It shouldn't take 10 years to deliver one drug. Time to un#uck life sciences and put the scientist first. Let's untangle the complexity of life.
Terra. And South San Francisco
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What's better than 10x performance of major molecular modeling tools? Getting it into 10x as many hands. That's why we're thrilled to announce Balto. Finally, a useful AI Assistant for drug discovery 👇
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We've got some exciting news in the works. But first, some backstory on what we've been working on, including what happens when three chemists go on a hike ... 🤖
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Much as AlphaFold was made possible due to well-structured and annotated data from the Protein Data Bank, structuring and annotating your own data is critical to enabling your breakthrough discoveries.
Join us on September 19th at 11AM PT!
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The Deep Origin OS is growing up! We're thrilled to announce our open beta, which helps life science researchers turn diverse data into insights in minutes.
For a limited time we're offering free access to the platform, sign up below 👇
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Loved this recent conversation between Arkadi Mazin from Lifespan.io and Deep Origin CEO Michael Antonov on the largest challenges and cutting-edge of #longevity and #drugDiscovery 🙌
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Despite breakthrough models of the last year, fundamental challenges stand in the way of leveraging AI for bio. That's why we made our end-to-end platform for life science research.
Read more on some of the fundamental problems we're aiming to solve 👇
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How will AI impact the future of health and longevity? Checkout this recent feature of Deep Origin Co-Founder and CEO as he talks about his days at Oculus VR, investments into life science companies, and why he founded Deep Origin 👇
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We received a lot of love for our intro to Seurat - so we updated it to make it even more comprehensive!
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Keen on computational research but get stuck? Check out our beginner-friendly tutorial on Seurat for many core bioinformatics processes 👇
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Check out Deep Origin's Jonathan Karr on best practices and a hands-on tutorial for building operating systems for hashtag#lifeScience using hashtag#Docker 👇
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Particularly in light of all the #AlphaFold talk, we wanted to spill the beans on what we've been working on 🎉
Read more below 👇
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We're thrilled to announce Balto, the world's first AI assistant for drug discovery!
Balto provides viable hits for drug discovery programs faster, more accurately, and easier than ever before. It's as simple as a conversation.
Sign up today 👇
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Small molecule drug discovery can be hard!
It's a Friday afternoon but here's where our head is at at Deep Origin 👇
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What are the top challenges in small molecule #drugDiscovery? Where do computational methods help, and what are their shortcomings?
Deep Origin experts Natalie Ma, PhD and Tigran M. Abramyan weigh in our 4-part series:
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Join us for our May 2nd webinar where we'll provide an actionable introduction to computational drug discovery!
In particular we'll pursue a protein target exploration with tools like UniProt, RCSB PDB, ChEMBL, PyMOL, and GROMACS
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From the "We are made of star stuff" file:
Protein reaction times remain remarkably stable across a range of species we last shared a common ancestor with over 700 million years ago 🤯
Is this the start of "molecular paleontology"?
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To commemorate our new Deep Origin office #Armenia, we're hosting an in-person life science coding competition! 🦠 👨💻
Find out more details and sign up with your 1-4 member teams below 👇
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#BioInformatics #hackathon #competition #drugDiscovery
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Our own Michael and Garyk talking about their common vision of making drug discovery faster and better and why now is the best time to shake things up.
🚀 Generative AI + physics-based modeling = better drug discovery
Guests this week from Deep Origin founded by theoretical chemist Garegin Papoian and software builder Michael Antonov
🎧 Tune in to EP 132 on @ApplePodcasts @Spotify @YouTube and more
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Incredible breakthrough in understanding how HIV breaks into the nucleus of a cell, enabling it to replicate and spread. Simulating HIV to better understand how it infects cells is critical to combat a tricky, deadly virus.
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