Practical Aspects of Machine Learning for the Design-Synthesis-Purify-Assay Workflow

被引：1
|
作者：
Sirockin, Finton [1 ]
Stiefl, Nikolaus [1 ]
机构：
[1] Novartis Inst Biomed Res, Fabr Str 2,Novartis Campus, CH-4056 Basel, Switzerland
来源：
CHIMIA | 2018年 / 72卷 / 09期
关键词：
Automated synthesis; Auto-updating learning systems; Machine learning; BIOLOGICAL-ACTIVITY; DRUG DISCOVERY; QSAR; VALIDATION; DATABASE; MODEL; SHAPE;
D O I：
10.2533/chimia.2018.648
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
引用
收藏
页码：648 / 649
页数：2
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