MouseTox: An online toxicity assessment tool for small molecules through Enalos Cloud platform

被引:19
|
作者
Varsou, Dimitra-Danai [1 ,2 ]
Melagraki, Georgia [3 ]
Sarimveis, Haralambos [2 ]
Afantitis, Antreas [1 ]
机构
[1] NovaMechanics Ltd, Nicosia, Cyprus
[2] Natl Tech Univ Athens, Sch Chem Engn, Athens, Greece
[3] Hellen Army Acad, Div Phys Sci & Applicat, Dept Mil Sci, Vari, Greece
关键词
Enalos plus KNIME nodes; Cytotoxicity; KNIME workflow; Random forest; Predictive model; Enalos cloud platform; WEB APPLICATION; QSAR MODEL; INHIBITION; PREDICTION; RECEPTOR; PUBCHEM;
D O I
10.1016/j.fct.2017.09.058
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Advances in the drug discovery research substantially depend on in silico methods and techniques that capitalize on experimental data to enable the accurate property/activity assessment by employing a variety of computational techniques. These in silica tools can significantly reduce expensive and time consuming experimental procedures required and are strongly recommended to avoid animal testing, especially as far as toxicity evaluation and risk assessment is concerned. In this context, in the present work we aim to develop a predictive model for the cytotoxic effects of a wide range of compounds based solely on calculated molecular descriptors that account for their topological, geometric and structural characteristics. The developed model was fully validated and was released online via Enalos Cloud platform accessible through http://enalos.insilicotox.com/MouseTox/. This ready-to-use web service offers, through a user-friendly interface, free access to the model results and therefore can act as a toxicity prediction tool for the risk assessment of novel compounds, without any special requirements or prior programming skills.
引用
收藏
页码:83 / 93
页数:11
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