Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Wen‐Bin Zeng"'
Publikováno v:
Journal of Enzyme Inhibition and Medicinal Chemistry, Vol 38, Iss 1, Pp 24-35 (2023)
Ligand-based drug design methods are thought to require large experimental datasets to become useful for virtual screening. In this work, we propose a computational strategy to design novel inhibitors of coronavirus main protease, Mpro. The pipeline
Externí odkaz:
https://doaj.org/article/74aede9c10164905ad429c3d3436a749
Autor:
Jie Dong, Zhi-Jiang Yao, Min-Feng Zhu, Ning-Ning Wang, Ben Lu, Alex F. Chen, Ai-Ping Lu, Hongyu Miao, Wen-Bin Zeng, Dong-Sheng Cao
Publikováno v:
Journal of Cheminformatics, Vol 9, Iss 1, Pp 1-13 (2017)
Abstract Background In recent years, predictive models based on machine learning techniques have proven to be feasible and effective in drug discovery. However, to develop such a model, researchers usually have to combine multiple tools and undergo s
Externí odkaz:
https://doaj.org/article/9b420796fdd74cba9ddf2fb845c1bbb0
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210943 (2019)
We aimed to characterize the clinical significance of epigenetic loss of death-associated protein kinase (DAPK) gene function through promoter methylation in the development and prognosis of lymphoma. PubMed, Web of Science and ProQuest databases wer
Externí odkaz:
https://doaj.org/article/844e9a8b6167486b96452f13b6684aa1
Publikováno v:
Journal of Enzyme Inhibition and Medicinal Chemistry. 38:24-35
Ligand-based drug design methods are thought to require large experimental datasets to become useful for virtual screening. In this work, we propose a computational strategy to design novel inhibitors of coronavirus main protease, Mpro. The pipeline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07c456ea3adbbf3b56b6336ddaad5482
https://doi.org/10.1080/14756366.2022.2132486
https://doi.org/10.1080/14756366.2022.2132486
Autor:
Xian‐Sen Huo, Ji Tang‐Yang, Wen‐Bin Zeng, Xie‐Er Jian, Xuan‐Xuan Ma, Peng Yue‐Yang, You Wen‐Wei, Pei‐Liang Zhao
Publikováno v:
Drug Development Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0d915e089f88c224e6dbe4c98798bb0
https://doi.org/10.1002/ddr.22066
https://doi.org/10.1002/ddr.22066
Publikováno v:
Food Analytical Methods. 15:1085-1097
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c8bf0745033000e7209580dcc14d432
https://doi.org/10.1007/s12161-021-02179-x
https://doi.org/10.1007/s12161-021-02179-x
Publikováno v:
Journal of Pain Research
Sha-Jie Dang,1,2,* Rui-Li Li,3,* Jun Wang,1 Wen-Bin Zeng,1 Yun He,1 Hui-Yu Yue,1 Si-Yuan Li,4 Li-Chun Han2,5 1Department of Anesthesia, Shaanxi Provincial Cancer Hospital, Xi’an, Shaanxi, People’s Republic of China; 2The Key Laboratory of Biomedi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df745246f4b4a9c0e9ed68deab0f232b
http://europepmc.org/articles/PMC7211314
http://europepmc.org/articles/PMC7211314
Publikováno v:
Food and Chemical Toxicology. 168:113325
No observed adverse effect level (NOAEL) is an identified dose level which used as a point of departure to infer a safe exposure limit of chemicals, especially in food additives and cosmetics. Recently, in silico approaches have been employed as effe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c55abf72d02fe362395d4a9db3a0c959
https://doi.org/10.1016/j.fct.2022.113325
https://doi.org/10.1016/j.fct.2022.113325
Publikováno v:
Innovative Food Science & Emerging Technologies. 66:102499
Food Bioactive Small Molecule Databases (FBSMDs) provide valuable data resources for the study of molecular behavior, molecular nutrition, as well as the R&D of drugs and health products. In this review, 89 food databases were collected and 32 of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56ce62dcdb88ccf19e466452118b74ab
https://doi.org/10.1016/j.ifset.2020.102499
https://doi.org/10.1016/j.ifset.2020.102499
Publikováno v:
PLoS ONE
PLoS ONE, Vol 14, Iss 1, p e0210943 (2019)
PLoS ONE, Vol 14, Iss 1, p e0210943 (2019)
We aimed to characterize the clinical significance of epigenetic loss of death-associated protein kinase (DAPK) gene function through promoter methylation in the development and prognosis of lymphoma. PubMed, Web of Science and ProQuest databases wer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe7ae9be7de73a6f8ec293ec5aa76a4b
https://doi.org/10.1371/journal.pone.0210943
https://doi.org/10.1371/journal.pone.0210943