Nathanael Rollins retweeted
Zero-shot antibody design in a 24-well plate @chaidiscovery
1. Researchers have introduced Chai-2, a multimodal generative model that marks a significant leap in de novo antibody and miniprotein design. This platform achieves an impressive 16% hit rate in de novo antibody design, which represents over a 100-fold improvement compared to previous computational methods.
2. Chai-2 also demonstrates a 68% wet-lab success rate in miniprotein design, consistently yielding picomolar binders. This high success rate enables rapid experimental validation and characterization of novel antibodies within two weeks, accelerating the drug discovery timeline.
3. The model was prompted to design up to 20 antibodies or nanobodies for 52 diverse targets, none of which had pre-existing binders in the Protein Data Bank. Remarkably, at least one successful hit was found for 50% of these targets in just a single round of experimental testing, often with strong affinities and favorable drug-like profiles.
4. Chai-2 facilitates a complete workflow from AI design to wet-lab validation in under two weeks, enabling discovery in a single 24-well plate. This drastically reduces experimental timelines from months or years to just weeks, tightening the design-validation feedback loop.
5. A key innovation of Chai-2 is its ability to perform "zero-shot" design, generating candidate binders for any specified binding site with just a few residues and without requiring a known starting binder. It can also generate sequences in various modalities, including scFv antibodies, VHH domains, or minibinders.
6. The platform successfully designed the first computationally designed hit against TNFα, a challenging target previously considered intractable for computational protein design due to its highly flat and polar binding site.
7. The designed antibodies are novel and diverse, confirmed by structural and sequence analysis, and exhibit favorable developability profiles. Chai-2 also allows for the optimization of designs for specific therapeutic requirements, such as species cross-reactivity.
📜Paper: biorxiv.org/content/10.1101/…
#AntibodyDesign #ProteinDesign #AIDrugDiscovery #ComputationalBiology #Biologics #Chai2 #DeNovoDesign #DrugDiscovery
Nathanael Rollins retweeted
It's been a privilege work alongside the most uniquely talented group of individuals I've ever encountered on this breakthrough result
@Kevin_E_Wu, @_nathanrollins, @j_boitreaud, @danny_nkjg, @jackdent , @joshim5, @ZhuoranQ and others. You all made this possible!
Nathanael Rollins retweeted
How can we use #GenerativeAI for #ProteinDesign? - check out work from our labs @deboramarks and @yaringal
nature.com/articles/s41587-0…
Nathanael Rollins retweeted
Want to catch up with the rapid progress in ML for functional protein design? Not sure where to start?
Check out our review in Nature Biotech! #ProteinDesign #NatureBiotechnology #Cover
The February issue, with a focus on protein engineering, is live nature.com/nbt/volumes/42/is…
Our cover shows the three data types key to machine learning for functional protein design: structure, sequence and labels, from a Review by Notin et al. go.nature.com/49EPi9x
Nathanael Rollins retweeted
New microscopy technology enables nanoscale imaging of centimetre-scale tissues, making it possible to image the entire expanded mouse brain at cellular and subcellular resolution. #ReviewedPreprint elifesciences.org/reviewed-p…
Nathanael Rollins retweeted
New preprint out!
Babies are born to breastfeed.
While 50% of lactating persons struggle to make enough milk, there are no FDA-approved drugs to enhance lactation.
We engineered a long-acting prolactin, Prolactin-XL,
to enhance milk production.
bit.ly/prolactin-XL
1/14
Nathanael Rollins retweeted
Announcing popEVE - a deep generative model of the human proteome that reveal over a hundred novel genes involved in rare genetic disorders medrxiv.org/cgi/content/shor… @Jonnygfrazer @aaronkollasch @H__Spinner @c_sheare @MafaldaFigDias @deboramarks
explore at pop.evemodel.org
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!
We're looking forward to presenting preclinical data describing the application of our IMPACT platform at PEGS Boston 2023 #PEGS23 next week, the world’s largest gathering of protein engineering and biotherapeutics experts. #WeAreSesimic
seismictx.com/seismic-therap…
Nathanael Rollins retweeted
But if we show all the gene knockouts ordered by genomic position, a curious pattern emerges: CRISPR knockouts look more similar to KOs on the same chrom. arm than to KOs on other arms –producing a striking image of a genome-wide CRISPR map in which genome structure is obvious!
Nathanael Rollins retweeted
We’ve updated our EVEscape paper with more SARS2 retrospective evaluation and potential use-cases! biorxiv.org/content/10.1101/… Collaborators @sarahgurev @NotinPascal @nooryoussef03 @_nathanrollins @sandercbio @yaringal (@OATML_Oxford), @deboramarks, 🧵1/4
Nathanael Rollins retweeted
Can one anticipate viral evolution enough to support timely intervention? Check out our new preprint on forecasting antibody escape
biorxiv.org/content/10.1101/… With @sarahgurev @NotinPascal @nooryoussef03 @_nathanrollins @sandercbio @yaringal (@OATML_Oxford), @deboramarks, 🧵1/10
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!
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:
ourworldindata.org/child-mor…
The author recommends some charities with data-supported high impact:
givewell.org/charities/top-c…
..a stand-out to me, just $100 de-WORMS 100 children! removes these things! en.wikipedia.org/wiki/Ascari…
Nathanael Rollins retweeted
Our new paper is out in @nchembio where we describe our journey from a #covalent fragment screen to an in vivo active Pin1 inhibitor. nature.com/articles/s41589-0…
Below is a musical abstract guest-starring @UriAlonWeizmann and a tweetorial 1/n
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.
nature.com/articles/s41564-0…
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.
Nathanael Rollins retweeted
Today we report the use of base editing in patient-derived cells and in mice to correct the most common cause of progeria, the devastating rapid aging disease. Progeria is typically caused by a dominant negative C•G-to-T•A point mutation in LMNA. 1/11 drive.google.com/file/d/1oH4…
Nathanael Rollins retweeted
1/n I'm excited to share our preprint *Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning* biorxiv.org/content/10.1101/… from a great collab with @NotinPascal @MafaldaFigDias @AidanNGomez @kpgbrock @yaringal (@OATML_Oxford) @deboramarks 🧵
























