Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning-Reference-Cited by-同舟云学术

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Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning

Published:2019-06-19 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Miao Rui,Xia Liang-Yong,Chen Hao-Heng,Huang Hai-Hui,Liang Yong

Funder

Macau University of Science and Technology Foundation

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-44773-4.pdf

Reference49 articles.

1. Menken, M., Munsat, T. L. & Toole, J. F. The global burden of disease study: Implications for neurology. Archives of Neurology 57, 418–420 (2000).

2. Pardridge, W. M. & Mietus, L. J. Transport of Steroid Hormones through the Rat Blood-Brain Barrier: PRIMARY ROLE OF ALBUMIN-BOUND HORMONE. The Journal of Clinical Investigation 64, 145–154 (1979).

3. Harnish, P. P., Krutchen, A. & Mukherji, M. Intravascular contrast media and the blood-brain barrier. Testing the new nonionic agent ioxilan. Invest Radiol 24, 34–36 (1989).

4. Dieterich, H.-J. R., Reutershan, J. R., Felbinger, T. W. & Eltzschig, H. K. Penetration of Intravenous Hydroxyethyl Starch into the Cerebrospinal Fluid in Patients with Impaired Blood-Brain Barrier Function. Anesthesia & Analgesia 96, 1150–1154 (2003).

5. Pardridge, W. M. The blood-brain barrier: Bottleneck in brain drug development. NeuroRX 2, 3–14 (2005).

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