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Research progress, product updates and industry exchanges at MolPE.

2026

  1. MolPE × BEYOND 2026: See You in Macao!

    MolPE has prepared 20 visitor passes, valued at RMB 499 each, all given away for free — don't miss out!

  2. See You in Hong Kong, May 11–12!

    Find us at booth ASGH 3F-A09 to talk technology, explore partnerships, and shape the future of new drug discovery together.

  3. West China Hospital's Ai Jianzhong and Yang Lu Teams Join Peng Jiajie's Team at Northwestern Polytechnical University to Identify a Novel ALKBH5-Regulated Ferroptosis Mechanism in Prostate Cancer via Large Language Model

    This study developed a large language model integrating hierarchical expert knowledge (HKLLM-RG), identified ALKBH5 as a key risk factor, elucidated the molecular mechanism by which ALKBH5 regulates CHRM3/ZNF281 signaling to promote ferroptosis, and proposed a combination therapy strategy targeting this pathway, providing a new therapeutic target for prostate cancer.

  4. Nat. Comput. Sci. | A Two-Stage Generative Optimization Framework for Therapeutic Antibody Design

    Translating therapeutic antibodies such as DRUGONE into clinical use requires balancing multiple key properties, including antigen-binding specificity, viscosity, clearance, and immunogenicity, yet existing methods often rely on multi-step screening or single-objective optimization and struggle to address these complex properties simultaneously. Researchers propose DualGPT-AB, a two-stage…

  5. 5-Day Countdown: MolPE to Unveil New Product at BIONNOVA 2026

    MolPE will make the first public debut of its new AI drug discovery platform product, and CEO Li Xiang will deliver a keynote speech at the "Frontiers of Next-Generation Antibody Therapeutics" forum.

  6. CMO on BD Case Study: Why Did AbbVie Choose Rongchang's Bispecific Antibody — A Keen Eye or a Forced Choice?

    The partnership between Rongchang and AbbVie has set a benchmark of 'differentiated innovation plus global collaboration' for China's innovative drugs. It is not only a commercial success but also a microcosm of China's biopharmaceutical industry moving from 'following' to 'running alongside' — and AI is quietly rewriting the rules of the game.

2025

  1. 2026: A Year of Upheaval for AI Drug Discovery — Are We Ready?

    2026 will be the year that separates the real players from the rest — only those whose technology can be implemented, and who can truly help pharmaceutical companies shorten timelines and cut costs, will survive, or even thrive. We are still on the way. But one thing is certain: this industry needs not just technology companies, but partners who understand R&D, understand real-world scenarios, and can fight side by side.

  2. Momentum, Breakthrough, Growth: MolPE 2025 Annual Review

    A paradigm shift in drug discovery has arrived—from experience-driven trial and error to data-driven rational design. Standing at this historic inflection point, MolPE is committed to becoming a foundational builder of next-generation drug discovery. We are not just developing tools, but working alongside industry pioneers to redefine how drugs are invented.

  3. MolPE Joins Chinese Antibody Society's mAbTalk China Debut

    Looking ahead, MolPE will continue to leverage the Society's platform to deepen its work in AI-driven drug discovery, working alongside peers to ride this 'Eastern wave' and help Chinese antibody therapies shine even more brightly on the global innovation stage.

  4. MolPE Showcases AI Drug Discovery Solutions at WeStart Online Roadshow

    At the recent WeStart Hard-Tech Starlink biomedical online investment matchmaking event, MolPE presented its core AI drug discovery technology, joining pioneering projects across fields in demonstrating the innovative vitality of biomedicine integrated with hard tech.

  5. MolPE Showcases AI-Driven Drug R&D at CIIE, Winning Official and Market Recognition

    MolPE was invited to participate in the CIIE. As an innovative company focused on AI-driven biopharmaceutical R&D, MolPE presented its core product, the MolPE BioX intelligent drug platform, demonstrating its expertise in developing innovative therapies for cancer and autoimmune diseases.

  6. How Can AI Break the "Impossible Triangle" in Macromolecular Drug R&D?

    Traditional macromolecular drug development faces core pain points: 10–15 year R&D cycles, over $2 billion in investment, less than 10% clinical success rate, and the "impossible triangle" dilemma where optimizing one property necessarily sacrifices others.

  7. MolPE's Roadshow Achievements Draw Attention at International Eye Health Summit

    MolPE CEO Li Xiang was invited to attend and present at the International Eye Health Technology Innovation and Industry Development Summit Forum, detailing the solutions of MolPE's AI bio-drug platform: leveraging a patented multi-property simultaneous optimization technology, the platform can simultaneously optimize the affinity of ophthalmic antibody drugs (such as anti-VEGF drugs)

  8. Three AI Drug Discovery Breakthroughs in the Next Three Years: How Can Small and Mid-Sized Pharma Companies Seize the Opportunity?

    Over the next three years, the key to success in AI-driven drug discovery lies in leveraging one's own resources to seize emerging breakthroughs. By focusing on lightweight approaches such as multimodal SaaS integration, drug repositioning, and virtual toxicity prediction, small and mid-sized pharmaceutical companies can achieve nimble, high-value breakthroughs in the AI wave.

  9. In Conversation with MolPE CEO: Unlocking the Present and Future of AI Drug Discovery

    MolPE founder and CEO Li Xiang will break down industry pain points, explain how AI can drive down traditional pharmaceutical costs, assess the current stage of the sector, and share how the company is leveraging AI for Science policy dividends to accelerate anticancer drug development.

  10. Reshaping Drug R&D Paradigm with AI to Unlock Accelerated Innovation in Biomedicine

    Li Xiang, founder and CEO of MolPE, was invited to attend and delivered a talk titled "AI Empowering Biomedicine: Technological Breakthroughs, Industry Applications, and Future Trends." Drawing on industry trends, technical breakthroughs, and real-world case studies, he shared in-depth and forward-looking insights with over 80 biomedicine professionals, researchers, and investor representatives on site.

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