this is such a beautifully humbling experiment. phage ϕx174 has just 5,386 bases encoding 11 proteins—about as small and well-studied a biological system as you could ask for. mutate every nucleotide and ask what happens. even here, ~25% of damaging mutations have no mechanistic explanation. and ai predictors didn’t do particularly well. we can read biology. we can increasingly perturb biology. but we are still a long way from understanding biology. science.org/content/blog-pos…

Conservation and divergence in the allosteric architectures of five human protein kinases. Excited to share our new preprint by @Carlafolgado + @mutatoni @sangerinstitute @CRGenomica @IBV_CSIC biorxiv.org/content/10.64898…

Allostery is a widespread cause of loss-of-function variant pathogenicity by @liao_xiaotian @sangerinstitute nature.com/articles/s41467-0…

Deep Mutational Scanning at Genome Scale

ML benchmarking people be like

Complete Mutagenesis of the Genome and Proteome of ΦX174. 1st genome sequenced (Sanger 1977), 1st genome synthesised (Venter 2003), first genome + proteome fully mutated (@huijin6418 and @XianghuaLi2 2026) @CRGenomica @sangerinstitute biorxiv.org/content/10.64898…

Going from a creative idea [..you ask..] what does that predict that other ideas don't predict? And what's the fastest way we could find out that it's just completely wrong? I think that's critical and I think that doesn't come naturally to a lot of people because they become very attached to their ideas, and they want them to be correct. And that's the worst possible thing. Ideas are cheap. You have to be able to have many ideas, and most of them could be wrong. –@BenLehner, on the Night Science Podcast, episode 9

La entrevista se realiza con motivo del #CNICSeminars “Complete Allosteric Maps for Drug Discovery”. 👤 Organizado por Miguel Torres.

#InterviewsCNIC 🎙️ @BenLehner 🗣️ ‘Good governance is just as important as good science’. Ben Lehner is Head of Generative Genomics at the @sangerinstitute and Senior Group Leader at the @CRGenomica. His research combines high-throughput #genomics, protein biology, and #ArtificialIntelligence to understand how genetic variation affects protein function and drives human disease. 📰 Find out more in this #interview for #CNICPulse: cnic.es/en/noticias/ben-lehn… #Science #CardiovascularResearch #CVD

The interview is conducted on the occasion of the #CNICSeminars ‘Complete Allosteric Maps for Drug Discovery’. 👤 Organized by Miguel Torres.

1/6 🧬 Big news in genomics & synthetic biology! We @huijin6418 @BenLehner present the complete mutagenesis of both the genome and proteome of the bacteriophage ΦX174! 📖 Read the full preprint on @bioRxiv here: doi.org/10.64898/2026.07.25.…

Excited to announce #OpenSplice @gioia_40ni quantified the impact of >500,000 mutations on the alternative splicing of 600 human exons biorxiv.org/content/10.64898… results.hgi.sanger.ac.uk/Ope… @OpenTargets @sangerinstitute @CRGenomica #cshlsymp26 #RNA2026 @RNASociety

Excited to co-host #AIxBio 2026 (8–11 June) at @wellcomegenome / @sangerinstitute in Cambridge, UK! Join an amazing speaker lineup alongside co-hosts , @ferruz_noelia, Jun Cheng, Jussi Taipale @BenLehner, @deboramarks, The conference will explore five themes: 🔬 Solving the gene regulatory code 🧪 Solving proteins — data, structure and design 💊 Solving chemistry and therapeutics 🫀 Solving cells, tissues and organs ⚙️ AI methods development Abstract submissions are open — deadline 27 April 2026. Selected abstracts will be featured in the main programme alongside invited talks. Register and submit your abstract here: shorturl.at/ZlvzP #AIxBio #AI #Biology #MachineLearning #Genomics

AI x BIO 2026, 8-10 June Submit an abstract now! >450 registered last year coursesandconferences.wellco…

Meet evedesign: a new open-source ML framework that makes protein design accessible and interoperable. 📢 See our post: deboramarkslab.substack.com/… Protein design models are powerful, but combining them shouldn’t require custom glue code. ✅Combine models for multi-objective optimization ✅Integrate lab-in-the-loop experimental of data ✅100% secure: run on your own infra, no data sharing Get started building therapeutics & industrial enzymes today 👇 📄Paper: biorxiv.org/content/10.64898… 💻Code: github.com/evedesignbio 🌐Webserver: evedesign.bio Reach out to collaborate: hello@evedesign.bio

The allosteric landscape of the Src kinase by @mutatoni @aj4re @CRGenomica @sangerinstitute @ALLOXbio science.org/doi/10.1126/scia…

Come join us at the @sangerinstitute to start your lab in generative biology / AI. Sanger is core-funded so you can generate data at scale to train the next generation of models and understanding. Design/Engineering/Chemistry/Proteins/Pathways! pls RT tinyurl.com/GenGenFaculty

Self promotion - but also to say I’m very grateful to my lab who got us here, the reviewers time and the Pritzker foundation. datascience.uchicago.edu/new…

New pre-print 🧬✂️! We show that paired prime editing can efficiently generate large deletions (>1 Mb! 🤯) with high precision and at scale. We use this to perform the first pooled prime deletion screen across the human genome 👇short thread biorxiv.org/content/10.1101/…