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Publikováno v:
International Journal of Medical Sciences. 19:213-224
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), severely infects people and has rapidly spread worldwide. JingFangBaiDu San (JFBDS) has been used to treat prevalent epidemic pathogens, comm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7a8af2d0639d5f074ff36846ef51d83
https://doi.org/10.7150/ijms.67116
https://doi.org/10.7150/ijms.67116
Autor:
Chuan Yun, Fangli Tang, Zhenxiu Gao, Wenjun Wang, Fang Bai, Joshua D. Miller, Huanhuan Liu, Yaujiunn Lee, Qingqing Lou
Publikováno v:
Diabetes & Metabolism Journal, Vol 48, Iss 4, Pp 771-779 (2024)
Background This study aimed to develop a diabetic kidney disease (DKD) prediction model using long short term memory (LSTM) neural network and evaluate its performance using accuracy, precision, recall, and area under the curve (AUC) of the receiver
Externí odkaz:
https://doaj.org/article/2bdbb9c39b5d4113b8d76e56e531c1db
Autor:
Junyi Hou, Shenhui Liu, Xiaodan Zhang, Guowei Tu, Lijie Wu, Yijie Zhang, Hao Yang, Xiangcheng Li, Junlin Liu, Longquan Jiang, Qiwen Tan, Fang Bai, Zhijie Liu, Changhong Miao, Tian Hua, Zhe Luo
Publikováno v:
Cell Discovery, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract Endothelins and their receptors, ETA and ETB, play vital roles in maintaining vascular homeostasis. Therapeutically targeting endothelin receptors, particularly through ETA antagonists, has shown efficacy in treating pulmonary arterial hyper
Externí odkaz:
https://doaj.org/article/f2b047ee5e6b4f45b5278750593415fa
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract The function of proteins depends on their correct structure and proper dynamics. Understanding the dynamics of target proteins facilitates drug design and development. However, dynamic information is often hidden in the spatial structure of
Externí odkaz:
https://doaj.org/article/b939d80fb001497880fe0b01c1bf3d2d
Autor:
Dongdong Wang, Yanxia Li, Hao Yang, Xiaoqi Shen, Xiaolin Shi, Chenyu Li, Yongjing Zhang, Xiaoyu Liu, Bin Jiang, Xudong Zhu, Hanwen Zhang, Xiaoyu Li, Hui Bai, Qing Yang, Wei Gao, Fang Bai, Yong Ji, Qi Chen, Jingjing Ben
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Macrophage-orchestrated inflammation contributes to multiple diseases including sepsis. However, the underlying mechanisms remain to be defined clearly. Here, we show that macrophage TP53-induced glycolysis and apoptosis regulator (TIGAR) is
Externí odkaz:
https://doaj.org/article/c7ad10500ead469595b8dfe398035605
Autor:
Xiao-Mei Zhao, Zhi-Xin Wu, Yan Wang, Ying-Jie Xu, Ye Xiu, Xu Dong, Jun-Jie Li, Gui-Ji Lv, Si-Hao Wang, Yu-Rong Li, Zhao-Fang Bai, Xiao-He Xiao
Publikováno v:
World Journal of Traditional Chinese Medicine, Vol 10, Iss 2, Pp 159-170 (2024)
Background: Idiosyncratic drug-induced liver injury (IDILI) is a serious side effect of drugs, Epimedii Folium (EF) is unequivocally implicated in idiosyncratic liver injury onset, potentially due to its ability to perturb the NOD-like receptor famil
Externí odkaz:
https://doaj.org/article/b97f3bbe463448f6af282ef746624e51
Publikováno v:
JACS Au, Vol 4, Iss 4, Pp 1632-1645 (2024)
Externí odkaz:
https://doaj.org/article/a6e656b1e56b4bd48be28050a323a715
Autor:
Xiong Xie, Qiaoshuai Lan, Jinyi Zhao, Sulin Zhang, Lu Liu, Yumin Zhang, Wei Xu, Maolin Shao, Jingjing Peng, Shuai Xia, Yan Zhu, Keke Zhang, Xianglei Zhang, Ruxue Zhang, Jian Li, Wenhao Dai, Zhen Ge, Shulei Hu, Changyue Yu, Jiang Wang, Dakota Ma, Mingyue Zheng, Haitao Yang, Gengfu Xiao, Zihe Rao, Lu Lu, Leike Zhang, Fang Bai, Yao Zhao, Shibo Jiang, Hong Liu
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 9, Iss 1, Pp 1-14 (2024)
Abstract Respiratory disease caused by coronavirus infection remains a global health crisis. Although several SARS-CoV-2-specific vaccines and direct-acting antivirals are available, their efficacy on emerging coronaviruses in the future, including S
Externí odkaz:
https://doaj.org/article/ed0f8030dd354143aa36edeafd04c36b
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-12 (2023)
Abstract With the continuous development of artificial intelligence technology, more and more computational models for generating new molecules are being developed. However, we are often confronted with the question of whether these compounds are eas
Externí odkaz:
https://doaj.org/article/c7d525ba5b294713b20b0795b0491999