Intelligent design and construction of novel APN-based theranostic probe driven by advanced computational methods

CHINESE CHEMICAL LETTERS(2024)

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摘要
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 makes ABTP-DPTB for long-term in-situ imag-ing. The fabricated probe was used for detecting and inhibiting APN in various environments, with a better in vitro inhibitory than golden-standard drug bestatin.(c) 2023 Published by Elsevier B.V. on behalf of Chinese Chemical Society and Institute of Materia Medica, Chinese Academy of Medical Sciences.
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关键词
Theranostic probe,Artificial intelligence,Conformational restriction,Fluorescence restoration,Design strategy
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