has attracted growing interest. However, current deep learning models for RNA often report inflated accuracy due to structural overlap between training and test sets. Early benchmarks also indicate that AlphaFold3 remains inaccurate for RNA structures.
Because RNA structures are scarce, we focus on two essentials: carefully curated training data to prevent data leakage (RNA3DB, Szikszai, et al., 2024), and high-quality sequence alignments (https://t.co/moDhGc4dfu, Magnus, et al., 2025). Using these datasets and alignments, we are currently testing our own AlphaFold-based RNA model that explicitly emphasizes base pairing and RNA geometry.
This work aims to improve RNA 3D structure prediction and is being evaluated in upcoming blind challenges such as CASP and RNA-Puzzles. It will also serve as a platform for further deep learning developments in RNA design and therapeutics in my Laboratory of RNA Design and Therapeutics at CeNT, University of Warsaw, scheduled to open in mid-2026.
Thursday March 27 2026 on Google Meet
https://t.co/DGsDU40aM2
We had a great session at our RNA CASP SIG featuring prof. Tiwary talking about his method that brings together deep learning, molecular dynamics, and statistical physics to understand structural ensembles of RNA, not just single structures. RNA function depends on dynamic 3D conformations, yet most approaches still focus on static predictions.
RNAnneal addresses this by generating diverse structural ensembles from sequence, learning thermodynamic representations in a reduced latent space (PCA + SPIB), and scoring conformations via a probabilistic framework grounded in physics.
This is a clear step toward physisc-aware RNA modeling, where capturing interactions, heterogeneity, and thermodynamics becomes central, especially for applications like RNA-targeted drug discovery and functional RNA design.
#rna #casprnasig #rnastructure
https://t.co/kcd7Hq5WGf
Come learn about super interesting and cool DNA structure at our nucleic acid structure webinar by Cameron Mackereth "Unusual DNA architecture in a dopamine-bound aptamer complex" on March 5
Meeting ID: 934 4593 5624
Passcode: 802843
Mailing list: https://t.co/39RLIa5ISW
PyMOL4RNA: colorbyrmsd to spot differences between structures. It is especially useful for visually highlighting local and global deviations between reference RNAs and predicted models. #rnatools hashtag#rna hashtag#rnastructure https://t.co/vqcsuQZDQd
In ~20h Please join us for an exciting seminar by Dr Yun-Xing Wang, this Wednesday 26th November 8am Pacific. This seminar will not be recorded and is on Wednesday (not Thursday which is US thanksgiving) on zoom.
Please join us for our next seminar, featuring Danny IncaRNAto, PhD: “Discovery of RNA regulatory structural switches via ensemble mapping” @incaRNAtolab#rna#casprnasig#rnastructure
Dear nucleic acid enthusiasts!
Our next webinar this Thursday, October 2nd, by Prof. Debswapna Bhattacharya. This seminar will not be recorded.
Title: RNAbpFlow: Base pair-augmented SE(3)-flow matching for conditional RNA 3D structure generation
Join us!
Join is in 24h for a talk on RNA3D structure: EvryRNA tools with a special focus on RNAdvisor: an RNA structural quality assessment tool
Thursday, September 18; Eastern Daylight Time 11 am #rna#casprnasig#rnastructure
What do you prefer? 👉 every .cif/.pdb file with its own 3D thumbnail preview 📷 or the default macOS/Linux icon for all? With the latest RNA-tools fix, you can now visualize CIF files directly - each structure gets its own preview. #rnatools
What do you prefer? 👉 every .cif/.pdb file with its own 3D thumbnail preview 👉 or the default macOS/Linux icon for all?
With the latest RNA-tools fix, you can now visualize CIF files directly - each structure gets its own preview. #rnatools