Cargando…
A classification model to predict synergism/antagonism of cytotoxic mixtures using protein-drug docking scores
BACKGROUND: Safer and more effective mixtures of anticancer drugs are needed, and modeling can assist in this endeavor. This paper describes classification models that were constructed to predict which fixed-ratio mixtures created from a pool of 10 drugs would show a high degree of in-vitro synergis...
Autores principales: | Boik, John C, Newman, Robert A |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2526994/ https://www.ncbi.nlm.nih.gov/pubmed/18664274 http://dx.doi.org/10.1186/1471-2210-8-13 |
Ejemplares similares
-
Glutathione and the Antioxidant Potential of Binary Mixtures with Flavonoids: Synergisms and Antagonisms
por: Pereira, Renato B., et al.
Publicado: (2013) -
Structure-activity models of oral clearance, cytotoxicity, and LD50: a screen for promising anticancer compounds
por: Boik, John C, et al.
Publicado: (2008) -
Reconceptualizing synergism and antagonism among multiple stressors
por: Piggott, Jeremy J, et al.
Publicado: (2015) -
Electrochemical Oxidability of Antioxidants: Synergism and Antagonism in Mixes
por: Sazhina, Natalia, et al.
Publicado: (2018) -
Complex interactions of lovastatin with 10 chemotherapeutic drugs: a rigorous evaluation of synergism and antagonism
por: Khandelwal Gilman, Kaitlyn A., et al.
Publicado: (2021)