Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Xue-qing LI"'
Autor:
Xue‐Qing Li, Bo Lindmark, Carl Amilon, Kristin Samuelsson, Lars Weidolf, Karin Nelander, Jane Knöchel, Maria Heijer, Ryan A. Bragg, Malin Gränfors, Eva‐Lotte Lindstedt, Sharan Sidhu, Pavlo Garkaviy, Hans Ericsson
Publikováno v:
Pharmacology Research & Perspectives, Vol 12, Iss 5, Pp n/a-n/a (2024)
Abstract In this study, the mass balance, pharmacokinetics (PK) and metabolism of atuliflapon, a novel 5‐lipoxygenase‐activating protein inhibitor, were investigated in healthy male subjects. A single oral dose of 200 mg [14C]atuliflapon suspensi
Externí odkaz:
https://doaj.org/article/76c37c93a11c42119bf483510f8f49aa
Publikováno v:
Zhongguo gonggong weisheng, Vol 38, Iss 12, Pp 1582-1587 (2022)
ObjectiveTo explore the status and influencing factors of attitudes and approaches to acquiring health knowledge among employees in public places in Zhejiang province. MethodsA face-to-face survey was conducted among 1 296 employees working in hotels
Externí odkaz:
https://doaj.org/article/770c963a48634aad94e10a0c23717968
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-16 (2022)
Abstract Background Hepatocellular carcinoma (HCC) is a primary malignant tumor that accounts for approximately 90% of all cases of primary liver cancer worldwide. Microtubule alterations may contribute to the broad spectrum of resistance to chemothe
Externí odkaz:
https://doaj.org/article/777d2f32f4b64c6e9b4d455e0eca9e6b
Publikováno v:
AMB Express, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract To improve the temperature characteristics and catalytic efficiency of a glycoside hydrolase family (GHF) 11 xylanase from Aspergillus oryzae (AoXyn11A), its variants were predicted based on in silico design. Firstly, Gly21 with the maximum
Externí odkaz:
https://doaj.org/article/e52adafe291e40a3847e146343c0449b
Autor:
Mei-Ling Han1, Xue-Qing Li1, Chun-Dan Zhang1, Mei-Xue Li1, Meng-Han Zhang1, Min An1, Xin-Ying Dou1, Tian-Xin Zhang1, Xun-You Yan1,2, Lu-Sen Bian3, Qi An1,2 fungiqian@163.com
Publikováno v:
BioResources. 2022, Vol. 17 Issue 3, p4921-4936. 16p.
Publikováno v:
Mining, Metallurgy & Exploration. 39:1553-1562
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a1e123450c5f4bea0a265a297877bfe
https://doi.org/10.1007/s42461-022-00623-y
https://doi.org/10.1007/s42461-022-00623-y
Autor:
Wan-Xin Liu, Meng-Yao Zhao, Mei-Xue Li, Xue-Qing Li, Tian-Xin Zhang, Xi Chen, Xun-You Yan, Lu-Sen Bian, Qi An, Wen-Jing Li, Mei-Ling Han
Publikováno v:
BioResources. 17:1533-1550
Laccase has huge potential application in all aspects of biotechnology due to the ability of laccase to oxidize a wide range of phenolic and non-phenolic compounds. The future success of such applications requires large amounts of laccase with low co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::517b1ff5359522290c5495e6eadfc7ca
https://doi.org/10.15376/biores.17.1.1533-1550
https://doi.org/10.15376/biores.17.1.1533-1550
Autor:
Lars Weidolf, Xue-Qing Li, Anders Dahlén, Shalini Andersson, Marie Elebring, David Janzén, Peter Gennemark, Mikko Hölttä, Anders Björkbom
Publikováno v:
Drug Discovery Today. 26:2244-2258
Drug properties of antisense oligonucleotides (ASOs) differ significantly from those of traditional small-molecule therapeutics. In this review, we focus on ASO disposition, mainly as characterized by distribution and biotransformation, of nonconjuga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dfa10ddbbcf8fc64d9301ad8e2eed58
https://doi.org/10.1016/j.drudis.2021.04.002
https://doi.org/10.1016/j.drudis.2021.04.002
Publikováno v:
Biochemical and Biophysical Research Communications. 559:35-41
The tumor microenvironment and interplay with cancer cells could promote tumor growth and metastasis. Here we report that polarization state of macrophages could affect epithelial-mesenchymal transition (EMT) and mesenchymal-epithelial transition (ME
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a376fb5991d4350a5eecee3169b1ff24
https://doi.org/10.1016/j.bbrc.2021.04.050
https://doi.org/10.1016/j.bbrc.2021.04.050
GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder
Autor:
Tianyue Zhang, Qing-Ming Qin, Bo-Rui Zhang, Xue-Qing Li, Hao Zhang, Li Wang, Hao-Wu Chang, Tianheng Zhao
Publikováno v:
Journal of Computer Science and Technology. 36:299-309
Unlike traditional clustering analysis, the biclustering algorithm works simultaneously on two dimensions of samples (row) and variables (column). In recent years, biclustering methods have been developed rapidly and widely applied in biological data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c9b6bc71a7dc0bdf600363819932aed
https://doi.org/10.1007/s11390-021-0804-3
https://doi.org/10.1007/s11390-021-0804-3