RT @Mattmcpartlon1: It's been a privilege work alongside the most uniquely talented group of individuals I've ever encountered on this brea….

RT @deboramarks: How can we use #GenerativeAI for #ProteinDesign? - check out work from our labs @deboramarks and @yaringal ..

RT @NotinPascal: Want to catch up with the rapid progress in ML for functional protein design? Not sure where to start?.Check out our revie….

RT @eLife: New microscopy technology enables nanoscale imaging of centimetre-scale tissues, making it possible to image the entire expanded….

RT @kasiakready: New preprint out!. Babies are born to breastfeed. While 50% of lactating persons struggle to make enough milk, there are….

RT @roseorenbuch: Announcing popEVE - a deep generative model of the human proteome that reveal over a hundred novel genes involved in rare….

Excited to debut our work: ML methods that accelerate the development of proteins of interest into full-fledged therapeutics. By making proteins safer, faster, we hope to expand the space of therapies in the clinic!.

RT @ImranSHaque: But if we show all the gene knockouts ordered by genomic position, a curious pattern emerges: CRISPR knockouts look more s….

RT @NthadaniN: We’ve updated our EVEscape paper with more SARS2 retrospective evaluation and potential use-cases! C….

RT @NthadaniN: Can one anticipate viral evolution enough to support timely intervention? Check out our new preprint on forecasting antibody….

The author recommends some charities with data-supported high impact:. a stand-out to me, just $100 de-WORMS 100 children! removes these things!

In wealthy countries with sanitary childbirthing, nutrition, vaccination, child mortality is 1/50th that in poor countries. Our World in Data shows that low income is massively correlated with high child mortality:.

Until recent history, ~50% of children used to die before 5 years old. With modern understanding of sanitation, nutrition, and vaccination, that number is down to 4%. (1) What a pitch for studying biology and medicine!.(2) We can and must lower that number!.

RT @london_lab: Our new paper is out in @nchembio where we describe our journey from a #covalent fragment screen to an in vivo active Pin1….

By sequencing bat viruses, we could have spotted SARS-CoV-2 predecessors decades before the outbreak. Now 500,000+ SARS-CoV-2 genomes have been sequenced, sampled from humans. We also need that thorough sequencing applied to disease vectors like bats!.

Keeping that in mind- SARS-CoV-2 didn't evolve rapidly out of the blue, instead very similar Coronaviruses to SARS-CoV-2 have been gradually evolving for centuries.

Analyzing Coronavirus genomes, Boni et al predict that the viruses that became SARS-CoV-2 branched off from those that became SARS-CoV-1 likely in the middle ages. and SARS-CoV-2 branched from the nearest bat coronavirus likely 50 years ago.

RT @davidrliu: Today we report the use of base editing in patient-derived cells and in mice to correct the most common cause of progeria, t….

RT @Jonnygfrazer: 1/n I'm excited to share our preprint *Large-scale clinical interpretation of genetic variants using evolutionary data an….

Natural seq models are good at predicting pathogenic mutants- often better than wet-lab assays! @Jonnygfrazer @MafaldaFigDias @NotinPascal @deboramarks classify 72,000 variants of unknown significance across human genome (& in total, 4x that in ClinVar!)