Improving Neuropharmacology using Big Data, Machine Learning and Computational Algorithms

被引：24
|
作者：
Shameer, Khader [1 ,7 ]
Nayarisseri, Anuraj [2 ,3 ]
Romero Duran, Francisco Xavier [4 ]
Gonzalez-Diaz, Humberto [5 ,6 ]
机构：
[1] Mt Sinai Hlth Syst, Dept Genet & Genom Sci, Icahn Inst Genom & Multiscale Biol, INGH, New York, NY 10029 USA
[2] Eminent Biosci, Bioinformat Res Lab, Indore 452010, Madhya Pradesh, India
[3] Legene Biosci, In Silico Res Lab, Indore 452010, Madhya Pradesh, India
[4] IMQ Zorrotzaurre Clin, Ballets Olaeta Kalea 4, Bilbao 48014, Bizkaia, Spain
[5] Univ Basque Country, UPV EHU, Dept Organ Chem 2, Leioa 48940, Biscay, Spain
[6] Ikerbasque, Basque Fdn Sci, Bilbao 48011, Biscay, Spain
[7] Healthcare Transformat Serv, Philips Healthcare, 2 Canal Pk, Cambridge, MA 02141 USA
来源：
CURRENT NEUROPHARMACOLOGY | 2017年 / 15卷 / 08期
基金：
美国国家卫生研究院;
关键词：
ALZHEIMERS-DISEASE; ANOPHELES-GAMBIAE; PROTEIN-SEQUENCE; UNITED-STATES; DRUG; INTEGRATION; PREDICTION; DESIGN;
D O I：
10.2174/1570159X1508171114113425
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
引用
收藏
页码：1058 / 1061
页数：4
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