Aditi Merchant

32 posts

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Aditi Merchant

Aditi Merchant

@aditimerch

BioE PhD student @stanford in the Hie Lab // ML for SynBio

Katılım Nisan 2020
291 Takip Edilen798 Takipçiler
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Aditi Merchant
Aditi Merchant@aditimerch·
What if we could autocomplete DNA based on function? Today in @Nature, we share semantic design—a strategy for function-guided design with genomic language models that leverages genomic context to create de novo genes with desired functions.🧵 nature.com/articles/s4158…
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nature
nature@Nature·
Nature research paper: Semantic design of functional de novo genes from a genomic language model go.nature.com/485SnAh
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Samuel King
Samuel King@samuelhking·
Semantic design, our method leveraging contextual relationships between genes for function-guided biological sequence design, is now out in @Nature! This work was led fearlessly by @aditimerch, who inspires all of us in the lab every day. She carried out this immense project with mind-blowing speed, while graciously supporting numerous other projects and being a genuinely brilliant and kind presence. Please read more about the work in her thread below!👇
Aditi Merchant@aditimerch

What if we could autocomplete DNA based on function? Today in @Nature, we share semantic design—a strategy for function-guided design with genomic language models that leverages genomic context to create de novo genes with desired functions.🧵 nature.com/articles/s4158…

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Arc Institute
Arc Institute@arcinstitute·
Published today in @Nature, @aditimerch & researchers from the @BrianHie lab report that the large-scale genomic model, Evo, is capable of using surrounding genomic context to produce novel, functional genes, enabling an emergent approach they've termed 'semantic design'.
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Brian Hie
Brian Hie@BrianHie·
Today in @Nature, in work led by @aditimerch, we report the ability to prompt Evo to generate functional de novo genes. You shall know a gene by the company it keeps! 1/n
Brian Hie tweet media
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David Li
David Li@_David_Li·
Check out this amazing work by the incredible @aditimerch and team!! Prompting DNA language models a la guilt-by-association lets you design things that function with low seq id
Aditi Merchant@aditimerch

What if we could autocomplete DNA based on function? Today in @Nature, we share semantic design—a strategy for function-guided design with genomic language models that leverages genomic context to create de novo genes with desired functions.🧵 nature.com/articles/s4158…

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Garyk Brixi
Garyk Brixi@garykbrixi·
Context can steer Evo to generate multi-gene interactions (toxins and anti-toxins, anti-CRISPRs) that function in the lab. Many of the functional sequences have very low sequence similarity to any natural gene. Read the thread and paper Congratulations @aditimerch!
Aditi Merchant@aditimerch

What if we could autocomplete DNA based on function? Today in @Nature, we share semantic design—a strategy for function-guided design with genomic language models that leverages genomic context to create de novo genes with desired functions.🧵 nature.com/articles/s4158…

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Aditi Merchant
Aditi Merchant@aditimerch·
Together, this work suggests that genomic sequence models can meaningfully generalize beyond characterized natural evolution. Looking forward, we hope that semantic design can serve as a starting point for function-guided design and optimization of genes across biology.
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Aditi Merchant
Aditi Merchant@aditimerch·
What if we could autocomplete DNA based on function? Today in @Nature, we share semantic design—a strategy for function-guided design with genomic language models that leverages genomic context to create de novo genes with desired functions.🧵 nature.com/articles/s4158…
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Aditi Merchant
Aditi Merchant@aditimerch·
De novo antibody design with experimental success rates that require testing only tens of candidates! Such an inspiring success from the incredibly hardworking Germinal team— huge congrats!
Santiago Mille@santimillef

The ability to design antibodies against any protein of interest has major implications for medicine, biotech, and basic science. Today, we introduce Germinal, a pipeline for epitope-targeted de novo antibody design achieving  4–22% success rates with efficient experimental validation.

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