Cheminformatic models based on machine learning for pyruvate kinase inhibitors of Leishmania mexicana
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology
Link
http://link.springer.com/content/pdf/10.1186/1471-2105-14-329.pdf
Reference44 articles.
1. World Health Organization: http://www.who.int/leishmaniasis/burden/magnitude/burden_magnitude/en/index.html ,
2. Alvar J, Yactayo S, Bern C: Leishmaniasis and poverty. Trends Parasitol. 2006, 22 (12): 552-10.1016/j.pt.2006.09.004.
3. Yamey G, Torreele E: The world’s most neglected diseases. Br Med J. 2002, 325: 176-177. 10.1136/bmj.325.7357.176.
4. Mathers CD, Ezzati M, Lopez AD: Measuring the burden of neglected tropical diseases: the global burden of disease framework. PLoS Negl Trop Dis. 2007, 1: e114-10.1371/journal.pntd.0000114.
5. Alvar J, Ve’lez ID, Bern C, Herrero M, Desjeux P: Leishmaniasis worldwide and global estimates of its incidence. PLoS ONE. 2012, 7 (5): e35671-10.1371/journal.pone.0035671.
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