Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yankang Jing"'
Publikováno v:
Chemical research in toxicology. 35(8)
Molecular dynamics was used to optimize the droperidol-hERG complex obtained from docking. To accommodate the inhibitor, residues T623, S624, V625, G648, Y652, and F656 did not move significantly during the simulation, while F627 moved significantly.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a1e5215740601cef290f111a3ec452e
https://pubmed.ncbi.nlm.nih.gov/35895844
https://pubmed.ncbi.nlm.nih.gov/35895844
Autor:
Adrian F. Hernandez, Yankang Jing, Lindsay E. Clegg, David W. Boulton, Robert C. Penland, Rury R. Holman, Jiten Vora
Publikováno v:
Diabetes, Obesity and Metabolism. 23:1101-1110
Aim To provide evidence on the cardiovascular and renal safety of metformin in chronic kidney disease (CKD) stages 3 to 4. Materials and methods This post hoc analysis compared participants with an estimated glomerular filtration rate (eGFR) of 15 to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07783e36457121ec71912c33b78c1efa
https://doi.org/10.1111/dom.14313
https://doi.org/10.1111/dom.14313
Autor:
Ying Xue, Xiang-Qun Xie, Amy L. Seybert, Yankang Jing, Ziheng Hu, Xiaoye Li, Qianzhou Lv, Junmei Wang, Hongyi Wu
Publikováno v:
Journal of Clinical Pharmacy and Therapeutics. 45:1076-1086
What is known and objective Although ticagrelor has been well-known to improve clinical outcomes in patients undergoing percutaneous coronary intervention (PCI), and its effectiveness and safety have not been well evaluated in Chinese patients. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79a85048f9c4c9743884aeb914ec4f77
https://doi.org/10.1111/jcpt.13172
https://doi.org/10.1111/jcpt.13172
Designing highly selective compounds to protein subtypes and developing allosteric modulators targeting them are critical considerations to both drug discovery and mechanism studies for cannabinoid receptors. It is challenging but in demand to have c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae80afc117a03f625314f37b243f5ba6
https://europepmc.org/articles/PMC6732211/
https://europepmc.org/articles/PMC6732211/
Drug abuse (DA) or drug addiction is a complicated brain disorder which is commonly considered as neurobiological impairments caused by both genetic factors and environmental effects. Among DA-related targets, G protein-coupled receptors (GPCRs) play
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a894e7d223dd7f28f063d868979dca3
https://europepmc.org/articles/PMC6758544/
https://europepmc.org/articles/PMC6758544/
Autor:
Junmei Wang, Peihao Fan, Xiang-Qun Xie, Yankang Jing, Ying Xue, Ralph E. Tarter, Michael M. Vanyukov, Ziheng Hu, Lirong Wang, Levent Kirisci
Publikováno v:
Drug Alcohol Depend
Background Substance use disorder (SUD) exacts enormous societal costs in the United States, and it is important to detect high-risk youths for prevention. Machine learning (ML) is the method to find patterns and make prediction from data. We hypothe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b7b3d8acb21b289d9b1346fecd16f78
https://doi.org/10.1016/j.drugalcdep.2019.107605
https://doi.org/10.1016/j.drugalcdep.2019.107605
Publikováno v:
The AAPS journal. 20(4)
Over the last decade, deep learning (DL) methods have been extremely successful and widely used to develop artificial intelligence (AI) in almost every domain, especially after it achieved its proud record on computational Go. Compared to traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49903ac01ac0add32db9612a819c2f9e
https://pubmed.ncbi.nlm.nih.gov/29603063
https://pubmed.ncbi.nlm.nih.gov/29603063
Publikováno v:
Acta pharmacologica Sinica. 40(3)
With treatment benefits in both the central nervous system and the peripheral system, the medical use of cannabidiol (CBD) has gained increasing popularity. Given that the therapeutic mechanisms of CBD are still vague, the systematic identification o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f00acfcb90f4c4316d0ffed928b09a7
https://pubmed.ncbi.nlm.nih.gov/30202014
https://pubmed.ncbi.nlm.nih.gov/30202014
Publikováno v:
The AAPS journal. 20(3)
Over the last decade, deep learning (DL) methods have been extremely successful and widely used to develop artificial intelligence (AI) in almost every domain, especially after it achieved its proud record on computational Go. Compared to traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfaebfde762af02ac5e2267ddcb2538d
https://pubmed.ncbi.nlm.nih.gov/29943256
https://pubmed.ncbi.nlm.nih.gov/29943256
Autor:
Franco Lombardo, Yankang Jing
Publikováno v:
Journal of chemical information and modeling. 56(10)
We present three in silico volume of distribution at steady state (VDss) models generated on a training set comprising 1096 compounds, which goes well beyond the conventional drug space delineated by the Rule of 5 or similar approaches. We have perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8b70f47e6892bf306b1926b030bde94
https://pubmed.ncbi.nlm.nih.gov/27602694
https://pubmed.ncbi.nlm.nih.gov/27602694