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Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and artificial intelligence models 

Munteanu, Cristian-Robert; González-Díaz, Humberto; García, Rafael; Loza, Mabel; Pazos, A. (Bentham, 2015-09-01)
[Abstract] The molecular information encoding into molecular descriptors is the first step into in silico Chemoinformatics methods in Drug Design. The Machine Learning methods are a complex solution to find prediction ...
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LECTINPred: web server that uses complex networks of protein structure for prediction of lectins with potential use as cancer biomarkers or in parasite vaccine design 

Munteanu, Cristian-Robert; Pedreira Souto, Nieves; Dorado, Julián; Pazos, A.; Pérez-Montoto, Lázaro G.; Ubeira, Florencio; González-Díaz, Humberto (Wiley, 2014-03-18)
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General machine learning model, review, and experimental-theoretic study of magnolol activity in enterotoxigenic induced oxidative stress 

Deng, Yanli; Liu, Yong; Tang, Shaoxun; Zhou, Chuanshe; Han, Xuefeng; Xiao, Wenjun; Pastur-Romay, L.A.; Vázquez-Naya, José; Pereira-Loureiro, Javier; Munteanu, Cristian-Robert; Tang, Zhiliang (Bentham Science, 2017)
[Abstract] This study evaluated the antioxidative effects of magnolol based on the mouse model induced by Enterotoxigenic Escherichia coli (E. coli, ETEC). All experimental mice were equally treated with ETEC suspensions ...

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AuthorMunteanu, Cristian-Robert (3)González-Díaz, Humberto (2)Pazos, A. (2)Deng, Yanli (1)Dorado, Julián (1)García, Rafael (1)Han, Xuefeng (1)Liu, Yong (1)Loza, Mabel (1)Pastur-Romay, L.A. (1)... View MoreSubject
QSAR models (3)
Machine learning (2)Antioxidative activity (1)Cancer biomakers (1)Complex networks (1)Lectins (1)Magnolol (1)Markov chains (1)Molecular information (1)Parasite vaccin design (1)... View MoreDate Issued2017 (1)2015 (1)2014 (1)
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