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LiP-Quant, an automated chemoproteomic approach to identify drug targets in complex proteomes
被引:0
作者
:
Feng, Y.
论文数:
0
引用数:
0
h-index:
0
机构:
Biognosys AG, Business Dev, Schlieren, Switzerland
Biognosys AG, Business Dev, Schlieren, Switzerland
Feng, Y.
[
1
]
Beaton, N.
论文数:
0
引用数:
0
h-index:
0
机构:
Biognosys AG, Res & Dev, Schlieren, Switzerland
Biognosys AG, Business Dev, Schlieren, Switzerland
Beaton, N.
[
2
]
Piazza, I.
论文数:
0
引用数:
0
h-index:
0
机构:
Swiss Fed Inst Technol, Inst Mol Syst Biol, Zurich, Switzerland
Biognosys AG, Business Dev, Schlieren, Switzerland
Piazza, I.
[
3
]
Bruderer, R.
论文数:
0
引用数:
0
h-index:
0
机构:
Biognosys AG, Res & Dev, Schlieren, Switzerland
Biognosys AG, Business Dev, Schlieren, Switzerland
Bruderer, R.
[
2
]
Picotti, P.
论文数:
0
引用数:
0
h-index:
0
机构:
Swiss Fed Inst Technol, Inst Mol Syst Biol, Zurich, Switzerland
Biognosys AG, Business Dev, Schlieren, Switzerland
Picotti, P.
[
3
]
Reiter, L.
论文数:
0
引用数:
0
h-index:
0
机构:
Biognosys AG, Res & Dev, Schlieren, Switzerland
Biognosys AG, Business Dev, Schlieren, Switzerland
Reiter, L.
[
2
]
机构
:
[1]
Biognosys AG, Business Dev, Schlieren, Switzerland
[2]
Biognosys AG, Res & Dev, Schlieren, Switzerland
[3]
Swiss Fed Inst Technol, Inst Mol Syst Biol, Zurich, Switzerland
来源
:
EUROPEAN JOURNAL OF CANCER
|
2020年
/ 138卷
关键词
:
D O I
:
暂无
中图分类号
:
R73 [肿瘤学];
学科分类号
:
100214 ;
摘要
:
192
引用
收藏
页码:S54 / S55
页数:2
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