@InterlineTx

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

Joined April 2021
  • Tweets59
  • Following122
  • Followers136
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InterlineTX retweeted
Thomä Lab@LabThoma23 Oct 2023
An excellent perspective on the personalities of #molecularglues, thanks for covering our work @Dereklowe!
Zuzanna Kozicka@zkozicka23 Oct 2023
Thank you @Dereklowe @ScienceMagazine for featuring our recent work on the blog - a great commentary piece about the various prejudices that new molecular glue discoveries help us overcome science.org/content/blog-pos…

Glues And Their Personalities

Glues And Their Personalities

science.org
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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/S0021-9258(2…

STPP-UP: An alternative method for drug target identification using protein thermal stability

Thermal proteome profiling (TPP) has significantly advanced the field of drug discovery by facilitating proteome-wide identification of drug targets and off-targets. However, TPP has not been widely...

jbc.org
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InterlineTX retweeted
Ivy Zhang@ivyzhang__9 Mar 2023
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/10.1101/…
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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/10.1101/…
Roland Dunbrack 🏳️‍🌈 @rolanddunbrack.bsky.social@RolandDunbrack23 Feb 2023
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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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/s41588-0…

Network expansion of genetic associations defines a pleiotropy map of human cell biology

Nature Genetics - Network expansion of trait-associated genes for 1,002 human phenotypes identifies pleiotropic gene modules and biological processes associated with multiple traits, and potential...

nature.com
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📢 The Louis-Jeantet Foundation is happy to announce the 2023 #LouisJeantetPrizes, awarded to DARIO ALESSI @mrcppu and jointly to IVAN ĐIKIĆ @iDikic2 @goetheuni @IBC2_GU and BRENDA SCHULMAN @MPI_Biochem CONGRATULATIONS! 👉 jeantet.ch/en 👇 follow thread
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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@NazimBouatta4 Oct 2022
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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InterlineTX retweeted
BIOS@bios_community19 Sep 2022
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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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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InterlineTX retweeted
BIOS@bios_community13 Sep 2022
Grand Challenges Facing Life Sciences 🔬 Hear from Vik Bajaj (@vik_bajaj) - Managing Director @ @ForesiteCapital Shoutout @ForesiteLabs companies @_Alumis, @InterlineTx, @SestinaB, @tensixteenbio, among others! Watch BIOS Highlights to learn more... ow.ly/yzPe50KHnQ5
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#CryoEM structure of CUL7 reveals how it teams up with CUL1 to form an active #ubiquitin E3 ligase. Check out the latest paper @NatureSMB from Schulman lab @MPI_Biochem. @LinusHopf @KheewoongBaek ➡️nature.com/articles/s41594-0…
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InterlineTX retweeted
Dana-Farber
@DanaFarber13 Aug 2022
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…

Study Points to Link Between Genetic Ancestry and Genetic Signature of Lung Cancer

Published: July 5, 2022Key Takeaways: Analysis of tumor samples from 1,150 Latin American patients suggests correlation between ancestry and specific mutations in lung cancer. Findings may shed light...

blog.dana-farber.org
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InterlineTX retweeted
Ed Huttlin@EdHuttlin29 Jul 2022
Check out the talk, then try these tools yourself! BioPlexR: bioconductor.org/packages/Bi… BioPlexPy: pypi.org/project/bioplexpy
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InterlineTX retweeted
Ed Huttlin@EdHuttlin29 Jul 2022
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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InterlineTX retweeted
David Nusinow@dnusinow29 Jul 2022
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/31655…

Senior Scientist Jobs in United States (10,000+ Open Roles) | LinkedIn

Today's top 10,000+ Senior Scientist jobs in United States. Leverage your professional network, and get hired. New Senior Scientist jobs added daily.

linkedin.com
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Help us hack the human body! 😉 Join the @proteinatlas and @_hubmap competition at @kaggle and develop #MachineLearning models for segmentation of functional tissue units from microscope images. kaggle.com/competitions/hubm…

HuBMAP + HPA - Hacking the Human Body

Segment multi-organ functional tissue units

kaggle.com
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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/interli…

Interline Therapeutics | LinkedIn

Interline Therapeutics | 3,112 followers on LinkedIn. We are leveraging advances in genomics, proteomics and computational chemistry to identify new medicines | Interline Therapeutics is a drug...

linkedin.com
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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
@MoAlQuraishi22 Jun 2022
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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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/s41586-0… 1/
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1/7 Improving de novo Protein Binder Design with Deep Learning (biorxiv.org/content/10.1101/…) We show that AF2 is an effective predictor of whether a de novo designed miniprotein will bind to the intended target or not.

Improving de novo Protein Binder Design with Deep Learning

We explore the improvement of energy-based protein binder design using deep learning. We find that using AlphaFold2 or RoseTTAFold to assess the probability that a designed sequence adopts the...

biorxiv.org
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