Intelligent design and construction of novel APN-based theranostic probe driven by advanced computational methods
Intelligent design and construction of novel APN-based theranostic probe driven by advanced computational methods
复制标题
DOI:
10.1016/j.cclet.2023.108948
复制
发表时间:
2023-08
影响因子:
9.1
通讯作者:
Yingli Zhu;Jie Qian;Kunqian Yu;Jing Hou;Yeshuo Ma;Fei Chen;Jie Dong;Wenbin Zeng
中科院分区:
文献类型:
--
作者:
Yingli Zhu;Jie Qian;Kunqian Yu;Jing Hou;Yeshuo Ma;Fei Chen;Jie Dong;Wenbin Zeng
Multifunctional molecules with both optical signal and pharmacological activity play an important role in drug development, disease diagnosis, and basic theoretical research. Aminopeptidase N (APN), as a representative tumor biomarker with anti-tumor potential, still lacks a high-precision theranostic probe specifically targeting it. In this study, a novel quaternity design strategy for APN theranostic probe was developed. This proposed strategy utilizes advanced machine learning and molecular dynamics simulations, and cleverly employs the strategy of conformation-induced fluorescence recovery to achieve multi-objective optimization and integration of functional fragments. Through this strategy, a unique “Off–On” theranostic probe,ABTP-DPTB, was ingeniously constructed to light up APN through fluorescence restoration, relying on conformation-induced effects and solvent restriction. Differ from the common diagnostic probes, the intelligent design with non-substrated linkage makesABTP-DPTBfor long-termin-situimaging. The fabricated probe was used for detecting and inhibiting APN in various environments, with a betterin vitroinhibitory than golden-standard drug bestatin.