Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Li Jun Huang"'
Publikováno v:
F1000Research, Vol 7 (2018)
PathLinker is a graph-theoretic algorithm originally developed to reconstruct the interactions in a signaling pathway of interest. It efficiently computes multiple short paths within a background protein interaction network from the receptors to tran
Externí odkaz:
https://doaj.org/article/e4e46b6b8bd24209ae58d79a8046d5cd
Publikováno v:
Medicinal Plant Biology, Vol 3, Iss 1, Pp 1-11 (2024)
Polygonati rhizoma (Huangjing in China) is a widely utilized medicinal and edible plant within traditional Chinese medicine, displaying significant potential for medicinal application, agricultural value, and societal importance. Enriched with polysa
Externí odkaz:
https://doaj.org/article/424aa9b077a74aa88327710f3edc64c0
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Callose is an important linear form of polysaccharide synthesized in plant cell walls. It is mainly composed of β-1,3-linked glucose residues with rare amount of β-1,6-linked branches. Callose can be detected in almost all plant tissues and are wid
Externí odkaz:
https://doaj.org/article/114a134963ee404b9a7a5c1426727188
Publikováno v:
Frontiers in Plant Science, Vol 13 (2023)
Regulation of gene expression underpins gene function and is essential for regulation of physiological roles. Epigenetic modifications regulate gene transcription by physically facilitating relaxation or condensation of target loci in chromatin. Tran
Externí odkaz:
https://doaj.org/article/3214eb0165b84585a56d95238ebc9adf
Autor:
Ge Li, Bao Zhang, Jia-hui Sun, Li-yang Shi, Meng-yao Huang, Li-jun Huang, Zi-jing Lin, Qiong-yu Lin, Bi-qin Lai, Yuan-huan Ma, Bin Jiang, Ying Ding, Hong-bo Zhang, Miao-xin Li, Ping Zhu, Ya-qiong Wang, Xiang Zeng, Yuan-shan Zeng
Publikováno v:
Bioactive Materials, Vol 6, Iss 11, Pp 3766-3781 (2021)
The mechanism underlying neurogenesis during embryonic spinal cord development involves a specific ligand/receptor interaction, which may be help guide neuroengineering to boost stem cell-based neural regeneration for the structural and functional re
Externí odkaz:
https://doaj.org/article/f0bfc344f9fa4db5a13cab39f61eb7e5
Autor:
Lu-Na Sun, Jing-Wen Gu, Li-Jun Huang, Zhi-Lei Shang, Yao-Guang Zhou, Li-Li Wu, Yan-Pu Jia, Nian-Qi Liu, Wei-Zhi Liu
Publikováno v:
Chinese Journal of Traumatology, Vol 24, Iss 4, Pp 221-230 (2021)
Purpose: Posttraumatic stress disorder (PTSD) is a significant global mental health concern, especially in the military. This study aims to estimate the efficacy of mindfulness meditation in the treatment of military-related PTSD, by synthesizing evi
Externí odkaz:
https://doaj.org/article/5d1ea946550a4d2aa81c6b81f7f910ed
Autor:
Li-Jun Huang, Yu-Mei Wang, Lei-Qiang Gong, Chao Hu, Yu Gui, Chen Zhang, Xue Tan, Xian-Kuo Yu, Yi-Le Liao, Yan Luo, Yu-Qin Tang, Yi-Fei Dai, Yun Deng, Dong Wang, Da-le Guo
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Ulcerative Colitis (UC) is a major form of chronic inflammatory bowel disease of the colonic mucosa and exhibits progressive morbidity. There is still a substantial need of small molecules with greater efficacy and safety for UC treatment. Here, we r
Externí odkaz:
https://doaj.org/article/30e9eba72c20460e97999e78dd95ed5c
Publikováno v:
Frontiers in Plant Science, Vol 11 (2021)
Agriculture is largely dependent on climate and is highly vulnerable to climate change. The global mean surface temperatures are increasing due to global climate change. Temperature beyond the physiological optimum for growth induces heat stress in p
Externí odkaz:
https://doaj.org/article/6841eeaf77dd4d9fb9306d391f50685a
Autor:
Yun Deng, Meimei Li, Wenxiu Guo, Cong-cong Li, Xue-yan Huo, Yunjie Hu, Dale Guo, Li-jun Huang, Yu Jiang
Publikováno v:
Records of Natural Products. :522-528
Autor:
Peng Peng, Danping Wu, Fei-Chi Han, Li-Jun Huang, Zhenlin Wei, Jie Wang, Yizhang Jiang, Kaijian Xia
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-19
Currently, breast cancer is one of the most common cancers among women. To aid clinicians in diagnosis, lesion regions in mammography pictures can be segmented using an artificial intelligence system. This has significant clinical implications. Clust