Cargando…
Ligand and Structure-Based Classification Models for Prediction of P-Glycoprotein Inhibitors
[Image: see text] The ABC transporter P-glycoprotein (P-gp) actively transports a wide range of drugs and toxins out of cells, and is therefore related to multidrug resistance and the ADME profile of therapeutics. Thus, development of predictive in silico models for the identification of P-gp inhibi...
Autores principales: | Klepsch, Freya, Vasanthanathan, Poongavanam, Ecker, Gerhard F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2013
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904775/ https://www.ncbi.nlm.nih.gov/pubmed/24050383 http://dx.doi.org/10.1021/ci400289j |
Ejemplares similares
-
Fingerprint-based in silico models for the prediction of P-glycoprotein substrates and inhibitors
por: Poongavanam, Vasanthanathan, et al.
Publicado: (2012) -
Exhaustive Sampling of Docking Poses Reveals Binding Hypotheses for Propafenone Type Inhibitors of P-Glycoprotein
por: Klepsch, Freya, et al.
Publicado: (2011) -
Annotating Human P-Glycoprotein Bioassay Data
por: Zdrazil, Barbara, et al.
Publicado: (2012) -
Computational Modeling Explains the Multi Sterol Ligand
Specificity of the N-Terminal Domain of Niemann–Pick
C1-Like 1 Protein
por: Poongavanam, Vasanthanathan, et al.
Publicado: (2019) -
Virtual Screening Models for Prediction of HIV-1 RT Associated RNase H Inhibition
por: Poongavanam, Vasanthanathan, et al.
Publicado: (2013)