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Your search keyword '"Zeng, Xuan"' showing total 855 results
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855 results on '"Zeng, Xuan"'

2. Large circuit models: opportunities and challenges

Author

Chen, Lei, Chen, Yiqi, Chu, Zhufei, Fang, Wenji, Ho, Tsung-Yi, Huang, Ru, Huang, Yu, Khan, Sadaf, Li, Min, Li, Xingquan, Li, Yu, Liang, Yun, Liu, Jinwei, Liu, Yi, Lin, Yibo, Luo, Guojie, Pan, Hongyang, Shi, Zhengyuan, Sun, Guangyu, Tsaras, Dimitrios, Wang, Runsheng, Wang, Ziyi, Wei, Xinming, Xie, Zhiyao, Xu, Qiang, Xue, Chenhao, Yan, Junchi, Yang, Jun, Yu, Bei, Yuan, Mingxuan, Young, Evangeline F. Y., Zeng, Xuan, Zhang, Haoyi, Zhang, Zuodong, Zhao, Yuxiang, Zhen, Hui-Ling, Zheng, Ziyang, Zhu, Binwu, Zhu, Keren, and Zou, Sunan

Published
2024
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38. Storable Polydopamine Nanoparticles Combined with Bacillus Calmette‐Guérin for Photothermal‐Immunotherapy of Colorectal Cancer.

Author

Zhuang, Ze‐Nan, Qi, Yong‐Dan, Huang, Qian‐Xiao, Zhang, Cheng, Zeng, Xuan, Zhong, Zhen‐Lin, Cheng, Si‐Xue, and Zhang, Xian‐Zheng

Subjects
COLON cancer, BCG vaccines, COLORECTAL cancer, BCG immunotherapy, BACILLUS (Bacteria), PHOTOTHERMAL effect
Abstract

Photothermal immunotherapy emerges as a promising strategy for treating tumors. However, the majority of current photothermal immunotherapy approaches do not yet show significant potential for clinical translation. In this study, lyophilized polydopamine (PDA) nanoparticles combined with Bacillus Calmette–Guérin (BCG) are investigated for photothermal immunotherapy against colorectal cancer. By simply mixing with two lyophilized powders, PDA nanoparticles can covalently bond onto BCG to form BCG@PDA. This combination demonstrates a potent photothermal cytotoxic effect on tumor cells by utilizing PDA nanoparticles. In addition, a heightened immune response triggered by the BCG vaccine, as evidenced by the secretion of important pro‐inflammatory cytokines and the activation of antigen‐presenting cells, is observed. In vivo testing on a murine colon cancer model demonstrates that the combined treatment significantly inhibits tumor growth. Further, the lyophilized PDA nanoparticles can be stored at −20 °C for up to 1 year with stable photothermal properties. Therefore, this study not only presents a reliable method for storing the therapeutic PDA nanoparticles but also demonstrates the potential application of BCG@PDA in photothermal immunotherapy for colorectal cancer. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Machine learning-assisted substrate binding pocket engineering based on structural information.

Author

Wang, Xinglong, Xu, Kangjie, Zeng, Xuan, Linghu, Kai, Zhao, Beichen, Yu, Shangyang, Wang, Kun, Yu, Shuyao, Zhao, Xinyi, Zeng, Weizhu, Wang, Kai, and Zhou, Jingwen

Subjects
CONVOLUTIONAL neural networks, ACID phosphatase, BINDING sites, BIOCHEMICAL substrates, STRUCTURAL engineering
Abstract

Engineering enzyme–substrate binding pockets is the most efficient approach for modifying catalytic activity, but is limited if the substrate binding sites are indistinct. Here, we developed a 3D convolutional neural network for predicting protein–ligand binding sites. The network was integrated by DenseNet, UNet, and self-attention for extracting features and recovering sample size. We attempted to enlarge the dataset by data augmentation, and the model achieved success rates of 48.4%, 35.5%, and 43.6% at a precision of ≥50% and 52%, 47.6%, and 58.1%. The distance of predicted and real center is ≤4 Å, which is based on SC6K, COACH420, and BU48 validation datasets. The substrate binding sites of Klebsiella variicola acid phosphatase (KvAP) and Bacillus anthracis proline 4-hydroxylase (BaP4H) were predicted using DUnet, showing high competitive performance of 53.8% and 56% of the predicted binding sites that critically affected the catalysis of KvAP and BaP4H. Virtual saturation mutagenesis was applied based on the predicted binding sites of KvAP, and the top-ranked 10 single mutations contributed to stronger enzyme–substrate binding varied while the predicted sites were different. The advantage of DUnet for predicting key residues responsible for enzyme activity further promoted the success rate of virtual mutagenesis. This study highlighted the significance of correctly predicting key binding sites for enzyme engineering. [ABSTRACT FROM AUTHOR]

Published
2024
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