Cargando…
Classification of P-glycoprotein-interacting compounds using machine learning methods
P-glycoprotein (Pgp) is a drug transporter that plays important roles in multidrug resistance and drug pharmacokinetics. The inhibition of Pgp has become a notable strategy for combating multidrug-resistant cancers and improving therapeutic outcomes. However, the polyspecific nature of Pgp, together...
Autores principales: | Prachayasittikul, Veda, Worachartcheewan, Apilak, Shoombuatong, Watshara, Prachayasittikul, Virapong, Nantasenamat, Chanin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Leibniz Research Centre for Working Environment and Human Factors
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743480/ https://www.ncbi.nlm.nih.gov/pubmed/26862321 http://dx.doi.org/10.17179/excli2015-374 |
Ejemplares similares
-
Prediction of aromatase inhibitory activity using the efficient linear method (ELM)
por: Shoombuatong, Watshara, et al.
Publicado: (2015) -
Predicting Metabolic Syndrome Using the Random Forest Method
por: Worachartcheewan, Apilak, et al.
Publicado: (2015) -
Discovery of novel 1,2,3-triazole derivatives as anticancer agents using QSAR and in silico structural modification
por: Prachayasittikul, Veda, et al.
Publicado: (2015) -
Aromatase inhibitory activity of 1,4-naphthoquinone derivatives and QSAR study
por: Prachayasittikul, Veda, et al.
Publicado: (2017) -
Probing the origins of aromatase inhibitory activity of disubstituted coumarins via QSAR and molecular docking
por: Worachartcheewan, Apilak, et al.
Publicado: (2014)