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Huge thanks to Costas,@costas_stath Junwei,@jinweizhang, Vicky, Hubert, and Ibba for organizing the 30th tRNA Conference. Extremely nice to share science and fun in Crete, Greece, with our tRNA friends and colleagues — a very comfortable and enjoyable time!
Kozo Tomita Lab: RNA Biology retweeted
Online Now: Amyloid-mediated RNA uptake by sperm for embryonic delivery dlvr.it/TW44Xs
Kozo Tomita Lab: RNA Biology retweeted
In Science, researchers present RFdiffusion3, a new generative AI system that designs proteins and nucleic acids atom by atom, which could enable the ability to engineer novel biomolecules with precise, complex functions.
Learn more: scim.ag/4hOQVIF
Nature research paper: Mechanism of spliceosome termination
go.nature.com/4jcx0Va
Kozo Tomita Lab: RNA Biology retweeted
BREAKING NEWS
The 2026 #NobelPrize in Physiology or Medicine has been awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel “for their discoveries concerning light-gated ion channels and optogenetics.”
Kozo Tomita Lab: RNA Biology retweeted
Delighted that our discovery of regulated, naturally occurring RNA phosphorothioates — in which a phosphate in the RNA backbone is replaced by sulfur — is now out! Huge kudos to @maman_alexander for leading this work, and to all our wonderful collaborators. Tweetorial below!
1/ Out today in @CellCellPress 🎉
Collaborating across three continents to study how organisms at the extremes use RNA modifications, we discovered something new: the first natural modification of the RNA backbone, phosphorothioates (PS), and their writers. With @SchragaSchwartz
Kozo Tomita Lab: RNA Biology retweeted
Chemically enhanced suppressor tRNAs combined with a lung-targeted delivery system can restore production of a critical protein in models of cystic fibrosis caused by nonsense mutations, according to a new study in Science.
📄: scim.ag/4qIAz6U
#SciencePerspective: scim.ag/4qI2iVv
Kozo Tomita Lab: RNA Biology retweeted
Happy to share our new preprint on the structure of the human mitochondrial RNA degradosome, a central player in organellar RNA metabolism!
Work led by graduate student @paulafprado in our lab.
biorxiv.org/content/10.64898…
🧵 1/9
Kozo Tomita Lab: RNA Biology retweeted
RNA molecules perform remarkably diverse roles in biology.
Accurately predicting RNA structure from sequence promises to accelerate understanding of RNA mechanisms and the design of synthetic RNA medicines and devices. However, RNA structure prediction has proven to be a formidable problem.
In a new Science study, researchers report an important assessment of state-of-the-art deep learning methods developed toward this goal.
Learn more in a new #SciencePerspective: scim.ag/4h3lr0J
Mr Zhaohang Feng, a phD student in our lab, received the Excellence Award for his presentation at the 2027 Annual Meeting of the RNA Society of Japan (rnaj.org) in Himeji. Congrats!
第27回日本RNA学会年会の青葉賞・優秀賞が決定いたしました。受賞者のみなさん、おめでとうございます!
#RNAJ2026
rnaj.org/notice/official-inf…
Kozo Tomita Lab: RNA Biology retweeted
New Online! Mitochondrial tRNA biogenesis, modifications and disease relevance dlvr.it/TThYKz
Kozo Tomita Lab: RNA Biology retweeted
On the citizen science platform Eterna, #AI methods matched expert human players at inventing sequences that fold into an RNA pseudoknot, a structure in which loops pair with distant parts of the same molecule.
This opens a route to automatically designing RNA therapeutics, sensors, and catalysts from scratch.
Learn more this week in Science: scim.ag/4wPnPwM

ALT Each diagram is a designed RNA pseudoknot, a structure in which loops pair with distant parts of the same molecule. On the citizen science platform Eterna, artificial intelligence methods matched expert human players at inventing sequences that fold into these shapes, opening a route to automatically designing RNA therapeutics, sensors, and catalysts from scratch. Image: J. Townley et al., Science 393 , 931 (2026); Adapted by N. Jessup/Science
Our paper with @eternagame, 5 AI teams, and cryo-EM collabs on de novo design of #RNA pseudoknots with #deeplearning is out in @ScienceMagazine ! Comes with a provocative commentary on RNA structure prediction by @TonyMustoe lab! doi.org/10.1126/science.aeg6… doi.org/10.1126/science.aek4…
Kozo Tomita Lab: RNA Biology retweeted
The wait ⏰ is over!
Most structure prediction tools give you 1 answer. #RNA just doesn’t work that way - it's the ultimate shapeshifter. Today, we’re launching #RNAccess by Emergente Inc. with access for academic, nonprofit, and commercial researchers.
RNAccess is powered by #RNAnneal, our physics-grounded #AI engine for #RNA structure prediction. By combining physics-based simulation with Generative AI, RNAnneal captures the structural flexibility that makes RNA both incredibly challenging—and incredibly powerful. The workflow is simple:
🧬Submit an RNA sequence of up to 100 nucleotides (long RNAs coming soon).
⚡Receive a thermodynamically ranked ensemble of high-accuracy 3D structures.
🔍Explore results through intuitive, interactive visualizations in your browser.
🦠Example: A key functional region of SARS-CoV-2 #RNA pictured below was predicted + visualized accurately in #RNAccess (with no prior knowledge, just physics!)
We built #RNAccess to make serious RNA structure prediction more accurate, accessible, and useful for researchers working across all RNA work, from fundamental discovery to applied innovations. No local compute. No pipeline setup. No coding experience needed. Not even a GPU bill - we’ve got that covered 🙇
🎓Academic/non-commercial researchers: Receive a free batch of predictions every month, with pay-as-you-go options when you need more.
🏢Commercial teams: Start with a complimentary prediction, then talk with us about evaluation, confidential use, and larger-scale applications.
📍Try RNAccess: emergente-sci.com
📍Contact: [email protected]
Come fold with us 💫
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It took a village to get this far.
Thank you to @NIH-NIGMS, @NSF -Chemistry-CTMC, TEDCO, University of Maryland Institute for Health Computing, Institute for Physical Science and Technology, Montgomery County Government, UMD Chemistry and Biochemistry, @UMDscience, @UMmedschool and many others for financial and other support.
Gratitude to leadership Bradley Maron, MD, Adam Porter, @VarshneyAmitabh, Mark T. Gladwin, MD, Martha Jurczak for their continued faith in our team at University of Maryland Institute for Health Computing and in Emergente Inc. - the first startup out of the IHC!
And finally, huge thanks to our awesome scientific advisers Robert Copeland, Jonathan Dinman and John (Jay) Schneekloth for their guidance.
We attended the 27th Annual meeting of RNA society of Japan in Himeji. Wondetful meeting as always and thank you organizers! A phD student and a postdoc from my lab presented their research.
🤖 Made with AI
Nature research paper: N4-Acetylcytidine enhances synthetic mRNA translation yield and fidelity
go.nature.com/3SDH2TT

































