Deep Origin

We have several new vacancies at Deep Origin! If you're committed about advancing science and shaping future innovations, then encourage you to apply. Check out our openings below, and feel free to share with your network or anyone looking for an inspiring and dynamic team to join: 🔗 ML Researcher/Engineer – https://lnkd.in/db5kdRTe 🔗 Senior Machine Learning Engineer - https://lnkd.in/dgnA62ip 🔗 Software Engineer - https://lnkd.in/dNdMHx78 🔗 Senior Frontend Software Engineer - https://lnkd.in/dji8ANdD 🔗 Office Coordinator - https://lnkd.in/d_kytF9M 🔗 Senior Front End Engineer (React) - Onsite - https://lnkd.in/dk5wWxS2

Time to release the medicinal chemists superpower! Molecular docking, no special training required. We built one of the most performant molecular modeling algorithms available (beating out common tools like AutoDock Vina and Schrodinger’s Glide with 10-fold better enrichment factors). But as we all know, drug discovery is hard. Even 10x the needles in a haystack are hard to find. How do you magnify this 10x improvement by even more? Make your tool accessible to a wider audience. In biotechs and pharma, that means making these tools accessible to medicinal chemists. Get your first month free AND $50 free credit. https://lnkd.in/gYwqxvhk

Hot take: 10x better isn't enough for molecular modeling in drug discovery. Yes, it is a game changer that makes molecular modeling vastly better than anything available today. But it wasn't enough for us. So what is enough? Getting 10x better into 10 times more hands. In biotech that means a cutting-edge modeling tool medicinal chemists can use. That's why we're thrilled to announce Balto. Finally, a useful AI Assistant for drug discovery 👇

Looking forward to seeing all you wonderful ghouls on Wednesday at Deep Origin's Halloween Party!! https://lnkd.in/gZNgzthF? #halloween #biotech #startup #pharma #SouthSF

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 ... 🤖

In South SF on October 30th? Join us for a spooky soiree featuring: 🕸️ Spooky cocktails & mocktails 🍷 Wine & beer 🍕 Pizza party 👻 A chance to wear your favorite costume 👋 Some of the friendliest life scientists and researchers around! Sign up below by the 23rd, spots limited! https://lnkd.in/gyTgVwEB (Spooky soiree image for illustrative purposes only)

At Discovery on Target? Be sure to check out Garegin Papoian's talk "Convergence of Machine Learning and Physics in Multiscale Modeling for Accelerating Drug Discovery" this afternoon at 4:15 where he'll talk through our novel docking and virtual screening algorithms that integrate physics and AI to achieve SOTA results 💊💪 https://lnkd.in/gu4w694m

We're excited to announce that as part of Science Week Armenia 2024, Deep Origin's Armenian office will welcome guests to explore the fascinating world of drug discovery. 🧬 📅 Date: Friday, October 4th, 2024 🕓 Time: 5:00 pm 🏛 Place: Deep Origin Armenia office, 3 Hakob Hakobyan St. 🎟️ Register here: https://lnkd.in/dHsMXgAS

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 Akash Guru and Jonathan Karr from Deep Origin on September 19th at 11AM PT to learn actionable steps you can take to prepare your research and data for AI. Through the example of a gene therapy discovery program, you'll learn how to: 🔬 Design biological molecules using our integrated editors 🔬 Structure your data and metadata for AI using our powerful databases and notebooks 🔬 Visualize your data using our AI assistant 🔬 Perform sophisticated analysis such as single cell genomics analysis using our powerful workstations https://lnkd.in/gdxg5ePi

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 Akash Guru and Jonathan Karr from Deep Origin on September 19th at 11AM PT to learn actionable steps you can take to prepare your research and data for AI. Through the example of a gene therapy discovery program, you'll learn how to: 🔬 Design biological molecules using our integrated editors 🔬 Structure your data and metadata for AI using our powerful databases and notebooks 🔬 Visualize your data using our AI assistant 🔬 Perform sophisticated analysis such as single cell genomics analysis using our powerful workstations https://lnkd.in/gdxg5ePi