Accelerating the discovery of type Ⅱ photosensitizer: Experimentally validated machine learning models for predicting the singlet oxygen quantum yield of photosensitive molecule-Reference-Cited by-同舟云学术

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Accelerating the discovery of type Ⅱ photosensitizer: Experimentally validated machine learning models for predicting the singlet oxygen quantum yield of photosensitive molecule

Published:2025-02 Issue: Volume:1321 Page:139850
ISSN:0022-2860
Container-title:Journal of Molecular Structure
language:en
Short-container-title:Journal of Molecular Structure

Author:

He Liqiang,Dong Jiapeng,Yang Yuhang,Huang Zihui,Ye Shipian,Ke Xintong,Zhou Yuting,Li Andi,Zhang Zhiwen,Wu Siwei,Wang Yang,Cai Shuting,Liu Xujie^ORCID,He Yan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference67 articles.

1. Photodynamic Therapy in Oncology;Triesscheijn;Oncologist.,2006

2. Light-Triggered Theranostics Based On Photosensitizer-Conjugated Carbon Dots for Simultaneous Enhanced-Fluorescence Imaging and Photodynamic Therapy;Huang;Adv. Mater.,2012

3. Nanoparticles to Mediate X-Ray-Induced Photodynamic Therapy and Cherenkov Radiation Photodynamic Therapy;Cline;Wiley Interdiscip. Rev.Nanomed. Nanobiotechnol.,2019

4. Overcoming the Achilles' Heel of Photodynamic Therapy;Fan;Chem. Soc. Rev.,2016

5. Photodynamic Therapeutics: Basic Principles and Clinical Applications;Sharman;Drug Discov. Today,1999

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