InterlinkedTx

ML derived hypotheses and in silico screening; de-risking experiments by prioritization of endpoint specific hypotheses.

[InterlinkedTx @InterlinkedTx]

@DrSamuelBHume Ok, did you test it?

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@Satpathology Doesn’t an increase in success result in an increase of speed?

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@agupta What a wild time to be bringing up these stats

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@hasantoxr How incredibly pathetic

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@Neesh774 How sad

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@SickosCommittee Corey, Trevor. Smokes, lets go

[Jason Sheltzer @JSheltzer]

Let’s play a little game.

Let’s say that you’re the CSO at a cancer pharma company, and you have to choose a target to go after.

Here’s a gene – high expression is associated with poor prognosis in brain cancer. Looks like a good candidate for an inhibitor right?

[InterlinkedTx @InterlinkedTx]

@tombogert https://t.co/2lw1b8cSc8

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@johnohallman lol. Lmao, even

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@karpathy LOL, are you serious?

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@KRHornberger @ArvinasInc Congrats, and great work, Keith!

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@sama press 'X' to doubt

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@andrewwhite01 More open source data. Uniformly captured and diverse data

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@andrewwhite01 Spoiler alert: it won’t be good

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This is wild

[Gabriel Ilharco @gabriel_ilharco]

Introducing task vectors!

A new way to steer models by doing arithmetic with model weights. Subtract to make models forget, add to make them learn

📜: https://t.co/YNQvdYtdSN
🖥️: https://t.co/CVFM68u322

[BindingDB @BindingDb]

We recently curated one of the most generous ever binding datasets, 10.1007/s10822-022-00478-x, a lovely contribution from Roche and CCDC. Affinities for 1162 PDE10A inhibitors and xtal structures for 77 of them.

Download the data as SDfile or TSV here: https://t.co/LA7jZ43Y4R

[InterlinkedTx @InterlinkedTx]

Excited to see our platforms identification of IL23R as novel target in AML

[ASH @ASH_hematology]

The #ASH22 abstracts are now LIVE! Check them out: https://t.co/f2Fz9tOGWo

Let us know which abstract you’re most excited about with a reply or quote tweet 🤩

[InterlinkedTx @InterlinkedTx]

@levie Congrats, you made a lizard

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@zkEnrique7 @HartungIngo aryl chloride

[Rommie Amaro @RommieAmaro]

SEEKR (Simulation Enhanced Estimation of Kinetic Rates) is a multiscale method 🤩 that uses rigid-body Brownian dynamics (BrownDye2) at far distances & fully-flexible molecular dynamics when ligand-receptor are close

& milestoning theory to combine them...