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Intelligent design and construction of novel APN-based theranostic probe driven by advanced computational methods
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作者 Yingli Zhu Jie Qian +5 位作者 Kunqian Yu Jing Hou yeshuo ma Fei Chen Jie Dong Wenbin Zeng 《Chinese Chemical Letters》 SCIE CAS CSCD 2024年第2期352-357,共6页
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 tum... 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 imaging.The fabricated probe was used for detecting and inhibiting APN in various environments,with a better in vitro inhibitory than golden-standard drug bestatin. 展开更多
关键词 Theranostic probe Artificial intelligence Conformational restriction Fluorescence restoration Design strategy
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