Sign in

Michael T Wolfinger

@mtwolfinger.bsky.social
48 followers 26 following 12 posts

PI • Founder RNAForecast.com • RNA enthusiast with a passion for structure, dynamics, viruses, and evolution 🧬🦠 • michaelwolfinger.com

PostsRepliesMedia
Michael T Wolfinger @mtwolfinger.bsky.social · 07/12/2025
ViennaRNA Package v2.7.1 is out! 🧬🎉 Solid update: smoother probing-informed folding (SHAPE/DMS), improved constraints handling, and nicer Python multistrand base-pair probs. Get: tbi.univie.ac.at/RNA/ Source: github.com/ViennaRNA/Vi... #ViennaRNA #RNA #ComputationalBiology #SHAPE #DMS #OpenSource
tbi.univie.ac.at
020
Michael T Wolfinger @mtwolfinger.bsky.social · 30/07/2025
Calling #RNA & #Virology researchers! 🧬🦠 Submissions are open for the open-access Special Issue '𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗥𝗡𝗔𝘀 𝗶𝗻 𝗩𝗶𝗿𝗼𝗹𝗼𝗴𝘆' in MDPI Viruses, which I'm guest editing. 📝 Original research & reviews welcome! 🗓️ Deadline: Feb 28, 2026 michaelwolfinger.com/blog/2025/bl... #FunctionalRNA #RNAstructure
michaelwolfinger.com
Functional RNAs in Virology Special Issue
MDPI Viruses has launched a new open-access Special Issue on “Functional RNAs in Virology” to highlight recent advances in understanding how RNAs act as regulatory molecule in viral infection
011
Michael T Wolfinger @mtwolfinger.bsky.social · 21/07/2025
Calling all #RNA & #AI researchers! 🧬🤖 Submissions are open for the new open‑access collection “Exploring RNA Biology with Deep Learning Algorithms” in RNA Biology that I am guest editing with @yiliangding.bsky.social & Cliff Zhang. michaelwolfinger.com/blog/2025/bl... #DeepLearning #bioinformatics
michaelwolfinger.com
Exploring RNA Biology with Deep Learning Algorithms
The RNA biology journal is launching a new open‑access article collection called “Exploring RNA Biology with Deep Learning Algorithms” to bring together the latest breakthroughs at the intersection of...
043
Michael T Wolfinger @mtwolfinger.bsky.social · 04/07/2025
Exploring RNA biology with Deep Learning Algorithms 🚀 Thrilled to guest-edit this OA collection in RNA Biology! 🧬🤖 Seeking cutting-edge work on: • AI-powered transcriptomics • RNA structure prediction • RNA–protein interaction models Submit by Nov 30 2025👇 think.taylorandfrancis.com/article_coll...
think.taylorandfrancis.com
Exploring RNA Biology with Deep Learning Algorithms
010
Reposted by Michael T Wolfinger
Vikram Agarwal @vagar.bsky.social · 29/05/2025
Some exciting news! 🥳👍 finally dropped our open-source AI model to predict translation rates from mRNA sequences online for free academic use! Hope it's widely used among RNA scientists! Code: github.com/Sanofi-Publi...; Model: zenodo.org/records/1537...; Preprint: www.biorxiv.org/content/10.1...
github.com
GitHub - Sanofi-Public/RiboNN: RiboNN: predicting translation efficiencies from mRNA sequences
RiboNN: predicting translation efficiencies from mRNA sequences - Sanofi-Public/RiboNN
1246
Reposted by Michael T Wolfinger
Danny IncaRNAto @incarnatolab.bsky.social · 15/11/2024
Fellow #RNA lovers, please repost 🙏: 2 ERC-funded Post-doc positions are available in our lab to investigate #RNA structural ensemble and their dynamics in living cells. Application link: t.co/pYJ3H3j705
t.co
https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S000B06P
03549
Michael T Wolfinger @mtwolfinger.bsky.social · 18/01/2025
Got interested? Read the full story here: academic.oup.com/bioinformati... #RNA #Biotechnology #ViennaRNA #ComputationalBiology 8/n
academic.oup.com
Modified RNAs and predictions with the ViennaRNA Package
AbstractMotivation. In living organisms, many RNA molecules are modified post-transcriptionally. This turns the widely known four-letter RNA alphabet ACGU
000
Michael T Wolfinger @mtwolfinger.bsky.social · 18/01/2025
Incorporating modified bases into #RNA structure predictions can reveal striking changes in RNA functionality. For instance, using more than 600 #tRNA sequences from tRNAdb, we've shown how modified bases significantly impact predicted structures. #Bioinformatics #SyntheticBiology 7/n
120
Michael T Wolfinger @mtwolfinger.bsky.social · 18/01/2025
If a loop lacks specific parameters, we substitute the unmodified counterpart as a fallback—making predictions more flexible and accurate. 🖥️ #NucleotideModifications #RNAComputing 6/n
100
Michael T Wolfinger @mtwolfinger.bsky.social · 18/01/2025
What makes the #ViennaRNA Package unique? 🤔 We don't rely on a pre-compiled, complete set of energy parameters for modified bases. Instead, we use a mix of hard- and soft-constraints to adjust predictions where we have parameters. #RNAScience #RNABioinformatics 5/n
100
Michael T Wolfinger @mtwolfinger.bsky.social · 18/01/2025
Did you know? The #ViennaRNA Package can handle a wide range of RNA modifications, including: #Inosine (I) #Pseudouridine (P) #N6-methyladenosine (m6A) #7-deaza-adenosine (7DA) #Nebularine (purine) #Dihydrouridine (D) #Bioinformatics #ComputationalBiology #RNAStructure #SyntheticBiology 4/n
110
Michael T Wolfinger @mtwolfinger.bsky.social · 18/01/2025
They play vital roles in regulating gene expression by influencing processes like splicing, stability, and translation. To truly understand cellular processes and disease mechanisms, we must explore how these modifications shape RNA structure and function. #ViennaRNA 3/n
110
Michael T Wolfinger @mtwolfinger.bsky.social · 18/01/2025
#RNA molecules are incredibly versatile, and one way they showcase this is through post-transcriptional modifications. These modifications expand the classic four-letter RNA alphabet (A, C, G, U) to include over 300 unique bases! 🌟 #RNAResearch #RNAEditing #LifeSciences 2/n
121
Michael T Wolfinger @mtwolfinger.bsky.social · 18/01/2025
As my first post on Bluesky, I’d like to share something I recently posted on #LinkedIn about the incredible versatility of #RNA molecules and how #modifications expand their functionality. I’ll break it down into smaller posts here—let me know what you think! 🚀 1/n
100