We leverage AI-powered de novo protein design to create a new generation of luciferase catalysts, termed the neoLux series, which exhibit superior properties over native luciferases. These features include compact size, robust stability, cofactor independence, efficient cellular expression, higher catalytic efficiency, and unique substrate orthogonality, marking a significant advancement beyond the limitations of native luciferases. Additionally, we computationally designed highly efficient neoLux-fluorescent protein Förster resonance energy transfer (FRET) fusions capable of simultaneous multi-parametric imaging in cellulo and in vivo. Our pioneering approach has created a unified luminescent toolkit to allow for multi-colored tracking of cancer heterogeneity in vivo, paving the way for complex biological discovery.

中文翻译：

---

从头荧光素酶可实现多重生物发光成像


我们利用人工智能驱动的从头蛋白质设计来创造新一代荧光素酶催化剂，称为 neoLux 系列，它表现出优于天然荧光素酶的特性。这些特点包括紧凑的尺寸、稳健的稳定性、辅因子独立性、高效的细胞表达、更高的催化效率和独特的底物正交性，标志着超越天然荧光素酶局限性的重大进步。此外，我们计算设计了高效的 neoLux 荧光蛋白 Förster 共振能量转移 （FRET） 融合，能够在纤维素和 体内同时进行多参数成像。我们的开创性方法创建了一个统一的发光工具包，允许对体内癌症异质 性进行多色追踪，为复杂的生物学发现铺平了道路。