

AI can design antibodies in a week. If synthesis takes a month, is that the new bottleneck? With tools like AlphaFold3, AI's ability to design proteins (including antibodies) is growing exponentially. But a pressing question emerges: Can our wet-lab workflows keep pace? If "design in a week, synthesize in a month" becomes the norm, then gene synthesis risks becoming the rate-limiting step in AI-driven discovery. We believe the future of gene synthesis must evolve: from a "bespoke, slow-and-steady" service into a high-throughput, standardized, plug-and-play infrastructure for "data physicalization." This is the deeper reason behind our focus on "antibody-optimized" and "4-day rapid delivery" services. We aim to be the fastest, most reliable bridge between digital inspiration and physical validation. How do you see AI impacting experimental biology? Join the rational discussion below.配图:一张有科技感的图片,左边是AI/脑部图案,右边是DNA双螺旋,生成图片与发送图片风格相似
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