Prediction of multi-target networks of neuroprotective compounds with entropy indices and synthesis, assay, and theoretical study of new asymmetric 1,2-rasagiline carbamates.
about
Multitasking models for quantitative structure-biological effect relationships: current status and future perspectives to speed up drug discovery.Molecular science for drug development and biomedicine.Exploring the anti-proliferative activity of Pelargonium sidoides DC with in silico target identification and network pharmacology.Pred-binding: large-scale protein-ligand binding affinity prediction.Getting SMARt in drug discovery: chemoinformatics approaches for mining structure–multiple activity relationships
P2860
Prediction of multi-target networks of neuroprotective compounds with entropy indices and synthesis, assay, and theoretical study of new asymmetric 1,2-rasagiline carbamates.
description
2014 nî lūn-bûn
@nan
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
2014年论文
@zh
2014年论文
@zh-cn
name
Prediction of multi-target net ...... ric 1,2-rasagiline carbamates.
@en
Prediction of multi-target net ...... ric 1,2-rasagiline carbamates.
@nl
type
label
Prediction of multi-target net ...... ric 1,2-rasagiline carbamates.
@en
Prediction of multi-target net ...... ric 1,2-rasagiline carbamates.
@nl
prefLabel
Prediction of multi-target net ...... ric 1,2-rasagiline carbamates.
@en
Prediction of multi-target net ...... ric 1,2-rasagiline carbamates.
@nl
P2860
P50
P356
P1476
Prediction of multi-target net ...... ric 1,2-rasagiline carbamates.
@en
P2093
Francisco J Romero Durán
Matilde Yañez
P2860
P304
17035-17064
P356
10.3390/IJMS150917035
P407
P577
2014-09-24T00:00:00Z