MOST: most-similar ligand based approach to target prediction.
about
Predicted Biological Activity of Purchasable Chemical Space.Uncovering the Mechanisms of Chinese Herbal Medicine (MaZiRenWan) for Functional Constipation by Focused Network Pharmacology Approach.Approaches in studying the pharmacology of Chinese Medicine formulas: bottom-up, top-down-and meeting in the middle.Machine learning in chemoinformatics and drug discovery.Leaves Tea Improves Dyslipidemia in Diabetic Mice: A Lipidomics-Based Network Pharmacology Study
P2860
MOST: most-similar ligand based approach to target prediction.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
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2017年學術文章
@zh-hant
name
MOST: most-similar ligand based approach to target prediction.
@ast
MOST: most-similar ligand based approach to target prediction.
@en
type
label
MOST: most-similar ligand based approach to target prediction.
@ast
MOST: most-similar ligand based approach to target prediction.
@en
prefLabel
MOST: most-similar ligand based approach to target prediction.
@ast
MOST: most-similar ligand based approach to target prediction.
@en
P2093
P2860
P1433
P1476
MOST: most-similar ligand based approach to target prediction
@en
P2093
Ai-Ping Lu
Cheng-Yuan Lin
Feng-Bin Liu
Linda L D Zhong
for MZRW Group
P2860
P2888
P356
10.1186/S12859-017-1586-Z
P577
2017-03-11T00:00:00Z
P6179
1084249962