Development of classification models for identifying "true" P-glycoprotein (P-gp) inhibitors through inhibition, ATPase activation and monolayer efflux assays.
about
Marine natural products with P-glycoprotein inhibitor properties.A chemoinformatics approach to the discovery of lead-like molecules from marine and microbial sources en route to antitumor and antibiotic drugs.Machine learning-, rule- and pharmacophore-based classification on the inhibition of P-glycoprotein and NorA.Three- and four-class classification models for P-glycoprotein inhibitors using counter-propagation neural networks.
P2860
Development of classification models for identifying "true" P-glycoprotein (P-gp) inhibitors through inhibition, ATPase activation and monolayer efflux assays.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Development of classification ...... n and monolayer efflux assays.
@en
Development of classification ...... n and monolayer efflux assays.
@nl
type
label
Development of classification ...... n and monolayer efflux assays.
@en
Development of classification ...... n and monolayer efflux assays.
@nl
prefLabel
Development of classification ...... n and monolayer efflux assays.
@en
Development of classification ...... n and monolayer efflux assays.
@nl
P2860
P50
P356
P1476
Development of classification ...... n and monolayer efflux assays.
@en
P2093
Anna Maria Bianucci
P2860
P304
P356
10.3390/IJMS13066924
P407
P577
2012-06-07T00:00:00Z