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Protein Toolbox: Installing a 'Thinking Operating System' for Protein Design
AI prediction and automation experiments are transforming protein design from an exclusive domain of a few scientists into a widely accessible tool. Matwings Technology's MatwingsVenus platform acts like an 'AI co-pilot,' using natural language commands to coordinate hundreds of tools, achieving a closed loop from design to wet lab validation, compressing processes that take months into hours, and allowing individual researchers to complete complex protein development.
May 17, 2026
AI Protein Laboratory: When Life Sciences Meet Artificial Intelligence, You Can Also Become the 'Hand of God'
Once upon a time, protein design was an exclusive domain of a few top scientists. Today, the involvement of AI is breaking this barrier, turning an 'impassable gap' into a 'smooth path'.
May 14, 2026
Research Agent: The 'GPT Moment' in the Scientific Community Has Arrived
When AI transforms from a 'tool' into a 'partner', research agents are revolutionizing traditional research in 'autopilot' mode—completing months of a PhD's work in 6 hours, with conversational instructions driving a fully closed loop of protein design, experimental validation, and iterative optimization, making cutting-edge research within reach.
May 13, 2026
Conversational wet-dry closed loop, an protein experiment automation platform is defining the future
From protein design computation, to automated wet lab validation, and then to data feedback driving the next round of AI iteration — nowadays, more and more biomanufacturing companies are embedding these seemingly disconnected three steps into a seamlessly connected "integrated" platform.
May 12, 2026
AI Automated Experimental Factory: Conversational Wet-Dry Closed Loop for Protein Design
Researchers only need to 'speak,' and AI and robots can complete the entire process from design to validation—saying goodbye to months of manual trial and error, with real experimental data available the next day. Cloud-based design and automated experiments make traditional high-end research capabilities accessible on demand, allowing individuals to easily achieve a closed-loop breakthrough from idea to sample.
May 10, 2026
How do scientists conduct AI protein design?
Traditional protein design is like "finding a needle in the ocean," taking years and having a very low success rate, but the intervention of AI has completely transformed this 'luck-based' scientific research into an engineering operation that can be precisely controlled.
May 8, 2026.jpg&w=3840&q=75)
Interview with China Economic Weekly: To succeed in biomanufacturing, first learn how to "converse" with AI.
Many students with technical backgrounds, whether in biology, computer science, or other development fields, tend to focus entirely on specific technologies and local requirements, while neglecting their ability to express themselves, communicate, and translate ideas into written form and tasks.
May 7, 2026
Professor Hong team at Shanghai Jiao Tong University has created a protein "toolbox" to design functional proteins using AI.
The Venus model, developed by Professor Hong Liang's team at Shanghai Jiao Tong University, is based on the world's largest protein dataset and can efficiently optimize and modify proteins. It has successfully served 30 companies, modifying more than 30 proteins, of which 8 have been industrialized, saving companies tens of millions of yuan in costs.
Apr 30, 2026
Shanghai Jiao Tong University releases "Venus," a protein design model that uses AI to train "hexagonal warriors."
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Apr 28, 2026
Matwings Technology MatwingsVenus™ – a conversational protein R&D closed-loop agent across dry-lab and wet-lab workflows – has been officially launched!
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Apr 24, 2026