对接(动物)
公共化学
类黄酮
试验装置
化学
训练集
自动停靠
数量结构-活动关系
分子
立体化学
计算生物学
计算机科学
生物化学
生物
人工智能
生物信息学
有机化学
医学
护理部
基因
抗氧化剂
作者
Alexandra M. Harsa,Teodora E. Harsa,Mircea V. Diudea,Dušanka Janežič
出处
期刊:Current Computer - Aided Drug Design
[Bentham Science]
日期:2016-01-06
卷期号:11 (4): 353-360
被引量:1
标识
DOI:10.2174/1874609809666151223093040
摘要
A study of 30 flavonoid derivatives, taken from PubChem database and docked on flavonoid 3-O-glucosyltransferase 3HBF, next submitted to a QSAR study, performed within a hypermolecule frame, to model their LD50 values, is reported. The initial set of molecules was split into a training set and the test set (taken from the best scored molecules in the docking test); the predicted LD50 values, computed on similarity clusters, built up for each of the molecules of the test set, surpassed in accuracy the best model. The binding energies to 3HBF protein, provided by the docking step, are not related to the LD50 of these flavonoids, more protein targets are to be investigated in this respect. However, the docking step was useful in choosing the test set of molecules.
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