
PhD student @TheSainsburyLab studying NLR bioengineering & computational prediction of immune receptor activities w/ @KamounLab. 🇦🇷🇮🇹🇦🇲🏳️🌈 views my own
Norwich, UK
Joined July 2020
- Tweets685
- Following718
- Followers898
- Likes4.6K
Andy Posbe retweeted
This is what a communal brain—a central tenet of the IPD approach—looks like in action. 🧠
We're thrilled to present RFD4-Proteina, co-developed with @NVIDIAHealth! Can't wait to see what you build: rfd4-proteina.org/
🧬 Design proteins faster and send fewer, better candidates to the lab.
Introducing RFD4-Proteina, a new NVIDIA BioNeMo open model co-developed with @UWproteindesign.
▫️Fast: 13× faster generation than RFdiffusion3 at 200 residues
▫️ Smart: state-of-the-art across 12+ protein design tasks
▫️ Programmable: set your design inputs and use test-time compute on harder problems
Start with our binder-design tutorial nvda.ws/3VK9Uvr
Andy Posbe retweeted
Replying to @ClemMarchal
@ClemMarchal presenting the gamechanging Pikobody tech at #ICBPI2026 in Nanjing! It's so cool to see how much this technology has developed in the last few years 🤯
science.org/doi/10.1126/scie…
Andy Posbe retweeted
Excited to share this bioRxiv where we characterise the interaction between the Magnaporthe Zinc finger fold effector (Tie1) to a family of rice transcription factors called the Tubby-like F-box proteins (TLPs)! biorxiv.org/content/10.64898…
Andy Posbe retweeted
Thank you Sophien and everyone in the Kamoun Lab for such a rewarding experience! I'm truly grateful for all the support, kindness and mentorship 🥹🫶🏻
So happy to have been part of the lab's history!
Farewell Maian @mai_garro for an incredibly successful postdoc before the PhD (aka predoc). Mai is moving next door to start a PhD in the renowned rotation program @JohnInnesCentre @TheSainsburyLab
Thank you for your many contributions to our lab and research! 🔬 🧐 🧫 🌱 🇦🇷
Andy Posbe retweeted
Farewell Maian @mai_garro for an incredibly successful postdoc before the PhD (aka predoc). Mai is moving next door to start a PhD in the renowned rotation program @JohnInnesCentre @TheSainsburyLab
Thank you for your many contributions to our lab and research! 🔬 🧐 🧫 🌱 🇦🇷
Andy Posbe retweeted
Excited to share our latest work! 🍅
Two evolutionarily distinct immune receptors recognize the same viral target, yet differ in their recognition spectra.
A fascinating example of convergent evolution in plant immunity!
🍅 Tomato brown rugose fruit virus spread worldwide.
For >60 years, one resistance gene protected tomatoes. This virus broke through.
A second gene confers resistance. Same viral target? Convergent evolution?
Preprint: biorxiv.org/content/10.64898…
#EvoMPMI #NLRbiology
(1/9) 🧵
Andy Posbe retweeted
We’re announcing the second challenge in our Protein Design Competition, co-hosted with Anthropic. This time, you have to design binders against TNFα, a well-known target with an even better known therapeutic (Humira).
Compared to last week’s EGFR, now the challenge is designing a binder at pH 7.4 that no longer binds at 6.0. This is the endosome’s pH, triggering the release of the binder and “recycling” so it can neutralize more TNFα. Binders also have to be cross-specific to the mouse target.
Submit your designs by October 11th 23:59 AoE!
-- Animation made with Claude Sonnet 5.5, the goodest of models :)
Announcing Challenge 2 of the Anthropic x Adaptyv Protein Design Competition!
Humira, the best-selling drug ever, blocks TNF-α, an inflammation marker protein that’s overexpressed in rheumatoid arthritis and Crohn’s disease. In this challenge, the goal is to make a better binder for TNF-α that also releases selectively at pH 6.0 in the endosome of cells to improve drug half-life.
The protein must also bind both human and mouse TNF-α, making it easier to test the same design in preclinical models.
Andy Posbe retweeted
LIVIA has a new intro video, made by Claude Opus 5.5 in Claude Code. When the biosafety filter stays quiet, Claude is quite nice.
Webtool: flyark.github.io/LIVIA/unive…
Preprint: doi.org/10.64898/2026.05.01.…
🚀 New tool out! LIVIA (Local Interaction Visualization and Analysis) — a browser-based tool for assessing and visualizing predicted protein-protein interactions.
Drop in a prediction from AlphaFold-Multimer, AF3, ColabFold, Boltz-1/2, Chai-1, or OpenFold3 (ZIP or folder, auto-detected) and LIVIA answers the two questions you actually care about:
▸ Do these proteins interact?
▸ Which residues form the interface?
What you get:
▸ Interface confidence scores — iLIS (our local metric), ipSAE, actifpTM, ipTM
▸ Interaction interface heatmaps (PAE, LIS, cLIS)
▸ Sequence viewer + linear & circular contact maps highlighting Local Interaction Residues (LIR) and contact LIR (cLIR)
▸ Embedded Mol* 3D viewer
▸ Downloadable ChimeraX & PyMOL scripts
Also fetches dimers directly from the AlphaFold Database — adding the interface annotations AFDB doesn't provide.
Everything runs locally in your browser. No install, no upload.
LIVIA started as a personal tool — I built it with Claude Code and used it to make every structure figure in our FlyPredictome preprint (Kim et al., 2026). (Claude Code is truly insane...) Along the way I realized it could be useful for others, too.
If you have a favorite color palette for structure visualization, please let me know — happy to add it as a preset 🎨
🔗 LIVIA tool: flyark.github.io/LIVIA
🐍 iLIS / batch CLI: github.com/flyark/AFM-LIS
📄 LIVIA preprint: biorxiv.org/content/10.64898…
📄 FlyPredictome preprint: biorxiv.org/content/10.64898…
Andy Posbe retweeted
ʙɪɴᴅᴄʀᴀꜰᴛ2 now designs almost any binder format:
-mini & large binders
-linear & cyclic peptides
-VHHs, scFvs & Fabs
-ankyrin repeat proteins (ARPs)
-homo-oligomers & multidomain binders
-induced-fit & fold-switch binders
Andy Posbe retweeted
We built a custom integrated engine that makes ʙɪɴᴅᴄʀᴀꜰᴛ2 dramatically faster than v1.
And it isn't limited to structured domains: you can target disordered regions, short linear motifs, or a target given as a bare sequence.
Andy Posbe retweeted
Back from the @GetGenome workshop in Tunisia 🇹🇳. Initiatives like this have a huge impact on young scientists with limited resources. Deeply inspiring, Science shouldn't have borders!!!🚀💡Thanks for the invitation and the experience!
#DirectImpactScience
getgenome.net/
Andy Posbe retweeted
Thank you, Javier, for joining us !! It was a real pleasure meeting you 🤩
Next challenge: mastering the Tunisian dialect… 😂😉
Back from the @GetGenome workshop in Tunisia 🇹🇳. Initiatives like this have a huge impact on young scientists with limited resources. Deeply inspiring, Science shouldn't have borders!!!🚀💡Thanks for the invitation and the experience!
#DirectImpactScience
getgenome.net/
Andy Posbe retweeted
Two seemingly unrelated sides of our lab collided today in the AWESOME new Angiosperm Phylogeny Group system poster: flowers 🌸 and phylogenomics 🧬
Need a new genome? Just pick up the phone and “dial-a-genome” 📞🧬 @GetGenome
tudelft.nl/en/hortus-botanic…
Andy Posbe retweeted
ʙɪɴᴅᴄʀᴀꜰᴛ2 is out, and we're not waiting for the paper. The full code drops today, free for academic and industry use.
We're releasing it early so you can start designing right now, and bring its full power to the current Adaptyv competition.
github.com/PacesaLab/BindCra…
Andy Posbe retweeted
More brik danouni…
Tunisia: an Argentinian dream?
Brik danouni--ancestral state of empanadas...? 🇹🇳🇪🇸🇦🇷 elsursf.com/blogs/news/a-bri…
Andy Posbe retweeted
Happening now @EspaceZmorda 🇹🇳
AI in Genomics workshop!
@GetGenome @TheSainsburyLab on how AI can be used across genomics — from working with genomic data to protein structure prediction, biological discovery and developing new research questions.
Andy Posbe retweeted
Brik danouni--ancestral state of empanadas...? 🇹🇳🇪🇸🇦🇷 elsursf.com/blogs/news/a-bri…
Andy Posbe retweeted
Excited to share this pre-print from my PhD work! We explore a Pmk1-Mst12-Bip1 network required for appressorium-mediated infection by the blast fungus 🌾 biorxiv.org/content/10.6... Thread 👇
Andy Posbe retweeted
We just published: Fold on Tight — 10 lessons on AI structure prediction
Andy Posbe @adnroide turned our ten lessons on AI structure prediction into a thread. Here it is, one lesson at a time.
kamounlab.medium.com/fold-on…
Andy Posbe retweeted
Replying to @adnroide
Can I add a Lesson 11: don't use ipTM. It has artifacts when proteins have extra non-interacting domains or disordered regions. Use ipSAE or LIS which filter out the poor PAE regions and focus on the well predicted parts of the interaction.











































