Enhancing anti-tumor effect of ultrasensitive bimetallic RuCu nanoparticles as radiosensitizers with dual enzyme-like activities

Bochuan Hu(Key Laboratory of Guangdong Province), Yunjiao Zhang(South China University of Technology), Yuedong Yang(Guangzhou Experimental Station), Yayi Ye(South China University of Technology), Yue Pan(Academy of Medical Sciences), Guotao Yuan(Sun Yat-sen University), Suqin Zhong(Guangdong General Hospital), Lingli Zeng(Sun Yat-sen University), Xiaohua Qin(South China University of Technology), Xiaoli Wang(Chinese Academy of Medical Sciences & Peking Union Medical College), Jieying Qian(Guangzhou First People's Hospital), Pin Chen(Chinese University of Hong Kong)
Biomaterials
September 24, 2022
10.1016/j.biomaterials.2022.121811
Cited by 71

Related Papers

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images
|IEEE/ACM Transactions on Computational Biology and Bioinformatics|2021|836
Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility
|Bioinformatics|2017|389
Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning
|Scientific Reports|2015|365
Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates
|Bioinformatics|2011|334
Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images
|medRxiv|2020|334