Balakrishnan Siranjeevi, Rosenthal Katrin
Constructor University, School of Science, Campus Ring 6, Bremen, Germany.
Constructor University, School of Science, Campus Ring 6, Bremen, Germany.
Methods Enzymol. 2025;714:445-463. doi: 10.1016/bs.mie.2025.01.028. Epub 2025 Jan 30.
Cell-free protein synthesis (CFPS) serves as an innovation booster in the field of biocatalysis. By integrating CFPS into the design and development of biocatalysts, the discovery, synthesis, and screening of previously untapped enzymes and their engineered variants can be improved. The high-throughput capability of CFPS accelerates the identification of optimal synthesis conditions, including expression hosts, chaperone sets, temperature, and codon optimization. Moreover, the availability of various CFPS systems facilitates the incorporation of non-canonical amino acids and enables native post-translational modifications. Using CFPS in combination with enzymatic activity assays also helps to determine the best conditions for biocatalytic reactions, such as temperature, pH, substrate, and choice of cofactor. The compatibility of CFPS with robotic and microfluidic systems, along with artificial intelligence, further enhances its high-throughput capabilities. However, challenges remain regarding scalability, the low concentration of the target protein, and the applicability of a generalized CFPS system for the synthesis of any protein. While these challenges impede the incorporation of CFPS in industrial scale biocatalytic processes, its applicability as screening tool is validated to improve biocatalytic reactions. This knowledge can then be transferred to in vivo synthesis systems to improve the overall production outcomes.
无细胞蛋白质合成(CFPS)是生物催化领域的创新助推器。通过将CFPS整合到生物催化剂的设计和开发中,可以改进对以前未开发的酶及其工程变体的发现、合成和筛选。CFPS的高通量能力加快了最佳合成条件的确定,包括表达宿主、伴侣蛋白组、温度和密码子优化。此外,各种CFPS系统的可用性便于掺入非天然氨基酸,并实现天然的翻译后修饰。将CFPS与酶活性测定相结合,也有助于确定生物催化反应的最佳条件,如温度、pH值、底物和辅因子的选择。CFPS与机器人和微流控系统以及人工智能的兼容性,进一步增强了其高通量能力。然而,在可扩展性、目标蛋白浓度低以及通用CFPS系统用于合成任何蛋白质的适用性方面,仍然存在挑战。虽然这些挑战阻碍了CFPS在工业规模生物催化过程中的应用,但其作为筛选工具的适用性已得到验证,可改善生物催化反应。然后,这些知识可以转移到体内合成系统中,以改善整体生产结果。