InterlineTX

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InterlineTX

InterlineTX

@InterlineTx

Interline Therapeutics is elucidating molecular mechanisms of disease by correlating human genetics with protein community dynamics.

가입일 Nisan 2021
124 팔로잉137 팔로워
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MVermeulenLab
MVermeulenLab@LabVermeulen·
Check out our high-throughput compatible Thermal Proteome Profiling method called STPP-UP that can be used to profile the cellular targets for drug compounds in an unbiased, proteome-wide manner. Great work from Dick Zijlmans and Miguel Hernandez-Quiles jbc.org/article/S0021-…
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Ivy Zhang
Ivy Zhang@ivyzhang__·
Interested in predicting mutational impact on protein:protein binding? Our new preprint provides a workflow (using open-source software, Perses) for running free energy calculations on protein:protein complexes, focusing on diagnosis of sampling issues: biorxiv.org/content/10.110…
GIF
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Roland Dunbrack 🏳️‍🌈 @rolanddunbrack.bsky.social
Roland Dunbrack 🏳️‍🌈 @rolanddunbrack.bsky.social@RolandDunbrack·
How AlphaFold2.3 gave us an answer that 2.2 did not: Tetramer of human Protein Phosphatase 2A (light orange)+scaffold subunit (green)+substrate-determining subunit B55alpha (steel)+FAM122A (orange)- a substrate-like inhibitor. Fun collab with @GranaX_Lab biorxiv.org/content/10.110…
Roland Dunbrack 🏳️‍🌈 @rolanddunbrack.bsky.social tweet media
Roland Dunbrack 🏳️‍🌈 @rolanddunbrack.bsky.social@RolandDunbrack

Wow, #AlphaFold 2.3 is producing great results on protein complexes that did not work in 2.1 or 2.2. Previously we would get proteins or peptides not bound at all, or poor iPTM scores & inconsistent results from models 1-5. Now on several systems we get results that make sense.

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Pedro Beltrao
Pedro Beltrao@pedrobeltrao·
Now in peer-reviewed form - our study on network propagation of GWAS linked genes across >1000 human traits identifies aspects of cell biology that impact on multiple traits @ibarrioh et al. an @OpenTargets project nature.com/articles/s4158…
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Mohammed AlQuraishi
Mohammed AlQuraishi@MoAlQuraishi·
The final version of our RGN2 manuscript for single-sequence structure prediction is out in @NatureBiotech! Peer review dramatically improved this work, thanks to @fraser_lab, @thisismadani, and anonymous reviewers. For more on what’s new, see thread below by @NazimBouatta ⬇️
Nazim Bouatta@NazimBouatta

Our new approach for predicting protein 3D structure using single sequence + protein language model, w/o MSAs, is out. We combine a protein language model (AminoBERT) with a structural module using a transfer matrix formalism. (1/5)

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BIOS
BIOS@bios_community·
Builders 🧱 w/ Zach Sweeney - Co-Founder & CEO @ Interline Therapeutics Thanks @ZacharyKSweeney for sharing your story building @InterlineTx! See our episode below... ow.ly/qwWG50KMvqh
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Dana-Farber
Dana-Farber@DanaFarber·
Analysis of tumor samples from Latin American patients suggests correlation between ancestry and specific mutations in lung cancer. Findings shed light on the evolution of the disease and spur further research for disease prevention and early detection. blog.dana-farber.org/insight/2022/0…
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Ed Huttlin
Ed Huttlin@EdHuttlin·
If you’re at #bioc2022, don’t miss today’s talk at 9 AM PDT/12 PM EDT by Ludwig Geistlinger: BioPlexR and BioPlexPy: Integrated Data Products for Analysis of Human Protein-Protein Interactions
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David Nusinow
David Nusinow@dnusinow·
We're hiring! If you're a computational biologist who is excited about the opportunity to help develop medicines working at the intersection of cancer biology, proteomics, and computation I'd love to talk to you about this job opportunity! linkedin.com/jobs/view/3165…
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Foresite Labs
Foresite Labs@ForesiteLabs·
Today, we’re highlighting one of our incubated companies: @InterlineTx! Interline Therapeutics is developing novel drugs that target key drivers of inflammation and cancer. Follow Interline and learn more about the great work they’re doing 👇linkedin.com/company/interl…
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Nazim Bouatta
Nazim Bouatta@NazimBouatta·
We have completed training OpenFold: our PyTorch implementation of AlphaFold2. We are sharing the model weights, training code, and colab notebook. What we have learned should help explore variants of OpenFold. More to come!
Mohammed AlQuraishi@MoAlQuraishi

We have successfully trained OpenFold from scratch, our trainable PyTorch implementation of AlphaFold2. The new OpenFold (OF) (slightly) outperforms AlphaFold2 (AF2). I believe this is the first publicly available reproduction of AF2. We learned a lot. A🧵1/12

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Geoff Macintyre
Geoff Macintyre@gjmacintyre·
Chromosomal INstability causes chaotic cancer genomes. Making sense of this chaos was hard. Come sit around the fire and listen to our tale of The #17DeadlyCINs a gripping epic of mechanisms of CIN, therapy response prediction and drug target discovery nature.com/articles/s4158… 1/
Geoff Macintyre tweet media
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Nate Bennett
Nate Bennett@naterbennett0·
1/7 Improving de novo Protein Binder Design with Deep Learning (biorxiv.org/content/10.110…) We show that AF2 is an effective predictor of whether a de novo designed miniprotein will bind to the intended target or not.
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탐색

@DerekLowe @GranaX_Lab @ibarrioh @OpenTargets @mrcppu @iDikic2 @goetheuni @IBC2_GU