Isabelle Zane

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Isabelle Zane

Isabelle Zane

@isabellease

PhDing @sangerinstitute @Cambridge_Uni, im evolving every day

Cambridge, England Katılım Şubat 2021
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Isabelle Zane
Isabelle Zane@isabellease·
For years, dog scientists have known that food appears in bowls or rains from the sky, but the exact source and mechanism is unknown. Buster et al observed that barking at an intermediate volume correlates with food appearance, but only at certain times of the day. #sciart
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Sourish Jasti
Sourish Jasti@SourishJasti·
1/ General-purpose robotics is the rare technological frontier where the US / China started at roughly the same time and there's no clear winner yet. To better understand the landscape, @zoeytang_1007, @intelchentwo, @vishnuman0 and I spent the last ~8 weeks creating a deep dive on humanoid robotics hardware and flew to China to see the supply chain firsthand. Here's everything we've created + our takeaways about the components, humanoid comparisons, supply chains, and geopolitics👇
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Eric Gilliam
Eric Gilliam@eric_is_weird·
BBNs built the ARPAnet and autonomous vehicles, but the R&D model went out of style. Could it still work today? I spent 2025 focused on this experiment. First results are in: it’s working! That’s why @janellehmtam and I are raising a fund to double down🧵freaktakes.com/p/the-bbn-fund
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Eryney
Eryney@eryney_ok·
I remember when I was in college there was an obsession with gold nanoparticles. Like every chemistry journal was flooded with methods for synthesizing or using them, you would’ve thought it was gonna be a Nobel prize worthy discovery. But then it just like, stopped. I’m not a chemist, so I have no real insight for why this was or what happened. To complete the meme: You don’t hear much about gold nanoparticles anymore. Lesson in there somewhere.
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Aashay Sanghvi@aashaysanghvi_

You don't hear much about 'nanotechnology' anymore

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Isabelle Zane
Isabelle Zane@isabellease·
@iskander this is such a good idea i cant believe it doesnt already exist
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alex rubinsteyn
alex rubinsteyn@iskander·
git for clinical trials main branch: master Protocol feature branch: sub-study merge: amend the master protocol after sub-study succeeds
GIF
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Celine Halioua
Celine Halioua@celinehalioua·
our dog longevity drug LOY-002 has earned FDA safety approval we now have 2 of 3 major sections of our New Animal Drug Application complete (!) if (when) we earn FDA manufacturing approval, Loyal will launch the *first FDA-approved lifespan extension drug*
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Peter E Cavanagh
Peter E Cavanagh@PeterECavanagh·
Excited to share this work on biasing protein conformational occupancy, now out in @ScienceMagazine, co-led with Andrew Xue. Check out Alice's thread, and video (x.com/aliceyting/sta…) I want to expand on a few things we learned along the way.. 1/9
Alice Ting@aliceyting

Can we design mutations that predictably bias proteins towards desired conformational states? Today in @ScienceMagazine, we introduce Conformational Biasing (CB), a simple and scalable computational method that uses contrastive scoring by inverse folding models to identify conformation-biasing mutations. science.org/doi/10.1126/sc…

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Alice Ting
Alice Ting@aliceyting·
Can we design mutations that predictably bias proteins towards desired conformational states? Today in @ScienceMagazine, we introduce Conformational Biasing (CB), a simple and scalable computational method that uses contrastive scoring by inverse folding models to identify conformation-biasing mutations. science.org/doi/10.1126/sc…
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Eryney
Eryney@eryney_ok·
You don't hear much about systems biology anymore. Lesson in there somewhere.
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Richard Fuisz
Richard Fuisz@richardfuisz·
Magnets are a wonderful way to activate drugs, because static magnetic fields are harmless to normal biology. We get these effects from static magnetic fields, which do not heat tissue or generate electric fields. (5/9) #magnet-demo" target="_blank" rel="nofollow noopener">nonfictionlaboratories.com/#magnet-demo
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Isabelle Zane
Isabelle Zane@isabellease·
In Shanghai, bought 30 eggs for 9.99 Yuan (1.42 USD)
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Tamara Winter
Tamara Winter@tamarawinter·
1/ Today @stripepress is releasing the first two mini-documentaries in a series we’re calling Tacit. They’re vignettes of craftspeople who provide a pretty compelling answer to the question, “after AI, does mastery still matter?” This episode features Christophe Laudamiel, master perfumer at Osmo. Christophe is the creator or co-creator of dozens of scents, most notably, Polo Blue by Ralph Lauren, Abercrombie Fierce, and Tom Ford Amber Absolute. We spent a week with Christophe, following him from his office, to his home (which too, looks suspiciously like an office), observing him as he built fragrances essentially from scratch, isolated problematic notes (TIL: certain fragrance notes, when put together, can produce an unfortunate ‘wet dog’ smell), and even discovered new molecules. Christophe is an archetype of individual we’re obsessed with: *he’s* obsessed with mastery for its own sake. For the past 30 years he’s been at the forefront of perfumery, and now he wonders if and how computers can augment his craft.
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Tracy Alloway
Tracy Alloway@tracyalloway·
NEW ODD LOTS It's @dawallach on biotech investing He explains to me & @TheStalwart what makes biotech VC so different, what it takes to get a new medicine to market, & the business model of medical innovation (plus there's a little musical performance) podcasts.apple.com/us/podcast/d-a…
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Brady Johnston
Brady Johnston@bradyajohnston·
If there is big biotech announcement happening, #MolecularNodes is being used for it. I only had the realisation in the past day, but it's strange to have my software very quickly become the visual face for $100M announcements and massive scientific breakthroughs.
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Isabelle Zane
Isabelle Zane@isabellease·
@TensorTwerker there are many papers that look at energetic frustration in proteins :) some people try to measure frustration in proteins too
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Isabelle Zane
Isabelle Zane@isabellease·
@TensorTwerker it still optimises for lowest energy, but as you said lowest energy doesnt always mean the best function - in protein science this is called “frustration” where you cant always optimise folding and function using the same function
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nabbo (bio/acc)
nabbo (bio/acc)@TensorTwerker·
if protein folding is governed by free-energy minimization, yet a fold is only “correct” when it performs a specific biological function, then what does the energy landscape is actually optimizing?
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