In Silico Identification of Potent PPAR-γ Agonists from Traditional Chinese Medicine: A Bioactivity Prediction, Virtual Screening, and Molecular Dynamics Study.
about
Virtual screening of the inhibitors targeting at the viral protein 40 of Ebola virus.Regulatory landscape of AGE-RAGE-oxidative stress axis and its modulation by PPARγ activation in high fructose diet-induced metabolic syndrome.The peroxisome proliferator-activated receptors in cardiovascular diseases: experimental benefits and clinical challenges.In silico identification of potential drug compound against Peroxisome proliferator-activated receptor-gamma by virtual screening and toxicity studies for the treatment of Diabetic Nephropathy.
P2860
In Silico Identification of Potent PPAR-γ Agonists from Traditional Chinese Medicine: A Bioactivity Prediction, Virtual Screening, and Molecular Dynamics Study.
description
2014 nî lūn-bûn
@nan
2014 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
In Silico Identification of Po ...... and Molecular Dynamics Study.
@ast
In Silico Identification of Po ...... and Molecular Dynamics Study.
@en
type
label
In Silico Identification of Po ...... and Molecular Dynamics Study.
@ast
In Silico Identification of Po ...... and Molecular Dynamics Study.
@en
prefLabel
In Silico Identification of Po ...... and Molecular Dynamics Study.
@ast
In Silico Identification of Po ...... and Molecular Dynamics Study.
@en
P2860
P356
P1476
In Silico Identification of Po ...... and Molecular Dynamics Study.
@en
P2093
Calvin Yu-Chian Chen
Kuan-Chung Chen
P2860
P304
P356
10.1155/2014/192452
P577
2014-05-26T00:00:00Z