Allosteric and Energetic Remodeling by Protein Domain Extensions by @cristonah https://t.co/gaGtxCj3Ju

Under which circumstances do genomic neural networks learn motifs and their interactions? https://t.co/EfUyBQrjaX

🎲 Our paper on the genetics, energetics, and allostery in proteins with randomized cores and surfaces is out today @ScienceMagazine! 🧬 By charting a protein’s sequence universe, we could rationalize which versions were kept through evolution – and why many stable ones were not.

Only a few days left to apply to become a group leader in our Generative Biology programme at @sangerinstitute https://t.co/g7sgCt53uK

New preprint: Allostery is a widespread cause of loss-of-function variant pathogenicity by the great @liao_xiaotian https://t.co/i4T3JtEgVn.

Arriving at the airport to fly to an AI conference and this happens #AIxBio25

The evolution of allostery in a protein family. New preprint from the brilliant @ainamartiaranda. Seven complete allosteric maps.

Alzheimer’s disease 🧠starts with a molecular domino effect - but what triggers the first piece to fall? In our new study we cracked open the black box of early protein aggregation, and the findings could reshape how we fight neurodegeneration. 🧵👇 https://t.co/PQZcE4bGwN

Come and join us! We’re hiring a new Group Leader in Generative Biology at the @sangerinstitute Building AI models or the data to train them? Core funding of >$130M a year for a faculty of ~30. pls RT! https://t.co/skA0MAOTyZ https://t.co/cZ8i3TigJH

New publication. We quantify the aggregation of >100,000 random protein sequences to train CANYA, a convolution-attention hybrid neural network to predict aggregation from sequence. With @Bennibolo @CRGenomica @sangerinstitute @IBECBarcelona

I’m excited to co-host the new #AIxBio conference alongside @Avsecz, @ferruz_noelia, @pdhsu, @BenLehner, @ml19, @deboramarks, @p_tingying, @CarolineUhlerat at @wellcomegenome/ @sangerinstitute! We’ll focus on modellingz and designing DNA, RNA, proteins, and cells, as well as

Could #AI be a game-changer for #BiologicalResearch? Join us for #AIxBio25, our new conference on the transformative potential of #AI and #MachineLearning, in shaping the future of medical science. 📅Save the date: 23-25 June 2025 📎 Find out more: https://t.co/yONsRLQESs

3 great computational positions open at @ALLOXbio to work with the great @aj4re @JuliaDiumenge @pbcenturion @mseumaar

I’m delighted to share our work on scrambling the human genome using prime editing, repetitive elements, and recombinases @ScienceMagazine! @ferreira_raph_ @LeopoldParts @ProfTomEllis, @geochurch @SangerInstitute https://t.co/UtJ13iNRAq Lots of changes from the preprint. A🧵

If you’d like to work in this exciting science area, @LeopoldParts lab at the @sangerinstitute is hiring postdocs! This is all part of the new Generative and Synthetic Genomics programme with nearby @benlehner and Jussi Taipale

We are happy to share our enhancer scramble story, a strategy to create hundreds of stochastic deletions, inversions, and duplications within mammalian gene regulatory regions and associate these new architectures with gene expression levels 🧵 @LeopoldParts, Pierre Murat

Introducing Human Domainome v1, the largest and most comprehensive library of human protein variants to date, which maps the effects of +500K mutations across 522 domains. The study by @BenLehner and Toni Beltran @mutatoni is out in @Nature. ✍️ Illustration by @QueraltTolosa

Protein instability is the main driver of inherited genetic conditions, according to the largest map of protein variants to date − Human Domainome 1.0🔎 This dataset can help predict how proteins behave, paving the way for new treatments💊 https://t.co/7lIRduqP64

Site-saturation mutagenesis of 500 human protein domains:

The first ‘human domainome’ reveals the cause of a multitude of diseases. An ingenious large-scale experiment in Barcelona (by @mutatoni & @BenLehner) has led to the creation of a catalog detailing the effects of half a million DNA mutations: https://t.co/oE9kfCX2nT