Xaira Therapeutics’ cover photo
Xaira Therapeutics

Xaira Therapeutics

Biotechnology Research

Brisbane, CA 34,317 followers

an integrated biotechnology company driving advances in AI to transform how we treat disease.

About us

Xaira Therapeutics is an integrated biotechnology company driving advances in artificial intelligence to learn the language of life and transform how we treat disease. The company seeks to rethink the drug discovery and development process from end-to-end by bringing together leading talent across three core areas: machine learning research to better understand biology, expansive data generation to power new models, and robust therapeutic product development to treat disease. Xaira is headquartered in the San Francisco Bay Area.

Industry
Biotechnology Research
Company size
51-200 employees
Headquarters
Brisbane, CA
Type
Privately Held
Founded
2023

Locations

Employees at Xaira Therapeutics

Updates

  • Xaira Therapeutics reposted this

    View profile for Marc Tessier-Lavigne

    Chief Executive Officer at Xaira Therapeutics

    Congratulations to Xaira Therapeutics cofounder David Baker, and cofounders and Xaira team members Nathaniel Bennett, Joe Watson, Philip Leung and Buwei Huang and their colleagues on their publication in Nature Magazine demonstrating de novo design of antibodies using generative AI — a version of RFDiffusion fine tuned for antibody generation: https://lnkd.in/drn64WTV. Their work is enabling the systematic design of antibodies to specific epitopes. At Xaira Therapeutics we're extending this substantially for the purpose of generating therapeutic-grade antibodies against traditionally undruggable targets. This is an exciting time for the field and is just the beginning of what AI-driven molecule design can achieve.

  • Xaira Therapeutics reposted this

    View profile for Bo Wang

    SVP and Head of Biomedical AI @ Xaira Therapeutics; Chief Artificial Intelligence Scientist @ UHN; Associate Professor @ University of Toronto; CIFAR AI Chair @ Vector Institute ; Twitter : @BoWang87

    🔬 Can AI capture the mind-boggling complexity of a human cell? That’s the question posed by a fascinating Science article published this week: 👉 Can AI capture the mind-boggling complexity of a human cell? https://lnkd.in/gnA8KE_N I was honoured to be quoted in it — and I couldn’t agree more with the central premise: Building a virtual cell isn’t just about mimicking biology — it’s about discovering new biology. The piece captures a pivotal moment for our field. For decades, biology has been largely descriptive: sequencing genes, mapping proteins, imaging cells. Now, with the rise of foundation models and large-scale perturbation data, we’re entering an era where we can begin to predict and reason about cellular behavior — across DNA, RNA, proteins, and phenotypes — directly in silico. At Xaira Therapeutics , and in my academic lab at University Health Network , we’re deeply invested in this vision. From scGPT (single-cell foundation model) to BioReason (LLM-driven biological reasoning) to upcoming virtual cell frameworks trained on genome-wide perturbations, we’re seeing the early formation of what could become a living simulation of human biology. Still, as the article rightly notes, we’re only scratching the surface. Key challenges remain: • Integrating multi-modal and time-series data at scale • Embedding causal, mechanistic priors into deep learning models • Developing robust biological benchmarks (beyond “accuracy” or “R²”) • Ensuring interpretability, reproducibility, and ethical use The journey toward a true virtual cell will demand collaboration across AI, biology, and medicine — and a shared commitment to scientific rigour. I’m thrilled to see Science spotlight this frontier. The conversation is no longer if we can build a virtual cell, but how we do it responsibly and meaningfully. 🧬 Let’s build the future of biological intelligence, one cell at a time. #AI #VirtualCell #ComputationalBiology #FoundationModels #BiomedicalAI #Genomics #scGPT #BioReason #XairaTherapeutics

  • Xaira Therapeutics reposted this

    View profile for Jeff Jonker

    President & COO of Xaira, Board Member & Advisor

    Ci Chu and I had the opportunity to speak with David Wild of Citeline about how Xaira Therapeutics is rethinking the foundations of drug discovery by generating large-scale, perturbational data that reveal causal linkages in biology. Virtual cell models hold enormous promise to make research faster and more incisive, thereby improving the translatability of biological insights. At Xaira, we believe that understanding disease mechanisms at this depth is what will ultimately change the economics of R&D and, more importantly, unlock new treatments for patients. Grateful to David and Citeline for including Xaira in this thoughtful look at how the “virtual cell revolution” is taking shape across the field. Read the full story here: https://lnkd.in/gdn3BGt9

  • Xaira Therapeutics reposted this

    View profile for Marc Tessier-Lavigne

    Chief Executive Officer at Xaira Therapeutics

    It was great to have Jensen Huang pop in during our panel at #NVIDIAGTC. We had a terrific discussion on “AI for Science and Quantum,” hosted by Brad Gerstner and Patrick Moorhead. I had the opportunity to highlight three ways AI is transforming drug discovery: 1️⃣ Streamlining logistics — from clinical trial design to identifying patients, and filing reports to the FDA 2️⃣ Accelerating molecular design — instead of screening for drugs, we’re designing drugs 3️⃣ Deepening our understanding of human disease — uncovering which biological pathways and diseases to pursue, and which patients are most likely to benefit. It was inspiring to share the stage with Anirudh Devgan (Cadence), George Church (Lila Sciences), and Matthew Kinsella (Infleqtion). Grateful to Jensen and the NVIDIA team for convening such a dynamic exchange of ideas at the intersection of AI, biology, and quantum innovation. 

  • Xaira Therapeutics reposted this

    View profile for Bo Wang

    SVP and Head of Biomedical AI @ Xaira Therapeutics; Chief Artificial Intelligence Scientist @ UHN; Associate Professor @ University of Toronto; CIFAR AI Chair @ Vector Institute ; Twitter : @BoWang87

    Cells don’t just exist — they talk, signal, and collaborate. Thrilled to share that our paper “GraphComm: A graph-based deep learning method for predicting cell–cell communication from single-cell RNA sequencing data” is now published in Nature Scientific Reports! 🎉 Understanding how cells “talk” to each other—how ligands and receptors connect across cell types—is key to unlocking insights in tissue organization, disease progression, and therapeutic targeting. GraphComm introduces a new graph-based deep learning framework that learns these intricate cellular conversations by integrating: --Single-cell RNA-seq data with OmniPath’s 30,000+ validated protein–protein and ligand–receptor interactions --Graph Attention Networks (GATs) to model both intracellular and intercellular communication --Context-aware predictions across diverse datasets — from embryonic mouse brain and lung cancer perturbations to spatial transcriptomics in human hearts Our results show that GraphComm can: --Recover validated ligand–receptor interactions with high biological relevance --Capture how drug perturbations reshape communication networks --Detect spatially adjacent cellular interactions linked to fibrosis and ischemia --Perform on par with or better than existing CCC tools across multiple benchmarks This work bridges graph learning and cell biology to uncover the “social networks” of cells—an important step toward computationally modeling multicellular systems. Huge congratulations to first author Emily So, and thanks to Sikander Hayat, Sisira Kadambat Nair, Benjamin Haibe-Kains, and everyone at the University Health Network Vector Institute, and University of Toronto who contributed to this collaboration. 📄 Read the open-access article here: https://lnkd.in/ghd57Jh7 💻 Code & reproducible notebooks: https://lnkd.in/gE6RxN_M

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  • Xaira Therapeutics reposted this

    View profile for Marc Tessier-Lavigne

    Chief Executive Officer at Xaira Therapeutics

    Excited to be speaking at NVIDIA GTC Live in Washington, DC.   We're living through a remarkable moment where AI is genuinely changing how science gets done. In the life sciences, activities that used to take years—understanding protein structures, modeling complex biological systems, designing drugs—continue to accelerate.   Looking forward to the conversation and hearing from the other panelists on the progress ahead.   #NVIDIAGTC

  • Xaira Therapeutics reposted this

    View profile for Marc Tessier-Lavigne

    Chief Executive Officer at Xaira Therapeutics

    Huge breakthrough in using pioneering cell-penetrating peptide technology to target a major intracellular cancer target that has resisted drugging for decades. A major scientific advance and a great win for patients. Congratulations to the entire the Parabilis Medicines team including Parabilis CEO and Xaira Therapeutics director Mathai Mammen, M.D., Ph.D. and Parabilis founder and visionary Greg Verdine!

    View profile for Mathai Mammen, M.D., Ph.D.

    Chairman/CEO, Parabilis Medicines; Former EVP R&D, Johnson & Johnson

    Today is a special day – the type that reminds you why you chose a career in making medicines that change people’s lives. At #ESMO25, Parabilis Medicines shared the first-ever clinical evidence that our lead investigational therapy, FOG-001, can directly & beneficially inhibit the elusive β-catenin:TCF complex, the key node in the Wnt/β-catenin pathway, implicated in millions of cancer cases every year. 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: For 30+ years, the Wnt/β-catenin pathway has been recognized as one of the most important drivers of a range of rare & common cancers. But its flat, intracellular protein interfaces have resisted every attempt at therapeutic modulation, remaining out of reach for traditional small molecules & antibodies despite heroic efforts across industry. Desmoid tumors – which can cause tremendous pain, immobility & suffering — arise from activating β-catenin mutations or APC loss. This floods cells with β-catenin & drives transcription via TCF, making the β-catenin:TCF interface an ideal intervention point, yet it's never been drugged—until now. 𝗢𝘂𝗿 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: Helicons™, our class of stabilized α-helical peptides, were built to overcome those barriers—guided by a decade of know-how and customized AI algorithms & physics-based computational models. Their astronomical diversity, derived from thousands of non-canonical amino acid side chains, allows us to design potent & highly selective compounds that bind “flat” surfaces after gently entering cells—enabling us to engage targets once thought beyond reach. 𝗪𝗵𝗮𝘁 𝗪𝗲 𝗦𝗮𝘄: Our first preliminary data from our FOG-001 Phase 1/2 study across tumor types showed: ·      Tumor reductions in every desmoid patient evaluated ·      80% objective response rate in patients with multiple post-baseline scans ·      Acceptable safety and tolerability to date This moment is a testament to the vision & perseverance of Greg Verdine—the founder of Parabilis (then FOG Pharma)—whose foundational work at Harvard in constrained peptides, unwillingness to accept industry convention, & conviction that these targets could be drugged made this milestone possible. It’s also a testament to the Parabilis team’s persistence, creativity & conviction in bringing this science to life—to our many partners, and to the physicians, nurses & especially the patients who are participating in our trials. I am so proud of our amazing team. Breakthroughs like this are exceedingly rare. They’re exhilarating & humbling. Most importantly, they have the potential to change the lives of patients, their families & their communities. We’re just getting started. Read our announcement at the link in comments & look for additional data across tumors at AACR-NCI-EORTC #Targets25 & #PCFRetreat next week & in the weeks ahead at #CTOS2025 & #SNO2025. ESMO - European Society for Medical Oncology #Oncology #CancerResearch #Biotech #DrugDiscovery #WntPathway #PeptideTherapeutics #CreatingExtraordinaryMedicines

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  • Xaira Therapeutics reposted this

    We had teriffic turnout and fantastic feedback on our recent webinar given by Ci Chu, PhD, Vice President of Early Discovery at Xaira Therapeutics! If you missed it, never fear, it is now on demand! 🖥️ For a deep dive into how next-generation perturbation datasets are enabling more predictive AI in biology, watch now: https://lnkd.in/gu7Hts8D Twist Bioscience, Xaira Therapeutics

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  • What’s the next moonshot for AI in biomedicine?   Our own Bo Wang, SVP & Head of Biomedical AI at Xaira, is joining Endpoints News #AIDay2025 to explore what’s hype versus what’s real, and where this technology might take the industry next.    Don’t miss this conversation on the bold ideas shaping the future of medicine. 👉 Register here: https://lnkd.in/eKQ-NxUj

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  • At Xaira, we're using AI to fundamentally reimagine drug development—tackling previously “undruggable” targets and deconstructing disease, with the aim of delivering more medicines to patients faster.    Our co-founder, chairman, and CEO Marc Tessier-Lavigne recently spoke at The AI Conference in San Francisco about how generative AI is transforming biology and medicine from the ground up.   Proud to be part of advancing this conversation and the future of drug discovery.

    View profile for Marc Tessier-Lavigne

    Chief Executive Officer at Xaira Therapeutics

    Joining The AI Conference in San Francisco was a reminder of just how far we’ve come—and how much further we can go—with generative AI in drug discovery and development. Beyond accelerating progress, AI is unlocking new biological possibilities, enabling us to take on “undruggable” targets, and transforming every stage of development. From target identification to smarter trial design, the potential to transform outcomes for patients worldwide is extraordinary. Thank you to my fellow panelist, Sheraz Khan of Pfizer, for the thoughtful exchange, and to our moderator, Johnny Hu, for leading such a rich discussion.

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